Nonlocal Methods for Arbitrary Data Sources

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Publication of elaborated Wikipedia articles for nonlocal methods

We will write elaborated articles on the English Wikipedia website to transfer knowledge about nonlocal methods to the public.

Publication of educative MATLAB tutorials on MathWorks FileExchange

We will publish MATLAB tutorials and educative software examples on the MATLAB exchange platform to transfer knowledge about nonlocal methods to programmers

Publication of online lecture notes on nonlocal methods for different audiences

We will publish lecture notes on nonlocal methods both in the discrete as well as continuous setting for different audiences, e.g., mathematiciens and engineers.

Publication of new mathematical findings (WP 1-4) in scientific journals and international conferences

We will publish the findings of Work Packages 15 in highlyrecognized journals and international conferences and aim for Open Access publishment where feasible

Implementation of a comprehensive open source library for graph-based models on GPGPUs

We will establish an open source implementation for working on discrete data using finite weighted graphs with parallelization support for GPGPUs.

Pubblicazioni

Variational regularisation for inverse problems with imperfect forward operators and general noise models

Autori: Leon Bungert, Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb
Pubblicato in: Inverse Problems, Numero 36/12, 2020, Pagina/e 125014, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/abc531

Learning new physics efficiently with nonparametric methods

Autori: Letizia, Marco; Losapio, Gianvito; Rando, Marco; Grosso, Gaia; Wulzer, Andrea; Pierini, Maurizio; Zanetti, Marco; Rosasco, Lorenzo
Pubblicato in: The European Physical Journal C, Numero 82.10, 2022, ISSN 1434-6052
Editore: Springer
DOI: 10.1140/epjc/s10052-022-10830-y

Rates of Convergence for Laplacian Semi-Supervised Learning with Low Labeling Rates

Autori: Jeff Calder, Dejan Slepcev and Matthew Thorpe
Pubblicato in: Research in the Mathematical Sciences, Numero 10.1, 2023, ISSN 2522-0144
Editore: SpringerOpen
DOI: 10.1007/s40687-022-00371-x

Efficient $\ell ^0$ Gradient-Based Super-Resolution for Simplified Image Segmentation

Autori: Pasquale Cascarano, Luca Calatroni, Elena Loli Piccolomini
Pubblicato in: IEEE Transactions on Computational Imaging, Numero 7, 2022, Pagina/e 399-408, ISSN 2333-9403
Editore: IEEE
DOI: 10.1109/tci.2021.3070720

COL0RME: Super-resolution microscopy based on sparse blinking/fluctuating fluorophore localization and intensity estimation

Autori: Stergiopoulou, Vasiliki; Calatroni, Luca; de Morais Goulart, Henrique; Schaub, Sébastien; Blanc-Féraud, Laure
Pubblicato in: Biological Imaging, Numero 2.E1, 2022, ISSN 2633-903X
Editore: Cambridge University Press
DOI: 10.1017/s2633903x22000010

A Stochastic Proximal Alternating Minimization for Nonsmooth and Nonconvex Optimization

Autori: Driggs, Derek; Tang, Junqi; Liang, Jingwei; Davies, Mike; Schönlieb, Carola-Bibiane
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 14.4, 2021, Pagina/e 1932--1970, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1387213

Continuum limit of p-Laplacian evolution problems on graphs:Lq graphons and sparse graphs

Autori: I. El Bouchairi, M.J. Fadili, A. Elmoataz
Pubblicato in: ESAIM: Mathematical Modelling and Numerical Analysis, Numero 57.3, 2023, Pagina/e 1795--1838, ISSN 0764-583X
Editore: EDP Sciences
DOI: 10.1051/m2an/2023006

Network Structured Kinetic Models of Social Interactions.

Autori: Martin Burger
Pubblicato in: Vietnam Journal of Mathematics, Numero 49.3, 2021, Pagina/e 937-956, ISSN 2305-2228
Editore: Springer
DOI: 10.1007/s10013-021-00505-8

On and beyond Total Variation regularisation in imaging: the role of space variance

Autori: Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro; Sgallari, Fiorella
Pubblicato in: SIAM Review, Numero 65.3, 2023, Pagina/e 601-685, ISSN 0036-1445
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1410683

On Learned Operator Correction in Inverse Problems

Autori: Sebastian Lunz, Andreas Hauptmann, Tanja Tarvainen, Carola-Bibiane Schönlieb, Simon Arridge
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 14/1, 2021, Pagina/e 92-127, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1338460

A Three-Stage Self-Training Framework for Semi-Supervised Semantic Segmentation

Autori: R Ke, A Aviles-Rivero, S Pandey, S Reddy, CB Schönlieb
Pubblicato in: IEEE Transactions on Image Processing, Numero 31, 2022, Pagina/e 1805 - 1815, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2022.3144036

ADMM-Based Residual Whiteness Principle for Automatic Parameter Selection in Single Image Super-Resolution Problems

Autori: Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro; Sgallari, Fiorella
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 65.1, 2022, Pagina/e 99--123, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-022-01110-1

Continuum Limit of Lipschitz Learning on Graphs

Autori: Tim Roith, Leon Bungert
Pubblicato in: Foundations of Computational Mathematics, Numero 23.2, 2020, Pagina/e 393-431, ISSN 1615-3375
Editore: Springer Verlag
DOI: 10.1007/s10208-022-09557-9

On Anisotropic Optical Flow Inpainting Algorithms

Autori: Lara Raad; Maria Oliver; Coloma Ballester; Gloria Haro; Enric Meinhardt
Pubblicato in: Image Processing On Line, Numero 1, 2020, Pagina/e 78--104, ISSN 2105-1232
Editore: IPOL Image Processing On Line & the authors
DOI: 10.5201/ipol.2020.281

Convergence rates of the Heavy-Ball method for quasi-strongly convex optimization

Autori: Aujol, Jean-François; Dossal, Charles,; Rondepierre, Aude
Pubblicato in: SIAM Journal on Optimization, Numero 32.3, 2022, Pagina/e 1817--1842, ISSN 1052-6234
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1403990

Towards soccer pass feasibility maps: the role of players' orientation

Autori: Arbués-Sangüesa, Adrià; Martín, Adrián; Fernández, Javier; Haro, Gloria; Ballester, Coloma
Pubblicato in: Journal of Sports Sciences, Numero 39.24, 2021, Pagina/e 2772--2785, ISSN 0264-0414
Editore: Taylor & Francis
DOI: 10.1080/02640414.2021.1959176

Deep limits of residual neural networks

Autori: M. Thorpe, Y. van Gennip
Pubblicato in: Research in the Mathematical Sciences, Numero 10.1, 2022, ISSN 2197-9847
Editore: SpringerOpen
DOI: 10.1007/s40687-022-00370-y

3D deformable registration of longitudinal abdominopelvic CT images using unsupervised deep learning

Autori: Maureen van Eijnatten, Leonardo Rundo, K. Joost Batenburg, Felix Lucka, Emma Beddowes, Carlos Caldas, Ferdia A. Gallagher, Evis Sala, Carola-Bibiane Schönlieb, Ramona Woitek
Pubblicato in: Computer Methods and Programs in Biomedicine, Numero 208, 2021, Pagina/e 106261, ISSN 0169-2607
Editore: Elsevier BV
DOI: 10.1016/j.cmpb.2021.106261

The U-Net Family for Epicardial Adipose Tissue Segmentation and Quantification in Low-Dose CT

Autori: Liu, Lu; Ma, Runlei; van Ooijen, Peter M. A.; Oudkerk, Matthijs; Vliegenthart, Rozemarijn; Veldhuis, Raymond N. J.; Brune, Christoph
Pubblicato in: Technologies, Numero 11.4, 2023, Pagina/e 104, ISSN 2227-7080
Editore: MDPI
DOI: 10.3390/technologies11040104

From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds

Autori: Trillos, Nicolas Garcia; Murray, Ryan; Thorpe, Matthew
Pubblicato in: Archive for Rational Mechanics and Analysis, Numero 244.3, 2022, Pagina/e 541-598, ISSN 0003-9527
Editore: Springer Verlag
DOI: 10.1007/s00205-022-01770-8

Modular-Proximal Gradient Algorithms in Variable Exponent Lebesgue Spaces

Autori: Lazzaretti, Marta; Calatroni, Luca; Estatico, Claudio
Pubblicato in: SIAM Journal on Scientific Computing, Numero 44.6, 2022, Pagina/e A3463-A3489, ISSN 1064-8275
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1464336

Convergence of an asynchronous block-coordinate forward-backward algorithm for convex composite optimization

Autori: Traoré, Cheik; Salzo, Saverio; Villa, Silvia
Pubblicato in: Computational Optimization and Applications, Numero 86.1, 2023, Pagina/e 303-344, ISSN 0926-6003
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10589-023-00489-w

Structural analysis of an L-infinity variationalproblem and relations to distance functions

Autori: Leon Bungert, Yury Korolev, Martin Burger
Pubblicato in: Pure and Applied Analysis, Numero 2/3, 2020, Pagina/e 703-738, ISSN 2578-5885
Editore: Mathematical Science Publishers
DOI: 10.2140/paa.2020.2.703

"Improving ""Fast Iterative Shrinkage-Thresholding Algorithm"": Faster, Smarter, and Greedier"

Autori: Liang, Jingwei; Luo, Tao; Schönlieb, Carola-Bibiane
Pubblicato in: {SIAM} Journal on Scientific Computing, Numero 44.3, 2022, Pagina/e A1069-A1091, ISSN 1064-8275
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1395685

Limits and consistency of nonlocal and graph approximations to the Eikonal equation

Autori: Jalal Fadili, Nicolas Forcadel, Thi Tuyen Nguyen, Rita Zantout
Pubblicato in: IMA Journal of Numerical Analysis, Numero 43, 2023, Pagina/e 3685-3728, ISSN 0272-4979
Editore: Oxford University Press
DOI: 10.1093/imanum/drac082

An elementary analysis of ridge regression with random design

Autori: Mourtada, Jaouad; Rosasco, Lorenzo
Pubblicato in: Comptes Rendus. Math{\'{e}}matique, Numero 360.G9, 2022, Pagina/e 1055--1063, ISSN 1631-073X
Editore: Elsevier Masson
DOI: 10.5802/crmath.367

Constrained and Unconstrained Inverse Potts Modelling for Joint Image Super-Resolution and Segmentation

Autori: Mylonopoulos, Dario; Cascarano, Pasquale; Calatroni, Luca; Piccolomini, Elena Loli
Pubblicato in: Image Processing On Line, Numero 12, 2022, Pagina/e 92--110, ISSN 2105-1232
Editore: Image Processing On Line & the authors
DOI: 10.5201/ipol.2022.393

Learning phase field mean curvature flows with neural networks

Autori: Bretin, Elie; Denis, Roland; Masnou, Simon; Terii, Garry
Pubblicato in: Journal of Computational Physics, Numero 470, 2022, Pagina/e 111579, ISSN 0021-9991
Editore: Academic Press
DOI: 10.1016/j.jcp.2022.111579

