Time-Data Trade-Offs in Resource-Constrained Information and Inference Systems

Project Information

time-data

Grant agreement ID: 725594

DOI 10.3030/725594

Project closed

EC signature date 15 December 2016

Start date 1 September 2017

End date 28 February 2023

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost € 1 931 574,00

EU contribution € 1 931 574,00

Coordinated by

ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland

Publications

Conference proceedings (52)

Understanding Deep Neural Function Approximation in Reinforcement Learning via ε-Greedy Exploration

Author(s): Fanghui Liu, Luca Viano, Volkan Cevher
Published in: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Issue November 28-december 9, 2022, 2022
Publisher: NeurIPS

Robust Reinforcement Learning via Adversarial training with Langevin Dynamics

Author(s): K. Parameswaran, Y-T. Huang, Y-P. Hsieh, P. Rolland, C. Shi and V. Cevher
Published in: Conference on Neural Information Processing Systems (NeurIPS), Issue 6-12 December, 2020, 2020
Publisher: NeurIPS

Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach

Author(s): N. Hallak, P. Mertikopoulos, and V. Cevher
Published in: International Conference On Machine Learning (ICML), Issue 18-24 July, 2021, 2021
Publisher: PMLR

Conditional gradient methods for stochastically constrained convex minimization

Author(s): M-L. Vladarean, A. Alacaoglu, Y-P. Hsieh and V. Cevher
Published in: International Conference on Machine Learning (ICML), Issue 13-18 July, 2020, 2020
Publisher: PMLR

Escaping limit cycles: Global convergence for constrained nonconvexnonconcave minimax problems

Author(s): T. Pethick, P. Latafat, P. Patrinos, O. Fercoq, and V. Cevher
Published in: International Conference on Learning Representations (ICLR), Issue 25-29 April, 2022, 2022
Publisher: IEEE

Sound and Complete Verification of Polynomial Networks

Author(s): Elias Abad Rocamora Mehmet Fatih Sahin, Fanghui Liu, Grigoriso Chrysos, Volkan Cevher
Published in: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Issue November 28 - December 9, 2022, 2022
Publisher: NeurIPS

STORM+: fully adaptive SGD with Recursive Momentum for Nonconvex Optimization,

Author(s): K.Y. Levy, A. Kavis, and V. Cevher
Published in: Conference on Neural Information Processing Systems (NeurIPS), Issue 6-14 December, 2021, 2021
Publisher: NeurIPS

Controlling the Complexity and Lipschitz Constant improves Polynomial Nets

Author(s): Z. Zhu, F. Latorre, G. Chrysos, and V. Cevher
Published in: International Conference on Learning Representations (ICLR), Issue 25-29 April, 2022, 2022
Publisher: IEEE

Random extrapolation for primal-dual coordinate descent

Author(s): A. Alacaoglu, O. Fercoq and V. Cevher
Published in: International Conference on Machine Learning (ICML), Issue 13-18 July, 2020, 2020
Publisher: PMLR

High Probability Bounds for a Class of Nonconvex Algorithms with AdaGrad Stepsize

Author(s): Ali Kavis, Kfir Yehuda Levy, Volkan Cevher
Published in: International Conference on Learning Representations (ICLR), Issue 25-29 April 2022, 2022
Publisher: IEEE

Convergence of adaptive algorithms for constrained weakly convex optimization,

Author(s): A. Alacaoglu, Y. Malitsky, and V. Cevher
Published in: Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Issue 6-14 December, 2021, 2021, ISBN 9781713845393
Publisher: NeurIPS

The Effect of the Intrinsic Dimension on the Generalization of Quadratic Classifiers

Author(s): F. Latorre, L.T. Dadi, P. Rolland, and V. Cevher
Published in: Conference on Neural Information Processing Systems (NeurIPS), Issue 6-14 December, 2021, 2021
Publisher: NeurIPS

On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems

Author(s): P. Mertikopoulos, N. Hallak, A. Kavis, and V. Cevher
Published in: Conference on Neural Information Processing Systems (NeurIPS), Issue 6-12 December, 2020, 2020
Publisher: NeurIPS

Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models

Author(s): Paul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello
Published in: Proceedings of the 39th International Conference on Machine Learning, PMLR, Issue Volume 162, 2022, Page(s) 18741-18753
Publisher: ML Research Press

Subquadratic Overparameterization for Shallow Neural Networks

Author(s): C. Song, A. Ramezani-Kebrya, T. Pethick, A. Eftekhari, and V. Cevher
Published in: Conference on Neural Information Processing Systems (NeurIPS), Issue 6-14 December, 2021, 2021
Publisher: NeurIPS

Robustness in deep learning: The good (width), the bad (depth), and the ugly (initialization)

Author(s): Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Published in: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Issue November 28-December 3, 2022, 2022
Publisher: NeurIPS

A first order primal-dual method with adaptivity to local Lipschitz smoothness

Author(s): M-L. Vladarean, Y. Malitsky, and V. Cevher
Published in: Conference on Neural Information Processing Systems (NeurIPS), Issue 6-14 December, 2021, 2021
Publisher: NeurIPS

Generalization Properties of NAS under Activation and Skip Connection Search

Author(s): Zhenyu Zhu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher
Published in: Advances in Neural Information Processing Systems 35 (NeurIPS 2022), Issue November 28 - December 9, 2022, 2022
Publisher: NeurIPS

The Spectral Bias of Polynomial Neural Networks

Author(s): Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos, Julien Mairal, Volkan Cevher
Published in: International Conference on Learning Representations (ICLR), Issue 25-29 April, 2022, 2022
Publisher: IEEE

The Limits of Min-Max Optimization Algorithms: Convergence to Spurious Non-Critical Sets

Author(s): Y-P. Hsieh, P. Mertikopoulos, and V. Cevher
Published in: International Conference On Machine Learning (ICML), Issue 18-24 July, 2021, 2021
Publisher: PMLR

Solving stochastic weak Minty variational inequalities without increasing batch size

Author(s): Thomas Pethick, Olivier Fercoq, Puya Latafat, Panagiotis Patrinos, Volkan Cevher.
Published in: Proceedings of the Eleventh International Conference on Learning Representations, Issue 1-5 May 2023, 2023
Publisher: ICLR

Let's be Honest: An Optimal No-Regret Framework for Zero-Sum Games

Author(s): Kangarshahi, Ehsan Asadi; Hsieh, Ya-Ping; Sahin, Mehmet Fatih; Cevher, Volkan
Published in: Proceedings of the 35th International Conference on Machine Learning, Issue once a year, 2018
Publisher: PMRL (Proceedings of Machine Learning Research)

Mirrored Langevin Dynamics

Author(s): Hsieh, Ya-Ping; Kavis, Ali; Rolland, Paul; Cevher, Volkan
Published in: Conference on Neural Information Processing Systems 2018, Issue once a year, 2018
Publisher: NIPS

Online Adaptive Methods, Universality and Acceleration

Author(s): Levy, Kfir Y.; Yurtsever, Alp; Cevher, Volkan
Published in: Proceedings of the Conference on Neural Information Processing Systems conference (NIPS 2018), Issue once a year, 2018
Publisher: NIPS

Adversarially Robust Optimization with Gaussian Processes

Author(s): Bogunovic, Ilija ; Scarlett, Jonathan ; Jegelka, Stefanie ; Cevher, Volkan
Published in: Proceedings of the Conference on Neural Information Processing Systems (NIPS), Issue once a year, 2018
Publisher: NIPS

Robust Maximization of Non-Submodular Objectives

Author(s): Bogunovic, Ilija; Zhao, Junyao; Cevher, Volkan
Published in: Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), Issue once a year, 2018
Publisher: Machine Learning Research

High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups

Author(s): Rolland, Paul; Scarlett, Jonathan; Bogunovic, Ilija; Cevher, Volkan
Published in: Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS), Issue once a year, 2018
Publisher: Machine Learning Research

Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach

Author(s): Mitrović, Slobodan; Bogunovic, Ilija; Norouzi-Fard, Ashkan; Tarnawski, Jakub; Cevher, Volkan
Published in: Proceedings of the Conference on Neural Information Processing Systems (NIPS), Issue once a year, 2017
Publisher: NIPS

Dimension-free Information Concentration via Exp-Concavity

Author(s): Hsieh, Ya-Ping; Cevher, Volkan
Published in: Proceedings of the conference of Algorithmic Learning Theory (ALT), Issue once a year, 2018
Publisher: ALT

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Author(s): Yurtsever, Alp; Fercoq, Olivier; Locatello, Francesco; Cevher, Volkan
Published in: Proceedings of the 35th International Conference on Machine Learning (ICML), Issue once a year, 2018
Publisher: Proceedings of Machine Learning Research

Real-time DCT Learning-based Reconstruction of Neural Signals

Author(s): Rabeeh Karimi Mahabadi, Cosimo Aprile, Volkan Cevher
Published in: Proceeding of the European Signal Processing Conference (EUSIPCO 2018), Issue once a year, 2018
Publisher: IEEE

Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization

Author(s): Alacaoglu Ahmet, Quoc Tran-Dinh, Olivier Fercoq, Volkan Cevher
Published in: Proceedings of the Conference on Neural Information Processing Systems (NIPS 2017),, Issue once a year, 2017
Publisher: NIPS

Near-Optimal Noisy Group Testing via Separate Decoding of Items

Author(s): Jonathan Scarlett, Volkan Cevher
Published in: 2018 IEEE International Symposium on Information Theory (ISIT), Issue once a year, 2018, Page(s) 2311-2315, ISBN 978-1-5386-4781-3
Publisher: IEEE
DOI: 10.1109/isit.2018.8437667

Optimal Distributed Learning with Multi-pass Stochastic Gradient Methods

Author(s): Junhong Lin, Volkan Cevher
Published in: Proceedings of the International Conference on Machine Learning (ICML 2018), Issue once a year, 2018
Publisher: PMLR

An area and power efficient on-the-fly LBCS transformation for implantable neuronal signal acquisition systems

Author(s): Cosimo Aprile, Wüthrich, Johannes, Baldassarre, Luca , Leblebici, Yusuf, Cevher, Volkan
Published in: Proceedings of the ACM International Conference on Computing Frontiers 2018, Issue once a year, 2018
Publisher: ACM

Stochastic Frank-Wolfe for Composite Convex Minimization

Author(s): Locatello, Francesco; Yurtsever, Alp; Fercoq, Olivier; Cevher, Volkan
Published in: Proceedings of Conference on Neural Information Processing Systems (NeurIPS)’2019, Issue once a year, 2019
Publisher: MIT Press et Morgan Kaufmann Publishers

Scalable Learning-Based Sampling Optimization For Compressive Dynamic MRI

Author(s): T. Sanchez, B. Gözcü, R. van Heeswijk, A Eftekhari, E. Ilıcak, T. Cukur, V. Cevher
Published in: Proceedings of International Conference on Acoustics, Speech, and Signal Processing (ICASSP)’2020, Issue once a year, 2020
Publisher: IEEE ICASSP

Lipschitz constant estimation for Neural Networks via sparse polynomial optimization

Author(s): F. Latorre, P. Rolland, V. Cevher
Published in: Proceedings of International Conference on Learning Representations (ICLR)’2020, Issue once a year, 2020
Publisher: ICLR

Fast and Provable ADMM for Learning with Generative Priors

Author(s): F. Latorre, A. Eftekhari, V. Cevher
Published in: Proceedings of Conference on NeuralInformation Processing Systems (NeurIPS)’2019, Issue once a year, 2019
Publisher: MIT Press and Morgan Kaufmann Publishers

UniXGrad: A Universal, Adaptive Algorithm with Optimal Guarantees for Constrained Optimization

