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Project Information

NoTape

Grant agreement ID: 757360

DOI

10.3030/757360

Project closed

EC signature date 23 November 2017

Start date 1 December 2017

End date 31 May 2023

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 463 805,00

EU contribution

€ 1 463 805,00

Coordinated by

DANMARKS TEKNISKE UNIVERSITET
Denmark

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (26)

Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval

Author(s): Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg
Published in: IEEE/CVF International Conference on Computer Vision (ICCV), 2021, ISBN 978-1-6654-2812-5
Publisher: IEEE
DOI: 10.1109/iccv48922.2021.01194

Pulling back information geometry

Author(s): Georgios Arvanitidis, Miguel González-Duque, Alison Pouplin, Dimitrios Kalatzis, Søren Hauberg
Published in: Artificial Intelligence and Statistics (AISTATS), 2022
Publisher: Proceedings of Machine Learning Research

Hierarchical VAEs Know What They Don’t Know

Author(s): Jakob D. Havtorn, Jes Frellsen, Søren Hauberg, Lars Maaløe
Published in: International Conference on Machine Learning (ICML), 2021
Publisher: Proceedings of Machine Learning Research

Bounds all around: training energy-based models with bidirectional bounds

Author(s): Cong Geng, Jia Wang, Zhiyong Gao, Jes Frellsen, Søren Hauberg
Published in: Advances in Neural Information Processing Systems (NeurIPS), 2021, ISBN 9781713845393
Publisher: Curran Associates

Probabilistic Spatial Transformer Networks

Author(s): Pola Schwöbel; Frederik Rahbæk Warburg; Martin Jørgensen; Kristoffer Hougaard Madsen; Søren Hauberg
Published in: Proceedings of the Thirty-Eighth Conference on Uncertainty in Artificial Intelligence}, Issue 1, 2022
Publisher: PMLR
DOI: 10.48550/arxiv.2004.03637

Model-agnostic out-of-distribution detection using combined statistical tests

Author(s): Federico Bergamin, Pierre-Alexandre Mattei, Jakob Drachmann Havtorn, Hugo Sénétaire, Hugo Schmutz, Lars Maaløe, Søren Hauberg, Jes Frellsen
Published in: Artificial Intelligence and Statistics (AISTATS), 2022
Publisher: Proceedings of Machine Learning Research

Geometrically Enriched Latent Spaces

Author(s): Georgios Arvanitidis, Søren Hauberg, Bernhard Schölkopf
Published in: Artificial Intelligence and Statistics (AISTATS), 2021
Publisher: Proceedings of Machine Learning Research

Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry

Author(s): González-Duque, Miguel; Palm, Rasmus Berg; Hauberg, Søren; Risi, Sebastian
Published in: Gonzalez-Duque , M , Palm , R B , Hauberg , S & Risi , S 2022 , Mario Plays on a Manifold: Generating Functional Content in Latent Space through Differential Geometry . in Proceedings of 2022 IEEE Conference on Games . IEEE , 2022 IEEE Conference on Games , Beijing , China , 21/08/2022 . https://doi.org/10.1109/CoG51982.2022.9893612, Issue 1, 2022
Publisher: IEEE
DOI: 10.1109/cog51982.2022.9893612

Adaptive Cholesky Gaussian Processes

Author(s): Simon Bartels, Kristoffer Stensbo-Smidt, Pablo Moreno-Munoz, Wouter Boomsma, Jes Frellsen, Søren Hauberg
Published in: Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, 2023
Publisher: PMLR

Learning Riemannian Manifolds for Geodesic Motion Skills

Author(s): Hadi Beik-Mohammadi, Søren Hauberg, Georgios Arvanitidis, Gerhard Neumann, Leonel Rozo
Published in: Robotics: Science and Systems (R:SS), 2021
Publisher: Robotics Proceedings
DOI: 10.15607/rss.2021.xvii.082

Probabilistic Riemannian submanifold learning with wrapped Gaussian process latent variable models

Author(s): Mallasto, Anton; Hauberg, Søren; Feragen, Aasa
Published in: roceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, Issue 4, 2019
Publisher: Proceedings of Machine Learning Research

Fast and Robust Shortest Paths on Manifolds Learned from Data

Author(s): Arvanitidis, Georgios; Hauberg, Søren; Hennig, Philipp; Schober, Michael
Published in: Proceedings of the Twenty-Second International Conference on Artificial Intelligence and Statistics, Issue 3, 2019
Publisher: Proceedings of Machine Learning Research

Deep Diffeomorphic Transformer Networks

Author(s): Nicki Skafte Detlefsen, Oren Freifeld, Soren Hauberg
Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Page(s) 4403-4412, ISBN 978-1-5386-6420-9
Publisher: IEEE
DOI: 10.1109/cvpr.2018.00463

Latent Space Oddity: on the Curvature of Deep Generative Models

Author(s): G. Arvanitidis, L.K. Hansen and S. Hauberg
Published in: International Conference on Learning Representations (ICLR), 2018
Publisher: International Conference on Learning Representations (ICLR)

Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition

Author(s): Frederik Warburg, Søren Hauberg, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Javier Civera
Published in: Computer Vision and Pattern Recognition, 2020
Publisher: IEEE