Fast and stable schemes for non-linear osmosis filtering

Autori: Calatroni, L.; Morigi, S.; Parisotto, S.; Recupero, G. A.
Pubblicato in: Computers & Mathematics with Applications, Numero 133, 2023, Pagina/e 30-47, ISSN 0898-1221
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.camwa.2022.12.015

Joint reconstruction-segmentation on graphs

Autori: Jeremy Budd, Yves van Gennip, Jonas Latz, Simone Parisotto, Carola-Bibiane Schönlieb
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 16.2, 2023, Pagina/e 911-947, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/22m151546x

Modes of Homogeneous Gradient Flows

Autori: Ido Cohen; Omri Azencot; Pavel Lifshits; Guy Gilboa
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 14.3, 2021, Pagina/e 913--945, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.13140/rg.2.2.28495.71848

Autophosphorylation and the dynamics of the activation of Lck

Autori: Lisa Maria Kreusser, Alan D. Rendall
Pubblicato in: Bulletin of Mathematical Biology, Numero 83.6, 2021, ISSN 0092-8240
Editore: Academic Press
DOI: 10.1007/s11538-021-00900-9

A Geometric Integration Approach to Nonsmooth, Nonconvex Optimisation

Autori: Riis, Erlend S.; Ehrhardt, Matthias J.; Quispel, G. R. W.; Schönlieb, Carola-Bibiane
Pubblicato in: Foundations of Computational Mathematics, Numero 22.5, 2021, Pagina/e 1351--1394, ISSN 1615-3375
Editore: Springer Verlag
DOI: 10.1007/s10208-020-09489-2

Space-variant image reconstruction via Cauchy regularisation: Application to Optical Coherence Tomography

Autori: Achim, Alin; Calatroni, Luca; Morigi, Serena; Scrivanti, Gabriele
Pubblicato in: Signal Processing, Numero 205, 2023, Pagina/e 108866, ISSN 0165-1684
Editore: Elsevier BV
DOI: 10.1016/j.sigpro.2022.108866

FISTA is an automatic geometrically optimized algorithm for strongly convex functions

Autori: J-F Aujol, C. Dossal, and A. Rondepierre
Pubblicato in: Mathematical Programming, 2023, ISSN 0025-5610
Editore: Springer Verlag
DOI: 10.1007/s10107-023-01960-6

Mean-field optimal control for biological pattern formation

Autori: Burger, Martin; Kreusser, Lisa Maria; Totzeck, Claudia
Pubblicato in: ESAIM: Control, Optimisation and Calculus of Variations, Numero 27, 2021, Pagina/e 40, ISSN 1292-8119
Editore: EDP Sciences
DOI: 10.1051/cocv/2021034

Unsupervised clustering of Roman potsherds via Variational Autoencoders

Autori: Parisotto, Simone; Leone, Ninetta; Schönlieb, Carola-Bibiane; Launaro, Alessandro
Pubblicato in: Journal of Archaeological Science, Numero 142, 2022, Pagina/e 105598, ISSN 0305-4403
Editore: Academic Press
DOI: 10.1016/j.jas.2022.105598

A Bregman Learning Framework for Sparse Neural Networks

Autori: Bungert, Leon; Roith, Tim; Tenbrinck, Daniel; Burger, Martin
Pubblicato in: Journal of Machine Learning Research, Numero 23.192, 2022, ISSN 1533-7928
Editore: Journal of Machine Learning Research
DOI: 10.48550/arxiv.2105.04319

imaging with equivariant deep learning: from unrolled network design to fully unsupervised learning

Autori: Chen, Dongdong; Davies, Mike; Ehrhardt, Matthias J.; Schonlieb, Carola-Bibiane; Sherry, Ferdia; Tachella, Julian
Pubblicato in: IEEE Signal Processing Magazine, Numero 40.1, 2023, Pagina/e 134--147, ISSN 1053-5888
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2022.3205430

Unsupervised Image Restoration Using Partially Linear Denoisers

Autori: R Ke, CB Schönlieb
Pubblicato in: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numero 44.9, 2021, Pagina/e 5796 -- 5812, ISSN 0162-8828
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2021.3070382

On the Emergence of Whole-Body Strategies From Humanoid Robot Push-Recovery Learning

Autori: Ferigo, Diego; Camoriano, Raffaello; Viceconte, Paolo Maria; Calandriello, Daniele; Traversaro, Silvio; Rosasco, Lorenzo; Pucci, Daniele
Pubblicato in: IEEE Robotics and Automation Letters, Numero 6.4, 2021, Pagina/e 8561--8568, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2021.3076955

Convergence rates of the Heavy-Ball method with Lojasiewicz property

Autori: Aujol, J-F; Dossal, Ch; Rondepierre, Aude
Pubblicato in: Mathematical Programming, Numero 198.1, 2022, Pagina/e 195-254, ISSN 0025-5610
Editore: Springer Verlag
DOI: 10.1007/s10107-022-01770-2

A mobility-SAV approach for a Cahn-Hilliard equation with degenerate mobilities

Autori: Elie Bretin, null null, Luca Calatroni, Simon Masnou, null null, null null
Pubblicato in: Discrete and Continuous Dynamical Systems - S, Numero 17, 2024, Pagina/e 131-159, ISSN 1937-1632
Editore: American Institute of Mathematical Sciences
DOI: 10.3934/dcdss.2023177

Zeroth-order optimization with orthogonal random directions

Autori: Kozak, David; Molinari, Cesare; Rosasco, Lorenzo; Tenorio, Luis; Villa, Silvia
Pubblicato in: Mathematical Programming, Numero 199.1-2, 2022, Pagina/e 1179--1219, ISSN 0025-5610
Editore: Springer Verlag
DOI: 10.1007/s10107-022-01866-9

Anatomy-aided deep learning for medical image segmentation: a review

Autori: Liu, Lu; Wolterink, Jelmer M.; Brune, Christoph; Veldhuis, Raymond N. J.
Pubblicato in: Physics in Medicine & Biology, Numero 66.11, 2021, Pagina/e 11TR01, ISSN 1361-6560
Editore: IOP Publishing
DOI: 10.1088/1361-6560/abfbf4

DIP-VBTV: A Color Image Restoration Model Combining a Deep Image Prior and a Vector Bundle Total Variation

Autori: Thomas Batard, Gloria Haro, Coloma Ballester
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 14, 2021, Pagina/e 1816-1847, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1378697

Mumford–Shah functionals on graphs and their asymptotics

Autori: Marco Caroccia, Antonin Chambolle, Dejan Slepčev
Pubblicato in: Nonlinearity, Numero 33/8, 2020, Pagina/e 3846-3888, ISSN 0951-7715
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6544/ab81ee

Multi-Task Deep Learning for Image Segmentation Using Recursive Approximation Tasks

Autori: R. Ke, A. Bugeau, N. Papadakis, M. Kirkland, P. Schuetz and C. -B. Schönlieb
Pubblicato in: IEEE Transactions on Image Processing, Numero 30, 2021, Pagina/e 3555-3567, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2021.3062726

Continuum Limits of Nonlocal $p$-Laplacian Variational Problems on Graphs

Autori: Yosra Hafiene; Jalal M. Fadili; Abderrahim Elmoataz
Pubblicato in: SIAM Journal on Imaging Sciences, Society for Industrial and Applied Mathematics, 2019, Numero 39, 2019, Pagina/e 1772--1807, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1223927

Robust Image Reconstruction With Misaligned Structural Information

Autori: Leon Bungert, Matthias J. Ehrhardt
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 222944-222955, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3043638

Mass-conserving diffusion-based dynamics on graphs

Autori: Budd, Jeremy; van Gennip, Yves
Pubblicato in: European Journal of Applied Mathematics, Numero 33.3, 2021, Pagina/e 423--471, ISSN 0956-7925
Editore: Cambridge University Press
DOI: 10.1017/s0956792521000061

Construction and Monte Carlo estimation of wavelet frames generated by a reproducing kernel

Autori: De Vito, Ernesto; Kereta, Zeljko; Naumova, Valeriya; Rosasco, Lorenzo; Vigogna, Stefano
Pubblicato in: Journal of Fourier Analysis and Applications, Numero 27.2, 2021, ISSN 1069-5869
Editore: Birkhaeuser
DOI: 10.1007/s00041-021-09835-0

Monitoring early-successional trees for tropical forest restoration using low-cost UAV-based species classification

Autori: Jonathan Williams, Carola-Bibiane Schönlieb, Tom Swinfield, Bambang Irawan, Eva Achmad, Muhammad Zudhi, Habibi, Elva Gemita, David A. Coomes
Pubblicato in: Frontiers in Forests and Global Change, Numero 5, 2022, ISSN 2624-893X
Editore: Frontiers Media S.A.
DOI: 10.3389/ffgc.2022.876448

Variational multi-task MRI reconstruction: Joint reconstruction, registration and super-resolution

Autori: Veronica Corona, Angelica Aviles-Rivero, Noémie Debroux, Carole Le Guyader, Carola-Bibiane Schönlieb
Pubblicato in: Medical Image Analysis, Numero 68, 2021, Pagina/e 101941, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2020.101941

Duality Theory and a Primal-Dual Algorithm on Riemannian Manifolds

Autori: Ronny Bergmann, Roland Herzog, Maurício Silva Louzeiro, Daniel Tenbrinck, José Vidal-Núñez
Pubblicato in: Foundations of Computational Mathematics, 2021, ISSN 1615-3375
Editore: Springer Verlag
DOI: 10.1007/s10208-020-09486-5

Ground Truth Free Denoising by Optimal Transport

Autori: Sören Dittmer, Carola-Bibiane Schönlieb, Peter Maass
Pubblicato in: Numerical Algebra, Control and Optimization, 2020, ISSN 2155-3289
Editore: American Institute of Mathematical Sciences
DOI: 10.3934/naco.2022017

Classification and image processing with a semi-discrete scheme for fidelity forced Allen--Cahn on graphs

Autori: Jeremy Budd, Yves van Gennip, and Jonas Latz
Pubblicato in: GAMM-Mitteilungen, Numero 44.1, 2021, ISSN 1522-2608
Editore: Wiley-VCH
DOI: 10.1002/gamm.202100004

Adaptive Anisotropic Total Variation: Analysis and Experimental Findings of Nonlinear Spectral Properties

Autori: Shai Biton, Guy Gilboa
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 64, 2022, Pagina/e 916-938, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-022-01097-9

GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays

Autori: A. I Aviles-Rivero, P. Sellars, C.B. Schönlieb , N. Papadakis
Pubblicato in: Pattern Recognition, Numero 122, 2022, Pagina/e 108274, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2021.108274

Fluorescence image deconvolution microscopy via generative adversarial learning (FluoGAN)

Autori: Mayeul Cachia; Vasiliki Stergiopoulou; Luca Calatroni; Sebastien Schaub; Laure Blanc-Féraud
Pubblicato in: Inverse Problems, Numero 39.5, 2023, Pagina/e 054006, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/acc889