Author(s): A. Kavis, K.Y. Levy, F. Bach, V. Cevher
Published in: Proceeding of Conference on Neural Information Processing Systems (NeurIPS)’2019, Issue once a year, 2019
Publisher: MIT Press and Morgan Kaufmann Publishers

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints

Author(s): M.F. Sahin, A. Eftekhari, A. Alacaoglu, F. Latorre, V. Cevher
Published in: Proceedings of Conference on Neural Information Processing Systems (NeurIPS)’2019, Issue once a yeaer, 2019
Publisher: MIT Press et Morgan Kaufmann Publishers

A Conditional Gradient-Based Augmented Lagrangian Framework

Author(s): A. Yurtsever, O. Fercoq, V. Cevher
Published in: Proceedings of International Conference on Machine Learning (ICML)’2019, Issue Once a year in PMLR 97, 2019, Page(s) 7272-7281
Publisher: Proceedings of Machine Learning Research

Conditional Gradient Methods via Stochastic Path-Integrated Differential Estimator

Author(s): A. Yurtsever, S. Sra, V. Cevher
Published in: Proceedings of International Conference on Machine Learning (ICML)’2019, Issue Once a year in PMLR 97, 2019, Page(s) 7282-7291
Publisher: Proceedings of Machine Learning Research

Finding Mixed Nash Equilibria of Generative Adversarial Networks

Author(s): Y-P. Hsieh, C. Liu, V. Cevher,
Published in: Proceedings of International Conference on Machine Learning (ICML)’2019, Issue Once a year in PMLR 97, 2019, Page(s) 2810-2819
Publisher: PMLR ICML

Almost surely constrained convex optimization

Author(s): O. Fercoq, A. Alacaoglu, I. Necoara, V. Cevher
Published in: Proceedings of International Conference on Machine Learning (ICML)’2019, Issue Once a year in PMLR 97, 2019, Page(s) 1910-1919
Publisher: PMLR ICML

Overlapping Multi-Bandit Best Arm Identification

Author(s): Jonathan Scarlett, Ilija Bogunovic, Volkan Cevher
Published in: 2019 IEEE International Symposium on Information Theory (ISIT), 2019, Page(s) 2544-2548, ISBN 978-1-5386-9291-2
Publisher: IEEE
DOI: 10.1109/isit.2019.8849327

Robust inverse Reinforcement Learning under Transition Dynamics Mismatch,

Author(s): L. Viano, Y-T. Huang, K. Parameswaran, A. Weller, and V. Cevher
Published in: Advances in Neural Information Processing Systems 34 (NeurIPS 2021), Issue 6-14 December, 2021, 2021, ISBN 9781713845393
Publisher: NeurIPS

Sifting through the noise: Universal first-order methods for stochastic variational inequalities

Author(s): K. Antonakopoulos, T. Pethick, A. Kavis, P. Mertikopoulos, and V. Cevher
Published in: Conference on Neural Information Processing Systems (NeurIPS), Issue 6-14 December, 2021, 2021
Publisher: NeurIPS

A new regret analysis for Adamtype algorithms,”

Author(s): A. Alacaoglu, Y. Malitsky, P. Mertikopoulos and V. Cevher
Published in: Proceeding of International Conference on Machine Learning (ICML 2020), Issue Volume 119, 13-18 July, 2020, 2020
Publisher: MLR press

Double-Loop Unadjusted Langevin Algorithm

Author(s): P. Rolland, A. Eftekhari, A. Kavis, and V. Cevher
Published in: International Conference on Machine Learning (ICML), Issue 13-18 July, 2020, 2020
Publisher: PMLR

Efficient Proximal Mapping of the 1-path-norm of Shallow Networks

Author(s): F. Latorre, P. Rolland, N. Hallak and V. Cevher
Published in: Proceeding of International Conference on Machine Learning (ICML 2020), Issue Volume 119, 13-18 July, 2020, 2020
Publisher: MLR press

UNDERGRAD: A Universal Black-Box Optimization Method with Almost Dimension-Free Convergence Rate Guarantees

