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Journal Articles
- 2024
- [j70]Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai:
Temporal network compression via network hashing. Appl. Netw. Sci. 9(1): 3 (2024) - [j69]Ayoub Belhadji, Rémi Gribonval:
Sketch and shift: a robust decoder for compressive clustering. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [j68]Titouan Vayer, Rémi Gribonval:
Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning. J. Mach. Learn. Res. 24: 149:1-149:51 (2023) - [j67]Quoc-Tung Le, Elisa Riccietti
, Rémi Gribonval
:
Spurious Valleys, NP-Hardness, and Tractability of Sparse Matrix Factorization with Fixed Support. SIAM J. Matrix Anal. Appl. 44(2): 503-529 (2023) - [j66]Léon Zheng, Elisa Riccietti
, Rémi Gribonval
:
Efficient Identification of Butterfly Sparse Matrix Factorizations. SIAM J. Math. Data Sci. 5(1): 22-49 (2023) - [j65]Antoine Gonon
, Nicolas Brisebarre
, Rémi Gribonval
, Elisa Riccietti
:
Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond. IEEE Trans. Inf. Theory 69(6): 3960-3977 (2023) - [j64]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
On the Statistical Complexity of Estimation and Testing under Privacy Constraints. Trans. Mach. Learn. Res. 2023 (2023) - [j63]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
About the Cost of Central Privacy in Density Estimation. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j62]Barbara Pascal
, Patrice Abry
, Nelly Pustelnik
, Stéphane G. Roux, Rémi Gribonval
, Patrick Flandrin:
Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data. IEEE Trans. Signal Process. 70: 2859-2868 (2022) - 2021
- [j61]Rémi Gribonval
, Antoine Chatalic
, Nicolas Keriven, Vincent Schellekens
, Laurent Jacques
, Philip Schniter
:
Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Process. Mag. 38(5): 12-36 (2021) - [j60]Clément Gaultier
, Srdan Kitic, Rémi Gribonval
, Nancy Bertin
:
Sparsity-Based Audio Declipping Methods: Selected Overview, New Algorithms, and Large-Scale Evaluation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1174-1187 (2021) - 2020
- [j59]Rémi Gribonval, Mila Nikolova:
A Characterization of Proximity Operators. J. Math. Imaging Vis. 62(6-7): 773-789 (2020) - 2019
- [j58]Ivan Dokmanic
, Rémi Gribonval:
Concentration of the Frobenius Norm of Generalized Matrix Inverses. SIAM J. Matrix Anal. Appl. 40(1): 92-121 (2019) - [j57]Cássio Fraga Dantas
, Rémi Gribonval
:
Stable Safe Screening and Structured Dictionaries for Faster ℓ1 Regularization. IEEE Trans. Signal Process. 67(14): 3756-3769 (2019) - [j56]Evan Byrne, Antoine Chatalic
, Rémi Gribonval
, Philip Schniter
:
Sketched Clustering via Hybrid Approximate Message Passing. IEEE Trans. Signal Process. 67(17): 4556-4569 (2019) - 2018
- [j55]Marwa Chafii
, Jacques Palicot, Rémi Gribonval, Faouzi Bader
:
Adaptive Wavelet Packet Modulation. IEEE Trans. Commun. 66(7): 2947-2957 (2018) - [j54]Luc Le Magoarou
, Rémi Gribonval, Nicolas Tremblay
:
Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Trans. Signal Inf. Process. over Networks 4(2): 407-420 (2018) - 2017
- [j53]Hanna Becker, Laurent Albera, Pierre Comon, Jean-Claude Nunes
, Rémi Gribonval, Julien Fleureau, Philippe Guillotel, Isabelle Merlet
:
SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity. NeuroImage 157: 157-172 (2017) - [j52]Gilles Puy
, Mike E. Davies, Rémi Gribonval:
Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝm. IEEE Trans. Inf. Theory 63(4): 2171-2187 (2017) - 2016
- [j51]Michael B. Wakin, Rémi Gribonval, Visa Koivunen, Justin K. Romberg, John Wright:
Introduction to the Issue on Structured Matrices in Signal and Data Processing. IEEE J. Sel. Top. Signal Process. 10(4): 605-607 (2016) - [j50]Luc Le Magoarou
, Rémi Gribonval:
Flexible Multilayer Sparse Approximations of Matrices and Applications. IEEE J. Sel. Top. Signal Process. 10(4): 688-700 (2016) - [j49]Marwa Chafii
, Jacques Palicot, Rémi Gribonval, Faouzi Bader:
A Necessary Condition for Waveforms With Better PAPR Than OFDM. IEEE Trans. Commun. 64(8): 3395-3405 (2016) - [j48]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Learning Co-Sparse Analysis Operators With Separable Structures. IEEE Trans. Signal Process. 64(1): 120-130 (2016) - [j47]Srdan Kitic, Laurent Albera, Nancy Bertin, Rémi Gribonval:
Physics-Driven Inverse Problems Made Tractable With Cosparse Regularization. IEEE Trans. Signal Process. 64(2): 335-348 (2016) - 2015
- [j46]Anthony Bourrier, Florent Perronnin, Rémi Gribonval, Patrick Pérez, Hervé Jégou:
Explicit Embeddings for Nearest Neighbor Search with Mercer Kernels. J. Math. Imaging Vis. 52(3): 459-468 (2015) - [j45]Hanna Becker, Laurent Albera, Pierre Comon, Rémi Gribonval, Fabrice Wendling, Isabelle Merlet
:
Brain-Source Imaging: From sparse to tensor models. IEEE Signal Process. Mag. 32(6): 100-112 (2015) - [j44]Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert:
Sample Complexity of Dictionary Learning and Other Matrix Factorizations. IEEE Trans. Inf. Theory 61(6): 3469-3486 (2015) - [j43]Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach:
Sparse and Spurious: Dictionary Learning With Noise and Outliers. IEEE Trans. Inf. Theory 61(11): 6298-6319 (2015) - [j42]Antoine Bonnefoy, Valentin Emiya
, Liva Ralaivola, Rémi Gribonval:
Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso. IEEE Trans. Signal Process. 63(19): 5121-5132 (2015) - 2014
- [j41]Marwa Chafii
, Jacques Palicot, Rémi Gribonval:
Closed-form approximations of the peak-to-average power ratio distribution for multi-carrier modulation and their applications. EURASIP J. Adv. Signal Process. 2014: 121 (2014) - [j40]Emmanuel Vincent, Nancy Bertin, Rémi Gribonval, Frédéric Bimbot:
From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound. IEEE Signal Process. Mag. 31(3): 107-115 (2014) - [j39]Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval:
Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. IEEE Trans. Inf. Theory 60(12): 7928-7946 (2014) - [j38]Alexis Benichoux, Laurent S. R. Simon
, Emmanuel Vincent, Rémi Gribonval:
Convex Regularizations for the Simultaneous Recording of Room Impulse Responses. IEEE Trans. Signal Process. 62(8): 1976-1986 (2014) - [j37]Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet:
Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity. IEEE Trans. Signal Process. 62(18): 4847-4856 (2014) - 2013
- [j36]Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval:
Spatial location priors for Gaussian model based reverberant audio source separation. EURASIP J. Adv. Signal Process. 2013: 149 (2013) - [j35]Rémi Gribonval, Morten Nielsen
:
The restricted isometry property meets nonlinear approximation with redundant frames. J. Approx. Theory 165(1): 1-19 (2013) - [j34]Charles Soussen
, Rémi Gribonval, Jérôme Idier, Cédric Herzet:
Joint k-Step Analysis of Orthogonal Matching Pursuit and Orthogonal Least Squares. IEEE Trans. Inf. Theory 59(5): 3158-3174 (2013) - [j33]Cédric Herzet, Charles Soussen
, Jérôme Idier, Rémi Gribonval:
Exact Recovery Conditions for Sparse Representations With Partial Support Information. IEEE Trans. Inf. Theory 59(11): 7509-7524 (2013) - [j32]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Trans. Signal Process. 61(9): 2341-2355 (2013) - 2012