Graph MBO on Star Graphs and Regular Trees. With Corrections to DOI 10.1007/s00032-014-0216-8

Autori: Yves van Gennip
Pubblicato in: Milan Journal of Mathematics, Numero 87/1, 2019, Pagina/e 141-168, ISSN 1424-9286
Editore: Birkhauser Verlag
DOI: 10.1007/s00032-019-00296-1

An Analysis and Speedup of the FALDOI Method for Optical Flow Estimation

Autori: Ferran P. Gamonal, Coloma Ballester, Gloria Haro, Enric Meinhardt-Llopis, Roberto P. Palomares
Pubblicato in: Image Processing On Line, Numero 9, 2019, Pagina/e 94-123, ISSN 2105-1232
Editore: IPOL & the authors
DOI: 10.5201/ipol.2019.238

Anisotropic osmosis filtering for shadow removal in images

Autori: Simone Parisotto, Luca Calatroni, Marco Caliari, Carola-Bibiane Schönlieb, Joachim Weickert
Pubblicato in: Inverse Problems, Numero 35/5, 2019, Pagina/e 054001, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab08d2

Unveiling the invisible: mathematical methods for restoring and interpreting illuminated manuscripts

Autori: Luca Calatroni, Marie d’Autume, Rob Hocking, Stella Panayotova, Simone Parisotto, Paola Ricciardi, Carola-Bibiane Schönlieb
Pubblicato in: Heritage Science, Numero 6/1, 2018, ISSN 2050-7445
Editore: BioMed Central Ltd
DOI: 10.1186/s40494-018-0216-z

Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals

Autori: Jean-Franois Aujol, Guy Gilboa, Nicolas Papadakis
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 11/2, 2018, Pagina/e 1416-1440, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1139126

Rayleigh quotient minimization for absolutely one-homogeneous functionals

Autori: Tal Feld, Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
Pubblicato in: Inverse Problems, Numero 35/6, 2019, Pagina/e 064003, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab0cb2

An Affine Invariant Patch Similarity

Autori: Vadim Fedorov, Coloma Ballester
Pubblicato in: Image Processing On Line, Numero 8, 2018, Pagina/e 490-513, ISSN 2105-1232
Editore: IPOL & the authors
DOI: 10.5201/ipol.2018.202

Automatic Flare Spot Artifact Detection and Removal in Photographs

Autori: Patricia Vitoria, Coloma Ballester
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 61/4, 2019, Pagina/e 515-533, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-018-0859-0

Thresholding gradient methods in Hilbert spaces: support identification and linear convergence

Autori: Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Pubblicato in: ESAIM: Control, Optimisation and Calculus of Variations, 2019, ISSN 1292-8119
Editore: EDP Sciences
DOI: 10.1051/cocv/2019011

Solution paths of variational regularization methods for inverse problems

Autori: Leon Bungert, Martin Burger
Pubblicato in: Inverse Problems, Numero 35/10, 2019, Pagina/e 105012, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab1d71

An entropic Landweber method for linear ill-posed problems

Autori: M Burger, E Resmerita, M Benning
Pubblicato in: Inverse Problems, Numero 36/1, 2020, Pagina/e 015009, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab5c49

Asymptotic profiles of nonlinear homogeneous evolution equations of gradient flow type

Autori: Leon Bungert, Martin Burger
Pubblicato in: Journal of Evolution Equations, 2019, ISSN 1424-3199
Editore: Birkhauser Verlag
DOI: 10.1007/s00028-019-00545-1

Nonlocal $p$-Laplacian Evolution Problems on Graphs

Autori: Yosra Hafiene, Jalal Fadili, Abderrahim Elmoataz
Pubblicato in: SIAM Journal on Numerical Analysis, Numero 56/2, 2018, Pagina/e 1064-1090, ISSN 0036-1429
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/17m1123596

Continuum limit of the nonlocal p -Laplacian evolution problem on random inhomogeneous graphs

Autori: Yosra Hafiene, Jalal M. Fadili, Christophe Chesneau, Abderrahim Elmoataz
Pubblicato in: ESAIM: Mathematical Modelling and Numerical Analysis, Numero 54/2, 2020, Pagina/e 565-589, ISSN 0764-583X
Editore: EDP Sciences
DOI: 10.1051/m2an/2019066

Partial differential equations and variational methods for geometric processing of images

Autori: Blanche Buet, Jean-Marie Mirebeau, Yves van Gennip, François Desquilbet, Johann Dreo, Frédéric Barbaresco, Gian Paolo Leonardi, Simon Masnou, Carola-Bibiane Schönlieb
Pubblicato in: The SMAI journal of computational mathematics, Numero S5, 2019, Pagina/e 109-128, ISSN 2426-8399
Editore: Centre Mersenne
DOI: 10.5802/smai-jcm.55

A computational model for grid maps in neural populations

Autori: Fabio Anselmi, Micah M. Murray, Benedetta Franceschiello
Pubblicato in: Journal of Computational Neuroscience, 2020, ISSN 0929-5313
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10827-020-00742-9

Bregman Itoh–Abe Methods for Sparse Optimisation

Autori: Martin Benning, Erlend Skaldehaug Riis, Carola-Bibiane Schönlieb
Pubblicato in: Journal of Mathematical Imaging and Vision, 2020, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-020-00944-x

Superpixel Contracted Graph-Based Learning for Hyperspectral Image Classification

Autori: Philip Sellars, Angelica I. Aviles-Rivero, Carola-Bibiane Schonlieb
Pubblicato in: IEEE Transactions on Geoscience and Remote Sensing, 2020, Pagina/e 1-14, ISSN 0196-2892
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2019.2961599

A Variational Model Dedicated to Joint Segmentation, Registration, and Atlas Generation for Shape Analysis

Autori: Noémie Debroux, John Aston, Fabien Bonardi, Alistair Forbes, Carole Le Guyader, Marina Romanchikova, Carola-Bibiane Schönlieb
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 13/1, 2020, Pagina/e 351-380, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1271907

TOMOGRAPHIC RECONSTRUCTION WITH SPATIALLY VARYING PARAMETER SELECTION

Autori: Yiqiu Dong, Carola-Bibiane Schönlieb
Pubblicato in: Inverse Problems, 2020, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab72d4

A multi‐contrast MRI approach to thalamus segmentation

Autori: Veronica Corona, Jan Lellmann, Peter Nestor, Carola‐Bibiane Schönlieb, Julio Acosta‐Cabronero
Pubblicato in: Human Brain Mapping, 2020, ISSN 1065-9471
Editore: John Wiley & Sons Inc.
DOI: 10.1002/hbm.24933

Stability Analysis of Line Patterns of an Anisotropic Interaction Model

Autori: José A. Carrillo, Bertram Düring, Lisa Maria Kreusser, Carola-Bibiane Schönlieb
Pubblicato in: SIAM Journal on Applied Dynamical Systems, Numero 18/4, 2019, Pagina/e 1798-1845, ISSN 1536-0040
Editore: Society of Industrial and Applied Mathematics
DOI: 10.1137/18m1181638

3D Segmentation of Trees Through a Flexible Multiclass Graph Cut Algorithm

Autori: Jonathan Williams, Carola-Bibiane Schonlieb, Tom Swinfield, Juheon Lee, Xiaohao Cai, Lan Qie, David A. Coomes
Pubblicato in: IEEE Transactions on Geoscience and Remote Sensing, Numero 58/2, 2020, Pagina/e 754-776, ISSN 0196-2892
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tgrs.2019.2940146

Faster PET reconstruction with non-smooth priors by randomization and preconditioning

Autori: Matthias J Ehrhardt, Pawel Markiewicz, Carola-Bibiane Schönlieb
Pubblicato in: Physics in Medicine & Biology, Numero 64/22, 2019, Pagina/e 225019, ISSN 1361-6560
Editore: IOP Publishing Ltd
DOI: 10.1088/1361-6560/ab3d07

Solving inverse problems using data-driven models

Autori: Simon Arridge, Peter Maass, Ozan Öktem, Carola-Bibiane Schönlieb
Pubblicato in: Acta Numerica, Numero 28, 2019, Pagina/e 1-174, ISSN 0962-4929
Editore: Cambridge University Press
DOI: 10.1017/s0962492919000059

Linkage Between Piecewise Constant Mumford--Shah Model and Rudin--Osher--Fatemi Model and Its Virtue in Image Segmentation

Autori: Xiaohao Cai, Raymond Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng
Pubblicato in: SIAM Journal on Scientific Computing, Numero 41/6, 2019, Pagina/e B1310-B1340, ISSN 1064-8275
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1202980

Enhancing joint reconstruction and segmentation with non-convex Bregman iteration

Autori: Veronica Corona, Martin Benning, Matthias J Ehrhardt, Lynn F Gladden, Richard Mair, Andi Reci, Andrew J Sederman, Stefanie Reichelt, Carola-Bibiane Schönlieb
Pubblicato in: Inverse Problems, Numero 35/5, 2019, Pagina/e 055001, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab0b77

Directional sinogram inpainting for limited angle tomography

Autori: Robert Tovey, Martin Benning, Christoph Brune, Marinus J Lagerwerf, Sean M Collins, Rowan K Leary, Paul A Midgley, Carola-Bibiane Schönlieb
Pubblicato in: Inverse Problems, Numero 35/2, 2019, Pagina/e 024004, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/aaf2fe

Template-Based Image Reconstruction from Sparse Tomographic Data

Autori: Lukas F. Lang, Sebastian Neumayer, Ozan Öktem, Carola-Bibiane Schönlieb
Pubblicato in: Applied Mathematics & Optimization, 2019, ISSN 0095-4616
Editore: Springer Verlag
DOI: 10.1007/s00245-019-09573-2

An MBO scheme for clustering and semi-supervised clustering of signed networks

Autori: Mihai Cucuringu, Andrea Pizzoferrato, Yves van Gennip
Pubblicato in: Communications in Mathematical Sciences, Numero 19450796, 2021, Pagina/e 73 – 109, ISSN 1945-0796
Editore: International Press
DOI: 10.4310/cms.2021.v19.n1.a4

A Max-Cut approximation using a graph based MBO scheme

Autori: Blaine Keetch, Yves van Gennip
Pubblicato in: Discrete & Continuous Dynamical Systems - B, Numero 24/11, 2019, Pagina/e 6091-6139, ISSN 1553-524X
Editore: American Institute of Mathematical Sciences
DOI: 10.3934/dcdsb.2019132

Optical flow analysis reveals that Kinesin-mediated advection impacts the orientation of microtubules in the Drosophila oocyte

Autori: Maik Drechsler, Lukas F. Lang, Layla Al-Khatib, Hendrik Dirks, Martin Burger, Carola-Bibiane Schönlieb, Isabel M. Palacios
Pubblicato in: Molecular Biology of the Cell, Numero 31/12, 2020, Pagina/e 1246-1258, ISSN 1059-1524
Editore: American Society for Cell Biology
DOI: 10.1091/mbc.e19-08-0440