Author(s): Kimon Antonakopoulos, Dong Quan Vu, Volkan Cevher, Kfir Levy, Panayotis Mertikopoulos
Published in: Proceedings of the 39th International Conference on Machine Learning, PMLR, Issue Volume 162, 2022, Page(s) 772-795
Publisher: ML Research Press

Peer reviewed articles (19)

Scalable Semidefinite Programming

Author(s): Alp Yurtsever; Joel A. Tropp; Olivier Fercoq; Madeleine Udell; Volkan Cevher
Published in: SIAM Journal on Mathematics of Data Science, Issue 39, 2021, ISSN 2577-0187
Publisher: SIAM
DOI: 10.1137/19m1305045

Forward reflected backward method with variancereduction

Author(s): A. Alacaoglu, Y. Malitsky, and V. Cevher,
Published in: Computational Optimization and Applications, 2021, ISSN 0926-6003
Publisher: Kluwer Academic Publishers
DOI: 10.1007/s10589-021-00305-3

An AC-Coupled Wideband Neural Recording Front-End With Sub-1 mm 2 ×fJ/conv-step Efficiency and 0.97 NEF

Author(s): Arda Uran; Yusuf Leblebici; Azita Emami; Volkan Cevher
Published in: IEEE Solid-State Circuits Letters, Issue 6, 2020, ISSN 2573-9603
Publisher: IEEE
DOI: 10.1109/lssc.2020.3013993

Revisiting adversarial training for the worst-performing class

Author(s): Thomas Pethick, Grigorios Chrysos, Volkan Cevher
Published in: Transactions on Machine Learning Research, Issue 1/2023, 2023, ISSN 2835-8856
Publisher: TMLR

Kernel Conjugate Gradient Methods with Random Projections

Author(s): Junhong Lin; Volkan Cevher
Published in: Applied and Computational Harmonic Analysis (ACHA), Issue 2, 2021, ISSN 1063-5203
Publisher: Academic Press
DOI: 10.1016/j.acha.2021.05.004

An Optimal-Storage Approach to Semidefinite Programming Using Approximate Complementarity

Author(s): Lijun Ding; Alp Yurtsever; Volkan Cevher; Joel A. Tropp; Madeleine Udell
Published in: SIAM Journal on Optimization, Issue 36, 2021, ISSN 1052-6234
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/19m1244603

Convergence of the Exponentiated Gradient Method with Armijo Line Search

Author(s): Yen-Huan Li, Volkan Cevher
Published in: Journal of Optimization Theory and Applications, Issue 181/2, 2019, Page(s) 588-607, ISSN 0022-3239
Publisher: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s10957-018-1428-9

Near-Optimal Noisy Group Testing via Separate Decoding of Items

Author(s): Jonathan Scarlett, Volkan Cevher
Published in: IEEE Journal of Selected Topics in Signal Processing, Issue 12/5, 2018, Page(s) 902-915, ISSN 1932-4553
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jstsp.2018.2844818

Adaptive Learning-Based Compressive Sampling for Low-power Wireless Implants

Author(s): Cosimo Aprile, Kerim Ture, Luca Baldassarre, Mahsa Shoaran, Gurkan Yilmaz, Franco Maloberti, Catherine Dehollain, Yusuf Leblebici, Volkan Cevher
Published in: IEEE Transactions on Circuits and Systems I: Regular Papers, Issue 65/11, 2018, Page(s) 3929-3941, ISSN 1549-8328
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tcsi.2018.2853983

On the linear convergence of the stochastic gradient method with constant step-size

Author(s): Volkan Cevher, Bằng Công Vũ
Published in: Optimization Letters, 2018, ISSN 1862-4472
Publisher: Springer Verlag
DOI: 10.1007/s11590-018-1331-1

A Non-Euclidean Gradient Descent Framework for Non-Convex Matrix Factorization

Author(s): Ya-Ping Hsieh, Yu-Chun Kao, Rabeeh Karimi Mahabadi, Alp Yurtsever, Anastasios Kyrillidis, Volkan Cevher
Published in: IEEE Transactions on Signal Processing, Issue 66/22, 2018, Page(s) 5917-5926, ISSN 1053-587X
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tsp.2018.2870353