- [j31]Gilles Puy, Pierre Vandergheynst
, Rémi Gribonval, Yves Wiaux
:
Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques. EURASIP J. Adv. Signal Process. 2012: 6 (2012) - [j30]Vincent Vigneron
, Vicente Zarzoso, Rémi Gribonval, Emmanuel Vincent:
Latent variable analysis and signal separation. Signal Process. 92(8): 1765-1766 (2012) - [j29]Simon Arberet, Alexey Ozerov, Frédéric Bimbot, Rémi Gribonval:
A tractable framework for estimating and combining spectral source models for audio source separation. Signal Process. 92(8): 1886-1901 (2012) - [j28]Amir Adler
, Valentin Emiya
, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley
:
Audio Inpainting. IEEE Trans. Speech Audio Process. 20(3): 922-932 (2012) - [j27]Rémi Gribonval, Volkan Cevher
, Mike E. Davies:
Compressible Distributions for High-Dimensional Statistics. IEEE Trans. Inf. Theory 58(8): 5016-5034 (2012) - 2011
- [j26]Boris Mailhé, Rémi Gribonval, Pierre Vandergheynst
, Frédéric Bimbot:
Fast orthogonal sparse approximation algorithms over local dictionaries. Signal Process. 91(12): 2822-2835 (2011) - [j25]Rémi Gribonval:
Should Penalized Least Squares Regression be Interpreted as Maximum A Posteriori Estimation? IEEE Trans. Signal Process. 59(5): 2405-2410 (2011) - 2010
- [j24]Mark D. Plumbley
, Thomas Blumensath
, Laurent Daudet, Rémi Gribonval, Mike E. Davies:
Sparse Representations in Audio and Music: From Coding to Source Separation. Proc. IEEE 98(6): 995-1005 (2010) - [j23]Matthieu Kowalski, Emmanuel Vincent, Rémi Gribonval:
Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation. IEEE Trans. Speech Audio Process. 18(7): 1818-1829 (2010) - [j22]Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval:
Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model. IEEE Trans. Speech Audio Process. 18(7): 1830-1840 (2010) - [j21]Rémi Gribonval, Karin Schnass
:
Dictionary identification: sparse matrix-factorization via l1-minimization. IEEE Trans. Inf. Theory 56(7): 3523-3539 (2010) - [j20]Anna Llagostera Casanovas, Gianluca Monaci, Pierre Vandergheynst
, Rémi Gribonval:
Blind Audiovisual Source Separation Based on Sparse Redundant Representations. IEEE Trans. Multim. 12(5): 358-371 (2010) - [j19]Simon Arberet, Rémi Gribonval, Frédéric Bimbot:
A robust method to count and locate audio sources in a multichannel underdetermined mixture. IEEE Trans. Signal Process. 58(1): 121-133 (2010) - 2009
- [j18]Gilles Gonon, Frédéric Bimbot, Rémi Gribonval:
Probabilistic scoring using decision trees for fast and scalable speaker recognition. Speech Commun. 51(11): 1065-1081 (2009) - [j17]Michael Evan Davies, Rémi Gribonval:
Restricted isometry constants where lpsparse recovery can fail for 0 < p <= 1. IEEE Trans. Inf. Theory 55(5): 2203-2214 (2009) - 2008
- [j16]Rémi Gribonval, Morten Nielsen
:
Beyond sparsity: Recovering structured representations by l1{\ell}^1 minimization and greedy algorithms. Adv. Comput. Math. 28(1): 23-41 (2008) - 2007
- [j15]Emmanuel Vincent, Rémi Gribonval, Mark D. Plumbley
:
Oracle estimators for the benchmarking of source separation algorithms. Signal Process. 87(8): 1933-1950 (2007) - [j14]Alexey Ozerov, Pierrick Philippe, Frédéric Bimbot, Rémi Gribonval:
Adaptation of Bayesian Models for Single-Channel Source Separation and its Application to Voice/Music Separation in Popular Songs. IEEE Trans. Speech Audio Process. 15(5): 1564-1578 (2007) - [j13]Gianluca Monaci, Philippe Jost, Pierre Vandergheynst, Boris Mailhé, Sylvain Lesage, Rémi Gribonval:
Learning Multimodal Dictionaries. IEEE Trans. Image Process. 16(9): 2272-2283 (2007) - 2006
- [j12]Rémi Gribonval, Morten Nielsen
:
Sparse approximations in signal and image processing. Signal Process. 86(3): 415-416 (2006) - [j11]Rémi Gribonval, Rosa M. Figueras i Ventura, Pierre Vandergheynst:
A simple test to check the optimality of a sparse signal approximation. Signal Process. 86(3): 496-510 (2006) - [j10]Laurent Benaroya, Frédéric Bimbot, Guillaume Gravier, Rémi Gribonval:
Experiments in audio source separation with one sensor for robust speech recognition. Speech Commun. 48(7): 848-854 (2006) - [j9]Laurent Benaroya, Frédéric Bimbot, Rémi Gribonval:
Audio source separation with a single sensor. IEEE Trans. Speech Audio Process. 14(1): 191-199 (2006) - [j8]Emmanuel Vincent, Rémi Gribonval, Cédric Févotte:
Performance measurement in blind audio source separation. IEEE Trans. Speech Audio Process. 14(4): 1462-1469 (2006) - [j7]Rémi Gribonval, Pierre Vandergheynst
:
On the exponential convergence of matching pursuits in quasi-incoherent dictionaries. IEEE Trans. Inf. Theory 52(1): 255-261 (2006) - 2005
- [j6]Rémi Gribonval:
From projection pursuit and CART to adaptive discriminant analysis? IEEE Trans. Neural Networks 16(3): 522-532 (2005) - 2003
- [j5]Rémi Gribonval, Morten Nielsen
:
Sparse representations in unions of bases. IEEE Trans. Inf. Theory 49(12): 3320-3325 (2003) - [j4]Rémi Gribonval, Emmanuel Bacry:
Harmonic decomposition of audio signals with matching pursuit. IEEE Trans. Signal Process. 51(1): 101-111 (2003) - 2001
- [j3]Rémi Gribonval, Morten Nielsen
:
Approximate Weak Greedy Algorithms. Adv. Comput. Math. 14(4): 361-378 (2001) - [j2]Rémi Gribonval:
A Counter-Example to the General Convergence of Partially Greedy Algorithms. J. Approx. Theory 111(1): 128-138 (2001) - [j1]Rémi Gribonval:
Fast matching pursuit with a multiscale dictionary of Gaussian chirps. IEEE Trans. Signal Process. 49(5): 994-1001 (2001)
Conference and Workshop Papers
- 2024
- [c122]Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval:
A path-norm toolkit for modern networks: consequences, promises and challenges. ICLR 2024 - [c121]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows. ICML 2024 - 2023
- [c120]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Self-supervised learning with rotation-invariant kernels. ICLR 2023 - [c119]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
Private Statistical Estimation of Many Quantiles. ICML 2023: 18399-18418 - [c118]Quoc-Tung Le, Rémi Gribonval, Elisa Riccietti:
Does a sparse ReLU network training problem always admit an optimum ? NeurIPS 2023 - [c117]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Abide by the law and follow the flow: conservation laws for gradient flows. NeurIPS 2023 - 2022
- [c116]Quoc-Tung Le, Léon Zheng, Elisa Riccietti, Rémi Gribonval:
Fast Learning of Fast Transforms, with Guarantees. ICASSP 2022: 3348-3352 - [c115]Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves:
Fast Multiscale Diffusion On Graphs. ICASSP 2022: 5627-5631 - 2021
- [c114]Quoc-Tung Le, Rémi Gribonval:
Structured Support Exploration for Multilayer Sparse Matrix Factorization. ICASSP 2021: 3245-3249 - [c113]Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin:
Training with Quantization Noise for Extreme Model Compression. ICLR 2021 - [c112]Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, Titouan Vayer:
Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. ICTAI 2021: 786-790 - 2020