Explicit Disentanglement of Appearance and Perspective in Generative Models

Author(s): Nicki Skafte Detlefsen, Søren Hauberg
Published in: NeurIPS, 2019
Publisher: NeurIPS

Reliable training and estimation of variance networks

Author(s): Detlefsen, Nicki S.; Jørgensen, Martin; Hauberg, Søren
Published in: Advances in Neural Information Processing Systems (NeurIPS), Issue 2, 2019
Publisher: NeurIPS

Directional Statistics with the Spherical Normal Distribution

Author(s): Søren Hauberg
Published in: International Conference on Information Fusion (FUSION), 2018
Publisher: IEEE
DOI: 10.23919/icif.2018.8455242

Variational Autoencoders with Riemannian Brownian Motion Priors

Author(s): Dimitris Kalatzis, David Eklund, Georgios Arvanitidis Søren Hauberg
Published in: International Conference on Machine Learning, 2020
Publisher: PMLR

On the Geometry of Latent Variable Models

Author(s): Søren Hauberg
Published in: 2018
Publisher: Oberwolfach

Can you trust predictive uncertainty under real dataset shifts in digital pathology?

Author(s): Jeppe Thagaard, Søren Hauberg, Bert van der Vegt, Thomas Ebstrup, Johan D. Hansen, Anders B. Dahl
Published in: 23rd INTERNATIONAL CONFERENCE ON MEDICAL IMAGE COMPUTING & COMPUTER ASSISTED INTERVENTION, 2020
Publisher: Springer

Benchmarking Generative Latent Variable Models for Speech

Author(s): Jakob Drachmann Havtorn, Lasse Borgholt, Søren Hauberg, Jes Frellsen, Lars Maaløe
Published in: ICLR Workshop on Deep Generative Models for Highly Structured Data, 2022
Publisher: OpenReview

Revisiting Active Sets for Gaussian Process Decoders

Author(s): Pablo Moreno-Muñoz, Cilie Feldager, Søren Hauberg
Published in: Advances in Neural Information Processing Systems, 2022
Publisher: Curran Associates, Inc.

Spontaneous Symmetry Breaking in Data Visualization

Author(s): Cilie W. Feldager, Søren Hauberg, Lars Kai Hansen
Published in: ICANN, 2021, ISBN 978-3-030-86339-5
Publisher: Springer
DOI: 10.1007/978-3-030-86340-1_35

Isometric Gaussian Process Latent Variable Model for Dissimilarity Data

Author(s): Jørgensen, Martin; Hauberg, Søren
Published in: International Conference on Machine Learning, 2021
Publisher: Proceedings of Machine Learning Research

Laplacian Autoencoders for Learning Stochastic Representations

Author(s): Marco Miani, Frederik Warburg, Pablo Moreno-Muñoz, Nicki Skafte, Søren Hauberg
Published in: Advances in Neural Information Processing Systems, 2022
Publisher: Curran Associates, Inc.

Peer reviewed articles (6)

Danish Airs and Grounds: A Dataset for Aerial-to-Street-Level Place Recognition and Localization

Author(s): Andrea Vallone, Frederik Warburg, Hans Hansen, Søren Hauberg, Javier Civera
Published in: IEEE Robotics and Automation Letters, 2022, ISSN 2377-3766
Publisher: IEEE
DOI: 10.1109/lra.2022.3187491

Learning meaningful representations of protein sequences

Author(s): Nicki Skafte Detlefsen, Søren Hauberg, Wouter Boomsma
Published in: Nature Communications, 2022, ISSN 2041-1723
Publisher: Nature Publishing Group
DOI: 10.1038/s41467-022-29443-w

Intrinsic Grassmann Averages for Online Linear Robust and Nonlinear Subspace Learning

Author(s): Rudrasis Chakraborty, Liu Yang, Søren Hauberg, Baba C. Vemuri.
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, ISSN 1939-3539
Publisher: IEEE

Parallel QR factorization of block-tridiagonal matrices

Author(s): Alfredo Buttari, Søren Hauberg, Costy Kodsi
Published in: SIAM Journal on Scientific Computing, 2019, ISSN 1064-8275
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1306166

Numerical predictions of U-notched sample failure based on a discrete energy argument

Author(s): S.A. Zahedi; C. Kodsi; Filippo Berto
Published in: Theoretical and Applied Fracture Mechanics, 2019, ISSN 0167-8442
Publisher: Elsevier BV
DOI: 10.1016/j.tafmec.2018.12.014

Boundary Value Problem on a Weighted Graph Relevant to the Static Analysis of Truss Structures

Author(s): Costy Kodsi, Andrey P. Jivkov
Published in: SIAM Journal on Applied Mathematics, 2021, ISSN 0036-1399
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1206977

Other (3)

Only Bayes should learn a manifold (on the estimation of differential geometric structure from data)

Author(s): Hauberg, Søren
Published in: Issue 1, 2019
Publisher: arxiv.org

Geodesic Clustering in Deep Generative Models

Author(s): Yang, Tao; Arvanitidis, Georgios; Fu, Dongmei; Li, Xiaogang; Hauberg, Søren
Published in: Issue 2, 2018
Publisher: arxiv

Expected path length on random manifolds

Author(s): David Eklund, Søren Hauberg
Published in: 2019
Publisher: arXiv