Analysis and automatic parameter selection of a variational model for mixed Gaussian and salt-and-pepper noise removal

Autori: Luca Calatroni, Kostas Papafitsoros
Pubblicato in: Inverse Problems, Numero 35/11, 2019, Pagina/e 114001, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ab291a

Approximation of the second eigenvalue of the $p$-Laplace operator in symmetric domains

Autori: Bozorgnia, Farid
Pubblicato in: Journal of Computational and Applied Mathematics, Numero 434, 2023, Pagina/e 115349, ISSN 0377-0427
Editore: Elsevier BV
DOI: 10.1016/j.cam.2023.115349

A Deterministic Approach to Avoid Saddle Points

Autori: Lisa Maria Kreusser, Stanley J. Osher, Bao Wang
Pubblicato in: European Journal of Applied Mathematics, Numero 34.4, 2023, Pagina/e 738-757, ISSN 0956-7925
Editore: Cambridge University Press
DOI: 10.1017/s0956792522000316

Nonlinear Spectral Decompositions by Gradient Flows of One-Homogeneous Functionals

Autori: Bungert, Leon; Burger, Martin; Chambolle, Antonin; Novaga, Matteo
Pubblicato in: Analysis & PDE, Numero 14.3, 2021, Pagina/e 823--860, ISSN 2157-5045
Editore: Mathematical Sciences Publishers
DOI: 10.2140/apde.2021.14.823

Convergence of Stochastic Proximal Gradient Algorithm

Autori: Lorenzo Rosasco, Silvia Villa, Bằng Công Vũ
Pubblicato in: Applied Mathematics & Optimization, 2019, ISSN 0095-4616
Editore: Springer Verlag
DOI: 10.1007/s00245-019-09617-7

Large data and zero noise limits of graph-based semi-supervised learning algorithms

Autori: Matthew M. Dunlop, Dejan Slepčev, Andrew M. Stuart, Matthew Thorpe
Pubblicato in: Applied and Computational Harmonic Analysis, 2019, ISSN 1063-5203
Editore: Academic Press
DOI: 10.1016/j.acha.2019.03.005

Equilibria of an anisotropic nonlocal interaction equation: Analysis and numerics

Autori: José A. Carrillo, Bertram Düring, Lisa Maria Kreusser, Carola-Bibiane Schönlieb
Pubblicato in: Discrete and Continuous Dynamical Systems, Numero 41.8, 2021, Pagina/e 3985-4012, ISSN 1078-0947
Editore: Dept. of Mathematics, Southwest Missouri State University
DOI: 10.3934/dcds.2021025

Detection of high codimensional bifurcations in variational PDEs

Autori: L M Kreusser, R I McLachlan, C Offen
Pubblicato in: Nonlinearity, Numero 33/5, 2020, Pagina/e 2335-2363, ISSN 0951-7715
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6544/ab7293

Accelerated iterative regularization via dual diagonal descent

Autori: Luca Calatroni, Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Pubblicato in: SIAM Journal on Optimization, Numero 31.1, 2021, Pagina/e 754-784, ISSN 1052-6234
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1308888

On-line object detection: a robotics challenge

Autori: Elisa Maiettini, Giulia Pasquale, Lorenzo Rosasco, Lorenzo Natale
Pubblicato in: Autonomous Robots, 2019, ISSN 0929-5593
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10514-019-09894-9

Parallel Random Block-Coordinate Forward-Backward Algorithm: A Unified Convergence Analysis

Autori: Salzo, Saverio; Villa, Silvia
Pubblicato in: Mathematical Programming, Numero 193, 2022, Pagina/e 225-269, ISSN 0025-5610
Editore: Springer Verlag
DOI: 10.1007/s10107-020-01602-1

Multi-Scale Vector Quantization with Reconstruction Trees

Autori: Enrico Cecini, Ernesto De Vito, Lorenzo Rosasco
Pubblicato in: Information and Inference: A Journal of the IMA, Numero 10.3, 2019, Pagina/e 955-986, ISSN 2049-8772
Editore: Oxford University Press
DOI: 10.1093/imaiai/iaaa004

Reproducing kernel Hilbert spaces on manifolds: Sobolev and Diffusion spaces

Autori: Ernesto De Vito, Nicole Mücke, Lorenzo Rosasco
Pubblicato in: Analysis and Applications, Numero 19.3, 2019, Pagina/e 363--396, ISSN 0219-5305
Editore: World Scientific
DOI: 10.1142/s0219530520400114

Accelerating variance-reduced stochastic gradient methods

Autori: Derek Driggs, Matthias J. Ehrhardt, Carola-Bibiane Schönlieb
Pubblicato in: Mathematical Programming, 2020, ISSN 0025-5610
Editore: Springer Verlag
DOI: 10.1007/s10107-020-01566-2

Learning the Sampling Pattern for MRI

Autori: Ferdia Sherry, Martin Benning, Juan Carlos De los Reyes, Martin J. Graves, Georg Maierhofer, Guy Williams, Carola-Bibiane Schönlieb, Matthias J. Ehrhardt
Pubblicato in: IEEE Transactions on Medical Imaging, Numero 39.12, 2020, Pagina/e 4310 - 4321, ISSN 0278-0062
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2020.3017353

Deep learning as optimal control problems: Models and numerical methods

Autori: Martin Benning, Elena Celledoni, Matthias J. Ehrhardt, Brynjulf Owren, Carola-Bibiane Schönlieb
Pubblicato in: Journal of Computational Dynamics, Numero 6/2, 2019, Pagina/e 171-198, ISSN 2158-2505
Editore: American Institute of Mathematical Sciences
DOI: 10.3934/jcd.2019009

Weak and approximate curvatures of a measure: a varifold perspective

Autori: Buet, Blanche; Leonardi, Gian Paolo; Masnou, Simon
Pubblicato in: Nonlinear Analysis, Numero 222, 2022, Pagina/e 112983, ISSN 0362-546X
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.na.2022.112983

Higher-Order Total Directional Variation: Analysis

Autori: Simone Parisotto, Simon Masnou, Carola-Bibiane Schönlieb
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 13/1, 2020, Pagina/e 474-496, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1239210

Compressed Sensing Plus Motion (CS+M): A New Perspective for Improving Undersampled MR Image Reconstruction

Autori: Angelica I. Aviles-Rivero, Noémie Debroux, Guy Williams, Martin J. Graves, Carola-Bibiane Schonlieb
Pubblicato in: Medical Image Analysis, Numero 68, 2021, Pagina/e 101933, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2020.101933

Learned SVD: solving inverse problems via hybrid autoencoding

Autori: Yoeri E. Boink, Christoph Brune
Pubblicato in: SIAM Journal on Imaging Sciences (SIIMS), 2019, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics

Deep learning of circulating tumour cells

Autori: Leonie L. Zeune, Yoeri E. Boink, Guus van Dalum, Afroditi Nanou, Sanne de Wit, Kiki C. Andree, Joost F. Swennenhuis, Stephan A. van Gils, Leon W.M.M. Terstappen, Christoph Brune
Pubblicato in: Nature Machine Intelligence, Numero 2/2, 2020, Pagina/e 124-133, ISSN 2522-5839
Editore: Springer Nature Limited
DOI: 10.1038/s42256-020-0153-x

On a class of singularly perturbed elliptic systems with asymptotic phase segregation

Autori: Bozorgnia, Farid; Burger, Martin; Fotouhi, Morteza
Pubblicato in: Discrete and Continuous Dynamical Systems, Numero 42.7, 2022, Pagina/e 3539, ISSN 1078-0947
Editore: Dept. of Mathematics, Southwest Missouri State University
DOI: 10.3934/dcds.2022023

TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems

Autori: K Wei, A Aviles-Rivero, J Liang, Y Fu, H Huang, CB Schönlieb
Pubblicato in: Journal of Machine Learning Research, Numero 23.16, 2022, Pagina/e 1-48, ISSN 1533-7928
Editore: Journal of Machine Learning Research

Approximation of multiphase mean curvature flows with arbitrary nonnegative mobilities

Autori: Bonnetier, Eric; Bretin, Elie; Masnou, Simon
Pubblicato in: Mathematical Methods in the Applied Sciences, Numero 46.9, 2023, Pagina/e 11262--11282, ISSN 0170-4214
Editore: John Wiley & Sons Inc.
DOI: 10.1002/mma.9180

Using migrating cells as probes to illuminate features in live embryonic tissues

Autori: Sargon Gross-Thebing, Lukasz Truszkowski, Daniel Tenbrinck, Héctor Sánchez-Iranzo, Carolina Camelo, Kim J. Westerich, Amrita Singh, Paul Maier, Jonas Prengel, Pia Lange, Jan Hüwel, Fjedor Gaede, Ramona Sasse, Bart E. Vos, Timo Betz, Maja Matis, Robert Prevedel, Stefan Luschnig, Alba Diz-Muñoz, Martin Burger, Erez Raz
Pubblicato in: Science Advances, Numero 6/49, 2020, Pagina/e eabc5546, ISSN 2375-2548
Editore: American Association for the Advancement of Science
DOI: 10.1126/sciadv.abc5546

Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks

Autori: Bungert, Leon; Hait-Fraenkel, Ester; Papadakis, Nicolas; Gilboa, Guy
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 14.3, 2021, Pagina/e 1114--1148, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/20m1384154

Polarized consensus-based dynamics for optimization and sampling

Autori: Leon Bungert, Tim Roith, Philipp Wacker
Pubblicato in: Mathematical Programming, 2024, ISSN 0025-5610
Editore: Springer Verlag
DOI: 10.1007/s10107-024-02095-y

Image Reconstruction in Light-Sheet Microscopy: Spatially Varying Deconvolution and Mixed Noise

Autori: Toader, Bogdan; Boulanger, J{\'{e}}r{\^{o}}me; Korolev, Yury; Lenz, Martin O.; Manton, James; Schönlieb, Carola-Bibiane; Mure{\c{s}}an, Leila
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 64.9, 2022, Pagina/e 968-992, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-022-01100-3

Variational Osmosis for Non-Linear Image Fusion

Autori: Simone Parisotto, Luca Calatroni, Aurelie Bugeau, Nicolas Papadakis, Carola-Bibiane Schonlieb
Pubblicato in: IEEE Transactions on Image Processing, Numero 29, 2020, Pagina/e 5507-5516, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2020.2983537

Block-Based Refitting in $$\ell _{12}$$ Sparse Regularization

Autori: Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
Pubblicato in: Journal of Mathematical Imaging and Vision, Numero 63/2, 2021, Pagina/e 216-236, ISSN 0924-9907
Editore: Kluwer Academic Publishers
DOI: 10.1007/s10851-020-00993-2