Learning-Based Compressive MRI

Author(s): Baran Gozcu, Rabeeh Karimi Mahabadi, Yen-Huan Li, Efe Ilicak, Tolga Cukur, Jonathan Scarlett, Volkan Cevher
Published in: IEEE Transactions on Medical Imaging, Issue 37/6, 2018, Page(s) 1394-1406, ISSN 0278-0062
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tmi.2018.2832540

An Eight-Lane 7-Gb/s/pin Source Synchronous Single-Ended RX With Equalization and Far-End Crosstalk Cancellation for Backplane Channels

Author(s): Cosimo Aprile, Alessandro Cevrero, Pier Andrea Francese, Christian Menolfi, Matthias Braendli, Marcel Kossel, Thomas Morf, Lukas Kull, Ilter Oezkaya, Yusuf Leblebici, Volkan Cevher, Thomas Toifl
Published in: IEEE Journal of Solid-State Circuits, Issue 53/3, 2018, Page(s) 861-872, ISSN 0018-9200
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jssc.2017.2783679

Optimal rates for spectral algorithms with least-squares regression over Hilbert spaces

Author(s): Junhong Lin, Alessandro Rudi, Lorenzo Rosasco, Volkan Cevher
Published in: Applied and Computational Harmonic Analysis, 2018, ISSN 1063-5203
Publisher: Academic Press
DOI: 10.1016/j.acha.2018.09.009

Chemical machine learning with kernels: The impact of loss functions

Author(s): Quang Van Nguyen, Sandip De, Junhong Lin, Volkan Cevher
Published in: International Journal of Quantum Chemistry, Issue 119/9, 2019, Page(s) e25872, ISSN 0020-7608
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/qua.25872

Convergences of Regularized Algorithms and Stochastic Gradient Methods with Random Projections

Author(s): J. Lin, V. Cevher
Published in: The Journal of Machine Learning Research (JMLR), Issue Volume 21, 2020, Page(s) 1−44, ISSN 1533-7928
Publisher: Microtome Publishing

An adaptive primal-dual framework for nonsmooth convex minimization

Author(s): Quoc Tran-Dinh, Ahmet Alacaoglu, Olivier Fercoq, Volkan Cevher
Published in: Mathematical Programming Computation, 2019, ISSN 1867-2949
Publisher: Springer Verlag
DOI: 10.1007/s12532-019-00173-3

Streaming Low-Rank Matrix Approximation with an Application to Scientific Simulation

Author(s): Joel A. Tropp, Alp Yurtsever, Madeleine Udell, Volkan Cevher
Published in: SIAM Journal on Scientific Computing, Issue 41/4, 2019, Page(s) A2430-A2463, ISSN 1064-8275
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1201068

A 16-Channel Neural Recording System-on-Chip with CHT Feature Extraction Processor in 65nm CMOS

Author(s): Arda Uran, Kerim Ture, Cosimo Aprile, Alix Trouillet, Florian Fallegger, Emilie C. M. Revol, Azita Emami, Stephanie P. Lacour, Catherine Dehollain, Yusuf Leblebici,Volkan Cevher
Published in: IEEE Journal of Solid-State Circuits, 2022, ISSN 0018-9200
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/jssc.2022.3161296

Intellectual Property Rights

Patent (3)

SIGNAL SAMPLING WITH JOINT TRAINING OF LEARNABLE PRIORS FOR SAMPLING OPERATOR AND DECODER

Application/Publication number: 18 191494
Date: 2018-08-29

SIGNAL SAMPLING WITH JOINT TRAINING OF LEARNABLE PRIORS FOR SAMPLING OPERATOR AND DECODER

Application/Publication number: 18 191494
Date: 2018-08-29

SIGNAL SAMPLING WITH JOINT TRAINING OF LEARNABLE PRIORS FOR SAMPLING OPERATOR AND DECODER

Application/Publication number: 18 191494
Date: 2018-08-29