Fast approximation of orthogonal matrices and application to PCA

Autori: Cristian Rusu, Lorenzo Rosasco
Pubblicato in: Signal Processing, Numero 194, 2023, Pagina/e 108451, ISSN 0165-1684
Editore: Elsevier BV
DOI: 10.1016/j.sigpro.2021.108451

Structure preserving deep learning

Autori: Elena Celledoni, Matthias J. Ehrhardt, Christian Etmann, Robert I McLachlan, Brynjulf Owren, Carola-Bibiane Schönlieb, Ferdia Sherry
Pubblicato in: European Journal of Applied Mathematics, Numero 32.5, 2021, Pagina/e 888--936, ISSN 0956-7925
Editore: Cambridge University Press
DOI: 10.1017/s0956792521000139

The Linearized Hellinger--Kantorovich Distance

Autori: Tianji Cai; Junyi Cheng; Bernhard Schmitzer; Matthew Thorpe
Pubblicato in: SIAM Journal on Imaging Sciences, Numero 15, 2022, Pagina/e 45-83, ISSN 1936-4954
Editore: Society for Industrial and Applied Mathematics
DOI: 10.1137/21m1400080

Learning Optical Flow for Fast MRI Reconstruction

Autori: T Schmoderer, AI Aviles-Rivero, V Corona, N Debroux, CB Schönlieb
Pubblicato in: Inverse Problems, Numero 37.9, 2021, Pagina/e 95007, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ac164a

Scanning electron diffraction tomography of strain

Autori: Robert Tovey, Duncan N Johnstone, Sean M Collins, William R B Lionheart, Paul A Midgley, Martin Benning, Carola-Bibiane Schönlieb
Pubblicato in: Inverse Problems, Numero 37/1, 2021, Pagina/e 015003, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/abc961

A multiphase Cahn--Hilliard system with mobilities and the numerical simulation of dewetting

Autori: Bretin, Elie; Denis, Roland; Masnou, Simon; Sengers, Arnaud; Terii, Garry
Pubblicato in: ESAIM: Mathematical Modelling and Numerical Analysis, Numero 57.3, 2023, Pagina/e 1473--1509, ISSN 0764-583X
Editore: EDP Sciences
DOI: 10.1051/m2an/2023023

Equivariant neural networks for inverse problems

Autori: Celledoni, Elena; Ehrhardt, Matthias J.; Etmann, Christian; Owren, Brynjulf; Schönlieb, Carola-Bibiane; Sherry, Ferdia
Pubblicato in: Inverse Problems, Numero 37.8, 2021, Pagina/e 85006, ISSN 0266-5611
Editore: Institute of Physics Publishing
DOI: 10.1088/1361-6420/ac104f

Spectral decomposition of atomic structures in heterogeneous cryo-EM

Autori: Esteve-Yagüe, Carlos; Diepeveen, Willem; Öktem, Ozan; Schönlieb, Carola-Bibiane
Pubblicato in: Inverse Problems, Numero 39.3, 2023, Pagina/e 34003, ISSN 1361-6420
Editore: IOP Publishing
DOI: 10.1088/1361-6420/acb2ba

Common Pitfalls and Recommendations for Using Machine Learning to Detect and Prognosticate for COVID-19 Using Chest Radiographs and CT Scans

Autori: Michael Roberts, Derek Driggs, Matthew Thorpe, Julian Gilbey, Michael Yeung, Stephan Ursprung, Angelica I. Avilés-Rivero, Christian Etmann, Cathal McCague, Lucian Beer, Jonathan R. Weir-McCall, Zhongzhao Teng, James H. F. Rudd, Evis Sala, Carola-Bibiane Schönlieb
Pubblicato in: Nature Machine Intelligence, Numero 3.3, 2021, Pagina/e 199--217, ISSN 2522-5839
Editore: Nature Research
DOI: 10.1038/s42256-021-00307-0

ADHERENT: Learning Human-like Trajectory Generators for Whole-body Control of Humanoid Robots

Autori: Viceconte, Paolo Maria; Camoriano, Raffaello; Romualdi, Giulio; Ferigo, Diego; Dafarra, Stefano; Traversaro, Silvio; Oriolo, Giuseppe; Rosasco, Lorenzo; Pucci, Daniele
Pubblicato in: IEEE Robotics and Automation Letters, Numero 7.2, 2022, Pagina/e 2779--2786, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2022.3141658

Error estimates for finite differences approximations of the total variation

Autori: Corentin Caillaud, Antonin Chambolle
Pubblicato in: IMA Journal of Numerical Analysis, Numero 43, 2023, Pagina/e 692-736, ISSN 0272-4979
Editore: Oxford University Press
DOI: 10.1093/imanum/drac001

Kinetic Equations for Processes on Co-evolving Networks

Autori: Martin Burger
Pubblicato in: Kinetic and Related Models, Numero 15.2, 2022, Pagina/e 187, ISSN 1937-5093
Editore: American Institute of Mathematical Sciences
DOI: 10.48550/arxiv.2104.13815

Conditioned Source Separation for Musical Instrument Performances

Autori: Slizovskaia, Olga; Haro, Gloria; Gomez, Emilia
Pubblicato in: IEEE/ACM Transactions on Audio, Speech, and Language Processing, Numero 29, 2021, Pagina/e 2083--2095, ISSN 2329-9290
Editore: IEEE Advancing Technology for Humanity
DOI: 10.1109/taslp.2021.3082331

Dynamic spectral residual superpixels

Autori: Jianchao Zhang, Angelica I. Aviles-Rivero, Daniel Heydecker, Xiaosheng Zhuang, Raymond Chan, Carola-Bibiane Schönlieb
Pubblicato in: Pattern Recognition, Numero 112, 2021, Pagina/e 107705, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2020.107705

Exploiting prior knowledge about biological macromolecules in cryo-EM structure determination

Autori: Dari Kimanius, Gustav Zickert, Takanori Nakane, Jonas Adler, Sebastian Lunz, Carola-Bibiane Schönlieb, Ozan Öktem, Sjors H. W. Scheres
Pubblicato in: IUCrJ, Numero 8/1, 2021, Pagina/e 60-75, ISSN 2052-2525
Editore: International Union of Crystallography (IUCr)
DOI: 10.1107/s2052252520014384

Implicit regularization with strongly convex bias: Stability and acceleration

Autori: Villa, Silvia; Matet, Simon; Vu, Bang Cong; Rosasco, Lorenzo
Pubblicato in: Analysis and Applications, Numero 21.1, 2022, Pagina/e 165-191, ISSN 0219-5305
Editore: World Scientific
DOI: 10.1142/s0219530522400139

Eigenvalue Problems in L∞: Optimality Conditions, Duality, and Relations with Optimal Transport

Autori: Leon Bungert, Yury Korolev
Pubblicato in: Communications of the American Mathematical Society, Numero 2.8, 2022, Pagina/e 345--373, ISSN 2692-3688
Editore: American Mathematical Society
DOI: 10.1090/cams/11

Decay estimates for solutions of evolutionary damped p-laplace equations

Autori: Bozorgnia, F.; Peter Lewintan
Pubblicato in: Electronic Journal of Differential Equations, Vol 2021, Iss 73,, Pp 1-9 (2021), Numero 2021.73, 2021, Pagina/e 1-9, ISSN 1072-6691
Editore: Texas State University - San Marcos
DOI: 10.58997/ejde.2021.73

Discrete p-bilaplacian Operators on Graphs

Autori: Imad El Bouchairi, Abderrahim El Moataz, Jalal Fadili
Pubblicato in: Lecture Notes in Computer Science, Image and Signal Processing, 2024, Pagina/e 339-347
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-51935-3_36

Learning to Segment Microscopy Images with Lazy Labels

Autori: Rihuan Ke, Aurélie Bugeau, Nicolas Papadakis, Peter Schuetz, Carola-Bibiane Schönlieb
Pubblicato in: Computer Vision – ECCV 2020 Workshops - Glasgow, UK, August 23–28, 2020, Proceedings, Part I, Numero 12535, 2020, Pagina/e 411-428, ISBN 978-3-030-66414-5
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-66415-2_27

An Analysis of Generative Methods for Multiple-Image Inpainting

Autori: Ballester, Coloma; Bugeau, Aurélie; Hurault, Samuel; Parisotto, Simone; Vitoria, Patricia
Pubblicato in: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2022
Editore: Springer
DOI: 10.1007/978-3-030-03009-4_119-1

Analysis of Different Losses for Deep Learning Image Colorization

Autori: Ballester, Coloma; Carrillo, Hernan; Clément, Michaël; Vitoria, Patricia
Pubblicato in: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2023, Pagina/e 821--846
Editore: Springer
DOI: 10.1007/978-3-030-98661-2_127

Iterative Methods for Computing Eigenvectors of Nonlinear Operators

Autori: Gilboa, Guy
Pubblicato in: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2021, Pagina/e 1-28, ISBN 978-3-030-03009-4
Editore: Springer
DOI: 10.1007/978-3-030-03009-4_89-1

VoViT: Low Latency Graph-based Audio-Visual Voice Separation Transformer

Autori: Montesinos, Juan F.; Kadandale, Venkatesh S.; Haro, Gloria
Pubblicato in: Lecture Notes in Computer Science, 2022
Editore: Springer International Publishing
DOI: 10.1007/978-3-031-19836-6_18

Computing Nonlinear Eigenfunctions via Gradient Flow Extinction

Autori: Leon Bungert, Martin Burger, Daniel Tenbrinck
Pubblicato in: Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings, Numero 11603, 2019, Pagina/e 291-302, ISBN 978-3-030-22367-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-22368-7_23

A Total Variation Based Regularizer Promoting Piecewise-Lipschitz Reconstructions

Autori: Martin Burger, Yury Korolev, Carola-Bibiane Schönlieb, Christiane Stollenwerk
Pubblicato in: Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings, Numero 11603, 2019, Pagina/e 485-497, ISBN 978-3-030-22367-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-22368-7_38

GraphX $$^\mathbf{\small NET } -$$ N E T - Chest X-Ray Classification Under Extreme Minimal Supervision

Autori: Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Philip Sellars, Qingnan Fan, Robby T. Tan, Carola-Bibiane Schönlieb
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Shenzhen, China, October 13–17, 2019, Proceedings, Part VI, Numero 11769, 2019, Pagina/e 504-512, ISBN 978-3-030-32225-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-32226-7_56

Total Directional Variation for Video Denoising

Autori: Simone Parisotto, Carola-Bibiane Schönlieb
Pubblicato in: Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings, Numero 11603, 2019, Pagina/e 522-534, ISBN 978-3-030-22367-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-22368-7_41

Refitting Solutions Promoted by $$\ell _{12}$$ Sparse Analysis Regularizations with Block Penalties

Autori: Charles-Alban Deledalle, Nicolas Papadakis, Joseph Salmon, Samuel Vaiter
Pubblicato in: Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings, Numero 11603, 2019, Pagina/e 131-143, ISBN 978-3-030-22367-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-22368-7_11

Semantic Image Completion Through an Adversarial Strategy

Autori: Patricia Vitoria, Joan Sintes, Coloma Ballester
Pubblicato in: Computer Vision, Imaging and Computer Graphics Theory and Applications - 14th International Joint Conference, VISIGRAPP 2019, Prague, Czech Republic, February 25–27, 2019, Revised Selected Papers, Numero 1182, 2020, Pagina/e 520-542, ISBN 978-3-030-41589-1
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-41590-7_22

Genuine Personality Recognition from Highly Constrained Face Images

Autori: Fabio Anselmi, Nicoletta Noceti, Lorenzo Rosasco, Robert Ward
Pubblicato in: Image Analysis and Processing – ICIAP 2019 - 20th International Conference, Trento, Italy, September 9–13, 2019, Proceedings, Part I, Numero 11751, 2019, Pagina/e 421-431, ISBN 978-3-030-30641-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-30642-7_38

Joint phase reconstruction and magnitude segmentation from velocity-encoded MRI data

Autori: Veronica Corona, Martin Benning, Lynn F. Gladden, Andi Reci, Andrew J. Sederman, Carola-Bibiane Schoenlieb
Pubblicato in: Time-dependent Problems in Imaging and Parameter Identification, 2021, ISBN 978-3-030-57783-4
Editore: Springer
DOI: 10.1007/978-3-030-57784-1_1

Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis

Autori: Ido Cohen, Adi Falik, Guy Gilboa
Pubblicato in: Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Hofgeismar, Germany, June 30 – July 4, 2019, Proceedings, Numero 11603, 2019, Pagina/e 315-327, ISBN 978-3-030-22367-0
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-22368-7_25

Influence of Color Spaces for Deep Learning Image Colorization

Autori: Bugeau, Aurélie; Giraud, Rémi; Raad, Lara
Pubblicato in: Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, 2023, Pagina/e 847--878
Editore: Springer
DOI: 10.1007/978-3-030-98661-2_125

Active Crowds

Autori: Bruna, M.; Burger, M.; Pietschmann, J. F.; Wolfram, M. T.
Pubblicato in: Active Particles, Volume 3. Modeling and Simulation in Science, Engineering and Technology, 2022, Pagina/e 35--73, ISBN 978-3-030-93301-2
Editore: Birkhäuser
DOI: 10.1007/978-3-030-93302-9_2

Rates of Convergence for Regression with the Graph Poly-Laplacian

Autori: Nicolás García Trillos, Ryan Murray, Matthew Thorpe
Pubblicato in: arxiv, 2022
Editore: arxiv
DOI: 10.48550/arxiv.2209.02305

A non-convex variational model for joint polyenergetic CT reconstruction, sensor denoising and material decomposition

Autori: Papanikos, Georgios; Wirth, Benedikt
Pubblicato in: arxiv, 2022
Editore: arXiv
DOI: 10.48550/arxiv.2206.02908

Learning normal form autoencoders for data-driven discovery of universal,parameter-dependent governing equations

Autori: Kalia, Manu; Brunton, Steven L.; Meijer, Hil G. E.; Brune, Christoph; Kutz, J. Nathan
Pubblicato in: arXiv, 2021
Editore: arXiv
DOI: 10.48550/arxiv.2106.05102

Covariance-modulated optimal transport and gradient flows

Autori: Burger, Martin; Erbar, Matthias; Hoffmann, Franca; Matthes, Daniel; Schlichting, André
Pubblicato in: arxiv, 2023
Editore: arxiv
DOI: 10.48550/arxiv.2302.07773

A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch

Autori: Ceola, Federico; Maiettini, Elisa; Rosasco, Lorenzo; Natale, Lorenzo
Pubblicato in: arxiv, 2023
Editore: arxiv
DOI: 10.48550/arxiv.2306.03484

Parameter-Free FISTA by Adaptive Restart and Backtracking

Autori: Aujol, Jean-François; Calatroni, Luca; Dossal, Charles; Labarrière, Hippolyte; Rondepierre, Aude
Pubblicato in: arxiv, 2023
Editore: arxiv
DOI: 10.48550/arxiv.2307.14323

Unsupervised clustering of Roman pottery profiles from their SSAE representation

Autori: S Parisotto, A Launaro, N Leone, CB Schönlieb
Pubblicato in: arxiv, 2020
Editore: arxiv

Regularized Compression of MRI Data: Modular Optimization of Joint Reconstruction and Coding

Autori: Corona, Veronica; Dar, Yehuda; Williams, Guy; Schönlieb, Carola-Bibiane
Pubblicato in: arXiv, Numero 1, 2020
Editore: arXiv
DOI: 10.48550/arxiv.2010.04065

A Linear Transportation Lp Distance for Pattern Recognition

Autori: Crook, Oliver M.; Cucuringu, Mihai; Hurst, Tim; Schönlieb, Carola-Bibiane; Thorpe, Matthew; Zygalakis, Konstantinos C.
Pubblicato in: arXiv, 2020
Editore: arXiv
DOI: 10.48550/arxiv.2009.11262

Learning Football Body-Orientation as a Matter of Classification

Autori: Arbués-Sangüesa, Adrià; Martín, Adrián; Granero, Paulino; Ballester, Coloma; Haro, Gloria
Pubblicato in: arxiv, 2021
Editore: arxiv
DOI: 10.48550/arxiv.2106.00359

Generalised Gillespie Algorithms for Simulations in a Rule-Based Epidemiological Model Framework

Autori: Alonso, David; Bauer, Steffen; Kirkilionis, Markus; Kreusser, Lisa Maria; Sbano, Luca
Pubblicato in: arXiv, Numero 1, 2022
Editore: arXiv
DOI: 10.48550/arxiv.2210.09511

Graph Based Semi-supervised Learning Using Spatial Segregation Theory

Autori: Bozorgnia, Farid; Fotouhi, Morteza; Arakelyan, Avetik; Elmoataz, Abderrahim
Pubblicato in: arxiv, 2022
Editore: arxiv
DOI: 10.48550/arxiv.2211.16030

The Infinity Laplacian eigenvalue problem: reformulation and a numerical scheme

Autori: Bozorgnia, Farid; Bungert, Leon; Tenbrinck, Daniel
Pubblicato in: arxiv, 2020
Editore: arxiv
DOI: 10.48550/arxiv.2004.08127

Uniqueness of a solution to a general class of discrete system defined on connected graphs

Autori: Arakelyan, Avetik; Bozorgnia, Farid
Pubblicato in: arxiv, 2022
Editore: arxiv
DOI: 10.48550/arxiv.2207.11957

Learned convex regularizers for inverse problems

Autori: Mukherjee, Subhadip; Dittmer, Sören; Shumaylov, Zakhar; Lunz, Sebastian; Öktem, Ozan; Schönlieb, Carola-Bibiane
Pubblicato in: arXiv, Numero 2, 2020
Editore: arXiv
DOI: 10.48550/arxiv.2008.02839

Γ-Convergence of an Ambrosio-Tortorelli approximation scheme for image segmentation

Autori: Fonseca, Irene; Kreusser, Lisa Maria; Schönlieb, Carola-Bibiane; Thorpe, Matthew
Pubblicato in: arxiv, 2022
Editore: arxiv
DOI: 10.48550/arxiv.2202.04965

Consistency of Fractional Graph-Laplacian Regularization in Semi-Supervised Learning with Finite Labels

Autori: Weihs, Adrien; Thorpe, Matthew
Pubblicato in: arxiv, 2023
Editore: arxiv
DOI: 10.48550/arxiv.2303.07818

On anisotropic diffusion equations for label propagation

Autori: Lisa Maria Kreusser, Marie-Therese Wolfram
Pubblicato in: arxiv, 2020
Editore: arxiv
DOI: 10.48550/arxiv.2007.12516

Contrastive Registration for Unsupervised Medical Image Segmentation

Autori: L Liu, AI Aviles-Rivero, CB Schönlieb
Pubblicato in: arxiv, 2020
Editore: arxiv
DOI: 10.48550/arxiv.2011.08894

Duality for Neural Networks through Reproducing Kernel Banach Spaces

Autori: Spek, Len; Heeringa, Tjeerd Jan; Schwenninger, Felix; Brune, Christoph
Pubblicato in: arXiv, 2022
Editore: arXiv
DOI: 10.48550/arxiv.2211.05020

A sparse optimization approach to infinite infimal convolution regularization

Autori: Bredies, Kristian; Carioni, Marcello; Holler, Martin; Korolev, Yury; Schönlieb, Carola-Bibiane
Pubblicato in: arxiv, 2023
Editore: arxiv
DOI: 10.48550/arxiv.2304.08628

Minimizing Quotient Regularization Model

Autori: Wang, Chao; Aujol, Jean-Francois; Gilboa, Guy; Lou, Yifei
Pubblicato in: arxiv, 2023
Editore: arxiv
DOI: 10.48550/arxiv.2308.04095

Proximal Langevin Sampling with Inexact Proximal Mapping

Autori: Matthias J. Ehrhardt, Lorenz Kuger, Carola-Bibiane Schönlieb
Pubblicato in: arxiv, 2023
Editore: arxiv
DOI: 10.48550/arxiv.2306.17737

Single Image Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition

Autori: Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio, Pablo Musé, José Lezama
Pubblicato in: arxiv, 2020
Editore: arxiv
DOI: 10.48550/arxiv.2102.01026

FISTA restart using an automatic estimation of the growth parameter

Autori: Aujol, Jean-François; Dossal, Charles H.; Labarrière, Hippolyte; Rondepierre, Aude
Pubblicato in: hal-archive, 2022
Editore: hal-archive

Approximation of Wasserstein distance with Transshipment

Autori: Papadakis, Nicolas
Pubblicato in: arxiv, 2019
Editore: arxiv
DOI: 10.48550/arxiv.1901.09400

PDE-Inspired Algorithms for Semi-Supervised Learning on Point Clouds

Autori: Oliver M. Crook, Tim Hurst, Carola-Bibiane Schönlieb, Matthew Thorpe, Konstantinos C. Zygalakis
Pubblicato in: arxiv, 2019
Editore: arxiv
DOI: 10.48550/arxiv.1909.10221

Total Variation Regularisation with Spatially Variable Lipschitz Constraints

Autori: Martin Burger, Yury Korolev, Simone Parisotto, Carola-Bibiane Schönlieb
Pubblicato in: arxiv, 2019
Editore: arxiv
DOI: 10.48550/arxiv.1912.02768

Beyond Supervised Classification: Extreme Minimal Supervision with the Graph 1-Laplacian

Autori: Angelica I. Aviles-Rivero, Nicolas Papadakis, Ruoteng Li, Samar M Alsaleh, Robby T Tan, Carola-Bibiane Schönlieb
Pubblicato in: arxiv, 2019
Editore: arxiv
DOI: 10.48550/arxiv.1906.08635

Variational Graph Methods for Efficient Point Cloud Sparsification

Autori: Tenbrinck, Daniel; Gaede, Fjedor; Burger, Martin
Pubblicato in: arxiv, 2019
Editore: arxiv
DOI: 10.48550/arxiv.1903.02858

Learning optimal orders of the underlying Euclidean norm in total variation image denoising

Autori: Pan Liu, Carola-Bibiane Schönlieb
Pubblicato in: arxiv, 2019
Editore: arxiv
DOI: 10.48550/arxiv.1903.11953

Fast Image and LiDAR alignment based on 3D rendering in sensor topology

Autori: Biasutti, Pierre; Aujol, Jean-François; Brédif, Mathieu; Bugeau, Aurélie
Pubblicato in: hal-archive, 2019
Editore: hal-archive

RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud

Autori: Biasutti, Pierre; Bugeau, Aurélie; Aujol, Jean-François; Brédif, Mathieu
Pubblicato in: arxiv, 2019
Editore: arXiv
DOI: 10.48550/arxiv.1905.08748

Graph gradient flows : from discrete to continuum

Autori: Yoshikazu Giga, Yves van Gennip, Jun Okamoto
Pubblicato in: arxiv, 2022
Editore: arxiv
DOI: 10.48550/arxiv.2211.03384

Total-Variation -- Fast Gradient Flow and Relations to Koopman Theory

Autori: Cohen, Ido; Berkov, Tom; Gilboa, Guy
Pubblicato in: arxiv, 2021
Editore: arxiv
DOI: 10.48550/arxiv.2105.10044

Classification of datasets with imputed missing values: does imputation quality matter?

Autori: Shadbahr, Tolou; Roberts, Michael; Stanczuk, Jan; Gilbey, Julian; Teare, Philip; Dittmer, Sören; Thorpe, Matthew; Torne, Ramon Vinas; Sala, Evis; Lio, Pietro; Patel, Mishal; Collaboration, A. I. X.-C. O. V. N. E. T.; Rudd, James H. F.; Mirtti, Tuomas; Rannikko, Antti; Aston, John A. D.; Tang, Jing; Schönlieb, Carola-Bibiane
Pubblicato in: arxiv, 2022
Editore: arxiv
DOI: 10.48550/arxiv.2206.08478

Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators

Autori: Gofer, Eyal; Gilboa, Guy
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Pagina/e 29--41
Editore: Springer
DOI: 10.1007/978-3-031-31975-4_3

Iterative regularization for convex regularizers

Autori: Molinari, Cesare; Massias, Mathurin; Rosasco, Lorenzo; Villa, Silvia
Pubblicato in: Proceedings of Machine Learning Research, Numero 130, 2021, Pagina/e 1684--1692
Editore: PMLR

Kernel methods through the roof: handling billions of points efficiently

Autori: Meanti, Giacomo; Carratino, Luigi; Rosasco, Lorenzo; Rudi, Alessandro
Pubblicato in: Advances in Neural Information Processing Systems, Numero 33, 2020, Pagina/e 14410--14422
Editore: Neurips

Weighted-CEL0 sparse regularisation for molecule localisation in super-resolution microscopy with Poisson data

Autori: M. Lazzaretti, L. Calatroni, C. Estatico
Pubblicato in: IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
Editore: IEEE
DOI: 10.1109/isbi48211.2021.9434014

Mean Nyström Embeddings for Adaptive Compressive Learning

Autori: Chatalic, Antoine; Carratino, Luigi; De Vito, Ernesto; Rosasco, Lorenzo
Pubblicato in: Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, Numero 151, 2022, Pagina/e 9869--9889
Editore: PMLR

Multiclass learning with margin: exponential rates with no bias-variance trade-off

Autori: Vigogna, Stefano; Meanti, Giacomo; De Vito, Ernesto; Rosasco, Lorenzo
Pubblicato in: Proceedings of the 39th International Conference on Machine Learning, Numero 162, 2022, Pagina/e 22260--22269
Editore: PMLR

CLIP: Cheap Lipschitz Training of Neural Networks

Autori: Bungert, L., Raab, R., Roith, T., Schwinn, L., Tenbrinck, D.
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science, Numero 12679, 2021, ISBN 978-3-030-75549-2
Editore: Springer
DOI: 10.1007/978-3-030-75549-2_25

Sliced Optimal Partial Transport

Autori: Bai, Yikun; Schmitzer, Bernhard; Thorpe, Matthew; Kolouri, Soheil
Pubblicato in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, Pagina/e 13681-13690
Editore: IEEE Computer Society
DOI: 10.1109/cvpr52729.2023.01315

A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification

Autori: Cartas, Alejandro; Ballester, Coloma; Haro, Gloria
Pubblicato in: Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports, 2022
Editore: ACM
DOI: 10.1145/3552437.3555691

ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions

Autori: Carratino, Luigi; Vigogna, Stefano; Calandriello, Daniele; Rosasco, Lorenzo
Pubblicato in: Advances in Neural Information Processing Systems, Numero 34, 2021, Pagina/e 6430--6441
Editore: neurips

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

Autori: Meanti, Giacomo; Carratino, Luigi; De Vito, Ernesto; Rosasco, Lorenzo
Pubblicato in: Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, Numero 151, 2022, Pagina/e 6554--6572
Editore: PMLR

Regularization Properties of Dual Subgradient Flow

Autori: Apidopoulos, Vassilis; Molinari, Cesare; Rosasco, Lorenzo; Villa, Silvia
Pubblicato in: 2023 European Control Conference ({ECC}), 2023
Editore: IEEE
DOI: 10.23919/ecc57647.2023.10178128

History-Based Anomaly Detector: An Adversarial Approach to Anomaly Detection

Autori: Pierrick Chatillon, Coloma Ballester
Pubblicato in: Intelligent Systems and Applications - Proceedings of the 2020 Intelligent Systems Conference (IntelliSys) Volume 1, Numero 1250, 2021, Pagina/e 761-776, ISBN 978-3-030-55179-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-55180-3_58

Structure preserving neural networks based on ODEs

Autori: Murari, Davide; Celledoni, Elena; Owren, Brynjulf; Schönlieb, Carola-Bibiane; Sherry, Ferdia
Pubblicato in: NeurIPS 2022 Workshop The Symbiosis of Deep Learning and Differential Equations II, 2022
Editore: OpenReview

Solos: A Dataset for Audio-Visual Music Analysis

Autori: Juan F. Montesinos, Olga Slizovskaia, Gloria Haro
Pubblicato in: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), Numero 22, 2020, Pagina/e 1-6, ISBN 978-1-7281-9320-5
Editore: IEEE
DOI: 10.1109/mmsp48831.2020.9287124

Vocoder-Based Speech Synthesis from Silent Videos

Autori: Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen
Pubblicato in: Interspeech 2020, 2020, Pagina/e 3530-3534
Editore: ISCA
DOI: 10.21437/interspeech.2020-1026

Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification

Autori: Aviles-Rivero, Angelica I.; Runkel, Christina; Papadakis, Nicolas; Kourtzi, Zoe; Schönlieb, Carola-Bibiane
Pubblicato in: Medical Image Computing and Computer Assisted Intervention – MICCAI 2022. Lecture Notes in Computer Science, 2022, Pagina/e 717--727
Editore: Springer
DOI: 10.1007/978-3-031-16437-8_69

Fluctuation-Based Deconvolution in~Fluorescence Microscopy Using Plug-and-Play Denoisers

Autori: Stergiopoulou, Vasiliki; Mukherjee, Subhadip; Calatroni, Luca; Blanc-Féraud, Laure
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Pagina/e 498--510
Editore: Springer
DOI: 10.1007/978-3-031-31975-4_38

iUNets: Learnable Invertible Up- and Downsampling for Large-Scale Inverse Problems

Autori: Christian Etmann, Rihuan Ke, Carola-Bibiane Schonlieb
Pubblicato in: 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020, Pagina/e 1-6, ISBN 978-1-7281-6662-9
Editore: IEEE
DOI: 10.1109/mlsp49062.2020.9231874

Resolution-Invariant Image Classification Based on Fourier Neural Operators

Autori: Kabri, Samira; Roith, Tim; Tenbrinck, Daniel; Burger, Martin
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Pagina/e 236--249
Editore: Springer
DOI: 10.1007/978-3-031-31975-4_18

COL0RME: COvariance-based $ell_0$ super-Resolution Microscopy with intensity Estimation

Autori: V. Stergiopoulou, H. Goulart, S. Schaub, L. Calatroni and L. Blanc-Féraud
Pubblicato in: 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
Editore: IEEE
DOI: 10.1109/isbi48211.2021.9433976

Graph Laplacian for Semi-supervised Learning

Autori: Streicher, Or; Gilboa, Guy
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Pagina/e 29--41
Editore: Springer
DOI: 10.1007/978-3-031-31975-4_19

Self-Supervised Small Soccer Player Detection and Tracking

Autori: Samuel Hurault, Coloma Ballester, Gloria Haro
Pubblicato in: Proceedings of the 3rd International Workshop on Multimedia Content Analysis in Sports, Numero 3, 2020, Pagina/e 9-18, ISBN 9781450381499
Editore: ACM
DOI: 10.1145/3422844.3423054

Residual Whiteness Principle for Automatic Parameter Selection in l2-l2 Image Super-Resolution Problems

Autori: Pragliola, Monica; Calatroni, Luca; Lanza, Alessandro; Sgallari, Fiorella
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science, 2021, Pagina/e 476--488
Editore: Springer
DOI: 10.1007/978-3-030-75549-2_38

Efficient Graph-Based Active Learning with Probit Likelihood via Gaussian Approximations

Autori: Kevin Miller, Hao Li, and Andrea L. Bertozzi
Pubblicato in: Workshop on Real World Experiment Design and Active Learning, at the International Conference on Machine Learning (ICML), Numero 2, 2020
Editore: ICML
DOI: 10.48550/arxiv.2007.11126

Variational models on graphs and related flows for data analysis and image processing

Autori: Y. van Gennip
Pubblicato in: 2020 Calculus of Variations - Online, Germany, Numero 22, 2020, Pagina/e 42-46
Editore: Mathematisches Forschungsinstitut Oberwolfach
DOI: 10.14760/owr-2020-22

Using Player's Body-Orientation to Model Pass Feasibility in Soccer

Autori: A. Arbues-Sanguesa, A. Martin, J. Fernandez, C. Ballester, G. Haro
Pubblicato in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020, Pagina/e 3875-3884, ISBN 978-1-7281-9360-1
Editore: IEEE
DOI: 10.1109/cvprw50498.2020.00451

SCOTCH and SODA: A Transformer Video Shadow Detection Framework

Autori: Liu, Lihao; Prost, Jean; Zhu, Lei; Papadakis, Nicolas; Li{\`{o}}, Pietro; Schönlieb, Carola-Bibiane; Aviles-Rivero, Angelica I.
Pubblicato in: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Editore: IEEE
DOI: 10.1109/cvpr52729.2023.01007

Hypergraph p-Laplacians, Scale Spaces, and Information Flow in Networks

Autori: Fazeny, Ariane; Tenbrinck, Daniel; Burger, Martin
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Pagina/e 677--690
Editore: Springer
DOI: 10.1007/978-3-031-31975-4_52

A cappella: Audio-visual Singing Voice Separation

Autori: Montesinos, Juan F.; Kadandale, Venkatesh S.; Haro, Gloria
Pubblicato in: 32nd British Machine Vision Conference 2021, BMVC 2021, Online, November 22-25, 2021, 2021, Pagina/e 288
Editore: BMVA Press

Visibility Estimation in Point Clouds with Variable Density

Autori: P. Biasutti, A. Bugeau, J-F. Aujol, M. Brédif
Pubblicato in: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019, Pagina/e 27-35, ISBN 978-989-758-354-4
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007308600270035

Semantic Image Inpainting through Improved Wasserstein Generative Adversarial Networks

Autori: Patricia Vitoria, Joan Sintes, Coloma Ballester
Pubblicato in: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019, Pagina/e 249-260, ISBN 978-989-758-354-4
Editore: SCITEPRESS - Science and Technology Publications
DOI: 10.5220/0007367902490260

Motion Inpainting by an Image-Based Geodesic AMLE Method

Autori: M. Oliver, L. Raad, C. Ballester, G. Haro
Pubblicato in: 2018 25th IEEE International Conference on Image Processing (ICIP), 2018, Pagina/e 2267-2271, ISBN 978-1-4799-7061-2
Editore: IEEE
DOI: 10.1109/icip.2018.8451851

Sparse Multiple Kernel Learning: Support Identification via Mirror Stratifiability

Autori: Guillaume Garrigos, Lorenzo Rosasco, Silvia Villa
Pubblicato in: 2018 26th European Signal Processing Conference (EUSIPCO), 2018, Pagina/e 1077-1081, ISBN 978-9-0827-9701-5
Editore: IEEE
DOI: 10.23919/EUSIPCO.2018.8553267

LU-Net: An Efficient Network for 3D LiDAR Point Cloud Semantic Segmentation Based on End-to-End-Learned 3D Features and U-Net

Autori: Pierre Biasutti, Vincent Lepetit, Jean-Francois Aujol, Mathieu Bredif, Aurelie Bugeau
Pubblicato in: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019, Pagina/e 942-950, ISBN 978-1-7281-5023-9
Editore: IEEE
DOI: 10.1109/iccvw.2019.00123

Multi-Person Tracking By Multi-Scale Detection in Basketball Scenarios

Autori: Arbués-Sangüesa, Adrià; Haro, Gloria; Ballester, Coloma
Pubblicato in: IMVIP 2019: Irish Machine Vision & Image Processing, 2019
Editore: Technological University Dublin
DOI: 10.21427/63bf-4y98

ChromaGAN: Adversarial Picture Colorization with Semantic Class Distribution

Autori: Patricia Vitoria, Lara Raad, Coloma Ballester
Pubblicato in: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), 2020
Editore: IEEE

Implicit Regularization of Accelerated Methods in Hilbert Spaces

Autori: Nicolò Pagliana, Lorenzo Rosasco
Pubblicato in: NIPS'19: Proceedings of the 33rd International Conference on Neural Information Processing Systems, Numero 1297, 2019, Pagina/e 14481-14491
Editore: neurips

Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

Autori: Calandriello, Daniele; Carratino, Luigi; Lazaric, Alessandro; Valko, Michal; Rosasco, Lorenzo
Pubblicato in: Conference on Learning Theory, Numero 99, 2019, ISSN 2640-3498
Editore: Proceedings of Machine Learning

Beating SGD Saturation with Tail-Averaging and Minibatching

Autori: Nicole Muecke, Gergely Neu, Lorenzo Rosasco
Pubblicato in: Advances in Neural Information Processing Systems, Numero 32, 2019
Editore: Neural Information Processing Systems Foundation, Inc.

On the Bias-Variance Tradeoff in Stochastic Gradient Methods

Autori: Driggs, Derek, Liang, Jingwei, Schönlieb, Carola-Bibiane
Pubblicato in: Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Numero 34, 2021, Pagina/e 22119--22131
Editore: neurips

On the Connection Between Adversarial Robustness and Saliency Map Interpretability

Autori: Etmann, Christian; Lunz, Sebastian; Maass, Peter; Schönlieb, Carola-Bibiane
Pubblicato in: Proceedings of the 36th International Conference on Machine Learning, Numero 97, 2019, Pagina/e 1823-1832
Editore: Proceedings of Machine Learning Research

Adversarial regularizers in inverse problems

Autori: Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
Pubblicato in: Advances in Neural Information Processing Systems 31 (NIPS 2018), Numero 31, 2018
Editore: Neural Information Processing Systems Foundation, Inc.

Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification

Autori: Milios, Dimitrios; Camoriano, Raffaello; Michiardi, Pietro; Rosasco, Lorenzo; Filippone, Maurizio
Pubblicato in: Advances in Neural Information Processing Systems, Numero 31, 2018, Pagina/e 6005--6015
Editore: Curran Associates, Inc.

On Fast Leverage Score Sampling and Optimal Learning

Autori: Rudi, A; Calandriello, D; Carratino, L; Rosasco, L
Pubblicato in: Advances in Neural Information Processing Systems, Numero 31, 2018
Editore: Curran Associates, Inc.

Détection et localisation d'objets 3D par apprentissage profond en topologie capteur

Autori: Biasutti, Pierre; Bugeau, Aurélie; Aujol, Jean-François; Brédif, Mathieu
Pubblicato in: GRETSI Groupement de Recherche en Traitement du Signal et de l'Image, Aug 2019, Lille, France, Numero 1, 2019
Editore: not applicable

Deeply Learned Spectral Total Variation Decomposition

Autori: Tamara G. Grossmann, Yury Korolev, Guy Gilboa and Carola-Bibiane Schönlieb
Pubblicato in: Conference on Neural Information Processing Systems (NeurIPS 2020), Numero 34, 2020
Editore: NeurIPS

Decentralised Learning with Random Features and Distributed Gradient Descent

Autori: Richards, Dominic; Rebeschini, Patrick; Rosasco, Lorenzo
Pubblicato in: Proceedings of the 37th International Conference on Machine Learning, Numero 37, 2020
Editore: Proceedings of Machine Learning Research

Total-Variation Mode Decomposition

Autori: Cohen, Ido; Berkov, Tom; Gilboa, Guy
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science, 2021, Pagina/e 52--64
Editore: Springer
DOI: 10.1007/978-3-030-75549-2_5

Stochastic Gradient Descent for Linear Inverse Problems in Variable Exponent Lebesgue Spaces

Autori: Lazzaretti, Marta; Kereta, Zeljko; Estatico, Claudio; Calatroni, Luca
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2023. Lecture Notes in Computer Science, 2023, Pagina/e 457--470
Editore: Springer
DOI: 10.1007/978-3-031-31975-4_35

VocaLiST: An Audio-Visual Synchronisation Model for Lips and Voices

Autori: Kadandale, Venkatesh Shenoy; Montesinos, Juan F.; Haro, Gloria
Pubblicato in: Interspeech 2022, 2022
Editore: ISCA
DOI: 10.21437/interspeech.2022-10861

3D Image Super-Resolution by Fluorophore Fluctuations and MA-TIRF Microscopy Reconstruction 3D-COL0RME

Autori: Stergiopoulou, Vasiliki; Calatroni, Luca; Schaub, Sebastien; Blanc-Feraud, Laure
Pubblicato in: 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI), 2022, ISBN 978-1-6654-2923-8
Editore: IEEE
DOI: 10.1109/isbi52829.2022.9761572

Always Look On The Bright Side Of The Field: Merging Pose And Contextual Data To Estimate Orientation Of Soccer Players

Autori: A. Arbues-Sanguesa, A. Martin, J. Fernandez, C. Rodriguez, G. Haro, C. Ballester
Pubblicato in: 2020 IEEE International Conference on Image Processing (ICIP), 2022
Editore: IEEE
DOI: 10.1109/icip40778.2020.9190639

Non-convex Super-resolution of OCT images via sparse representation

Autori: G. Scrivanti, L.Calatroni, S. Morigi, L.Nicholson, A.Achim
Pubblicato in: accepted for publication in the IEEE-ISBI 2021 conference proceedings, Numero IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021
Editore: IEEE
DOI: 10.1109/isbi48211.2021.9434013

Art Speaks Maths, Maths Speaks Art

Autori: Ninetta Leone, Simone Parisotto, Kasia Targonska-Hadzibabic, Spike Bucklow, Alessandro Launaro, Suzanne Reynolds, Carola-Bibiane Schönlieb
Pubblicato in: Proceedings of Bridges 2020: Mathematics, Art, Music, Architecture, Education, Culture, 2020, Pagina/e 481--484
Editore: Tessellations Publishing

Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates

Autori: Calder, Jeff; Cook, Brendan; Thorpe, Matthew; Slepcev, Dejan
Pubblicato in: International Conference on Machine Learning, Numero 37, 2020
Editore: PMLR

GRAND++: Graph Neural Diffusion with A Source Term

Autori: Thorpe, Matthew; Nguyen, Tan Minh; Xia, Hedi; Strohmer, Thomas; Bertozzi, Andrea; Osher, Stanley; Wang, Bao
Pubblicato in: International Conference on Learning Representations, Numero annually, 2022
Editore: OpenReview

A Scaled and Adaptive FISTA Algorithm for Signal-Dependent Sparse Image Super-Resolution Problems

Autori: Lazzaretti, Marta; Rebegoldi, Simone; Calatroni, Luca; Estatico, Claudio
Pubblicato in: Scale Space and Variational Methods in Computer Vision. SSVM 2021. Lecture Notes in Computer Science, 2021, Pagina/e 242--253
Editore: Springer
DOI: 10.1007/978-3-030-75549-2_20

Hyperbolic Manifold Regression

Autori: Marconi, Gian Maria; Rosasco, Lorenzo; Ciliberto, Carlo
Pubblicato in: Proceedings of Machine Learning Research, Numero 108, 2020, Pagina/e 2570-2580
Editore: PMLR

Near-linear time Gaussian process optimization with adaptive batching and resparsification

Autori: Calandriello, Daniele; Carratino, Luigi; Lazaric, Alessandro; Valko, Michal; Rosasco, Lorenzo
Pubblicato in: International Conference on Machine Learning, Numero 37, 2020
Editore: Proceedings of Machine Learning Research

Nonlinear Spectral Analysis with Variational Methods

Autori: Leon Bungert
Pubblicato in: 2020
Editore: tba

Nuclear norms in the context of dynamic MRI:regularization techniques and asymptotic analysis

Autori: Kinzel, M. (Meike)
Pubblicato in: Numero 1, 2021
Editore: Universität Münster

È in corso la ricerca di dati su OpenAIRE...

Risultati finali

Pubblicazioni

Condividi questa pagina Condividi questa pagina sui social network

Scarica Scarica il contenuto della pagina