- [c111]Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS 2020: 2131-2141 - [c110]Diego Di Carlo, Clement Elvira, Antoine Deleforge, Nancy Bertin, Rémi Gribonval:
Blaster: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval. ICASSP 2020: 156-160 - [c109]Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic
:
Fast Optical System Identification by Numerical Interferometry. ICASSP 2020: 1474-1478 - [c108]Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou:
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. ICLR 2020 - [c107]Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, Rémi Gribonval:
Graph Diffusion Wasserstein Distances. ECML/PKDD (2) 2020: 577-592 - 2019
- [c106]Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval:
Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising. EUSIPCO 2019: 1-5 - [c105]Clément Elvira
, Rémi Gribonval, Charles Soussen, Cédric Herzet:
OMP and Continuous Dictionaries: Is k-step Recovery Possible? ICASSP 2019: 5546-5550 - [c104]Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval:
Differentially Private Compressive K-means. ICASSP 2019: 7933-7937 - [c103]Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou:
Equi-normalization of Neural Networks. ICLR (Poster) 2019 - [c102]Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic:
Don't take it lightly: Phasing optical random projections with unknown operators. NeurIPS 2019: 14826-14836 - [c101]Cássio Fraga Dantas
, Jérémy E. Cohen, Rémi Gribonval:
Hyperspectral Image Denoising using Dictionary Learning. WHISPERS 2019: 1-5 - 2018
- [c100]Himalaya Jain
, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
Learning a Complete Image Indexing Pipeline. CVPR 2018: 4933-4941 - [c99]Cássio Fraga Dantas
, Jérémy E. Cohen, Rémi Gribonval:
Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions. LVA/ICA 2018: 456-466 - [c98]Clément Gaultier
, Nancy Bertin, Rémi Gribonval:
Cascade: Channel-Aware Structured Cosparse Audio Declipper. ICASSP 2018: 571-575 - [c97]Cássio Fraga Dantas
, Rémi Gribonval:
Faster and Still Safe: Combining Screening Techniques and Structured Dictionaries to Accelerate the Lasso. ICASSP 2018: 4069-4073 - [c96]Antoine Chatalic, Rémi Gribonval, Nicolas Keriven
:
Large-Scale High-Dimensional Clustering with Fast Sketching. ICASSP 2018: 4714-4718 - [c95]Marwa Chafii
, Jacques Palicot, Rémi Gribonval, Faouzi Bader:
Fourier Based Adaptive Waveform. ICT 2018: 37-41 - [c94]Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval:
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval. NeurIPS 2018: 2186-2196 - 2017
- [c93]Ferran Argelaguet, Melanie Ducoffe, Anatole Lécuyer, Rémi Gribonval:
Spatial and rotation invariant 3D gesture recognition based on sparse representation. 3DUI 2017: 158-167 - [c92]Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval:
Analyzing the approximation error of the fast graph Fourier transform. ACSSC 2017: 45-49 - [c91]Evan Byrne, Rémi Gribonval, Philip Schniter:
Sketched clustering via hybrid approximate message passing. ACSSC 2017: 410-414 - [c90]Clément Gaultier, Srdan Kitic, Nancy Bertin, Rémi Gribonval:
AUDASCITY: AUdio denoising by adaptive social CosparsITY. EUSIPCO 2017: 1265-1269 - [c89]Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval:
Compressive K-means. ICASSP 2017: 6369-6373 - [c88]Himalaya Jain
, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
SuBiC: A Supervised, Structured Binary Code for Image Search. ICCV 2017: 833-842 - [c87]Saman Noorzadeh
, Pierre Maurel
, Thomas Oberlin, Rémi Gribonval, Christian Barillot:
Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints. MICCAI (1) 2017: 442-450 - 2016
- [c86]Himalaya Jain
, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou:
Approximate Search with Quantized Sparse Representations. ECCV (7) 2016: 681-696 - [c85]Marwa Chafii
, Jacques Palicot, Rémi Gribonval, Alister G. Burr
:
Power spectral density limitations of the wavelet-OFDM system. EUSIPCO 2016: 1428-1432 - [c84]Thibault Nowakowski, Nancy Bertin, Rémi Gribonval, Julien de Rosny, Laurent Daudet:
Membrane shape and boundary conditions estimation using eigenmode decomposition. ICASSP 2016: 3336-3340 - [c83]Nicolas Tremblay, Gilles Puy, Pierre Borgnat
, Rémi Gribonval, Pierre Vandergheynst:
Accelerated spectral clustering using graph filtering of random signals. ICASSP 2016: 4094-4098 - [c82]Luc Le Magoarou, Rémi Gribonval:
Are there approximate fast fourier transforms on graphs? ICASSP 2016: 4811-4815 - [c81]Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez:
Sketching for large-scale learning of mixture models. ICASSP 2016: 6190-6194 - [c80]Nancy Bertin, Srdan Kitic, Rémi Gribonval:
Joint estimation of sound source location and boundary impedance with physics-driven cosparse regularization. ICASSP 2016: 6340-6344 - [c79]Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst:
Compressive Spectral Clustering. ICML 2016: 1002-1011 - [c78]Yann Traonmilin, Rémi Gribonval:
A framework for low-complexity signal recovery and its application to structured sparsity. ITW 2016: 156-160 - [c77]Marwa Chafii
, Mamadou Lamarana Diallo, Jacques Palicot, Faouzi Bader, Rémi Gribonval:
Adaptive Tone Reservation for Better BER Performance in a Frequency Selective Fading Channel. VTC Spring 2016: 1-3 - 2015
- [c76]Hanna Becker, Ahmad Karfoul, Laurent Albera, Rémi Gribonval, Julien Fleureau, Philippe Guillotel, Amar Kachenoura, Lotfi Senhadji
, Isabelle Merlet
:
Tensor decomposition exploiting structural constraints for brain source imaging. CAMSAP 2015: 181-184 - [c75]Laurent Albera, Hanna Becker, Ahmad Karfoul, Rémi Gribonval, Amar Kachenoura, Siouar Bensaid, Lotfi Senhadji
, Alfredo I. Hernández, Isabelle Merlet
:
Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data. EMBC 2015: 6995-6998 - [c74]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Linear embeddings of low-dimensional subsets of a Hilbert space to Rm. EUSIPCO 2015: 469-473 - [c73]Thomas Oberlin, Christian Barillot, Rémi Gribonval, Pierre Maurel
:
Symmetrical EEG-FMRI imaging by sparse regularization. EUSIPCO 2015: 1870-1874 - [c72]Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort
:
FAμST: Speeding up linear transforms for tractable inverse problems. EUSIPCO 2015: 2516-2520 - [c71]Srdan Kitic, Nancy Bertin, Rémi Gribonval:
Sparsity and Cosparsity for Audio Declipping: A Flexible Non-convex Approach. LVA/ICA 2015: 243-250 - [c70]Luc Le Magoarou
, Rémi Gribonval:
Chasing butterflies: In search of efficient dictionaries. ICASSP 2015: 3287-3291 - 2014
- [c69]Antoine Bonnefoy, Valentin Emiya, Liva Ralaivola, Rémi Gribonval:
A dynamic screening principle for the Lasso. EUSIPCO 2014: 6-10 - [c68]Hanna Becker, Laurent Albera, Pierre Comon, Rémi Gribonval, Isabelle Merlet:
Fast, variation-based methods for the analysis of extended brain sources. EUSIPCO 2014: 41-45 - [c67]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Separable cosparse Analysis Operator learning. EUSIPCO 2014: 770-774 - [c66]Marwa Chafii, Jacques Palicot, Rémi Gribonval:
Closed-form approximations of the PAPR distribution for Multi-Carrier Modulation systems. EUSIPCO 2014: 1920-1924 - [c65]Valentin Emiya
, Antoine Bonnefoy, Laurent Daudet, Rémi Gribonval:
Compressed sensing with unknown sensor permutation. ICASSP 2014: 1040-1044 - [c64]Srdan Kitic, Nancy Bertin, Rémi Gribonval:
Hearing behind walls: Localizing sources in the room next door with cosparsity. ICASSP 2014: 3087-3091 - [c63]Hanna Becker, Laurent Albera, Pierre Comon, Rémi Gribonval, Fabrice Wendling, Isabelle Merlet
:
A performance study of various brain source imaging approaches. ICASSP 2014: 5869-5873 - [c62]Andreas M. Tillmann
, Rémi Gribonval, Marc E. Pfetsch
:
Projection onto the cosparse set is NP-hard. ICASSP 2014: 7148-7152 - [c61]Marwa Chafii
, Jacques Palicot, Rémi Gribonval:
A PAPR upper bound of generalized waveforms for multi-carrier modulation systems. ISCCSP 2014: 461-464 - [c60]Laurent Albera, Srdan Kitic, Nancy Bertin, Gilles Puy, Rémi Gribonval:
Brain source localization using a physics-driven structured cosparse representation of EEG signals. MLSP 2014: 1-6 - [c59]Matthias Seibert, Martin Kleinsteuber, Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach:
On the sample complexity of sparse dictionary learning. SSP 2014: 244-247 - 2013
- [c58]Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet:
Blind phase calibration in sparse recovery. EUSIPCO 2013: 1-5 - [c57]Tomer Peleg, Rémi Gribonval, Mike E. Davies:
Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries. EUSIPCO 2013: 1-5 - [c56]Anthony Bourrier, Rémi Gribonval, Patrick Pérez:
Compressive Gaussian Mixture estimation. ICASSP 2013: 6024-6028 - [c55]Alexis Benichoux, Emmanuel Vincent, Rémi Gribonval:
A fundamental pitfall in blind deconvolution with sparse and shift-invariant priors. ICASSP 2013: 6108-6112 - [c54]Hao Shen, Martin Kleinsteuber, Cagdas Bilen, Rémi Gribonval:
A conjugate gradient algorithm for blind sensor calibration in sparse recovery. MLSP 2013: 1-5 - [c53]Rémi Gribonval, Pierre Machart:
Reconciling "priors" & "priors" without prejudice? NIPS 2013: 2193-2201 - 2012
- [c52]Alexis Benichoux, Prasad Sudhakar, Frédéric Bimbot, Rémi Gribonval:
Some Uniqueness Results in Sparse Convolutive Source Separation. LVA/ICA 2012: 196-203 - [c51]Nikolaos Stefanakis, Jacques Marchal, Valentin Emiya, Nancy Bertin, Rémi Gribonval, Pierre Cervenka
:
Sparse underwater acoustic imaging: A case study. ICASSP 2012: 2509-2512 - [c50]Rémi Gribonval, Gilles Chardon
, Laurent Daudet:
Blind calibration for compressed sensing by convex optimization. ICASSP 2012: 2713-2716 - [c49]Sangnam Nam, Rémi Gribonval:
Physics-driven structured cosparse modeling for source localization. ICASSP 2012: 5397-5400 - [c48]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Michael E. Davies:
Noise aware analysis operator learning for approximately cosparse signals. ICASSP 2012: 5409-5412 - 2011
- [c47]Bob L. Sturm, Mads Græsbøll Christensen
, Rémi Gribonval:
Cyclic pure greedy algorithms for recovering compressively sampled sparse signals. ACSCC 2011: 1143-1147 - [c46]Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval:
Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise. CAMSAP 2011: 361-364 - [c45]Raja Giryes, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Iterative cosparse projection algorithms for the recovery of cosparse vectors. EUSIPCO 2011: 1460-1464 - [c44]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Analysis operator learning for overcomplete cosparse representations. EUSIPCO 2011: 1470-1474 - [c43]Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval:
An acoustically-motivated spatial prior for under-determined reverberant source separation. ICASSP 2011: 9-12 - [c42]Ngoc Q. K. Duong, Hideyuki Tachibana
, Emmanuel Vincent, Nobutaka Ono
, Rémi Gribonval, Shigeki Sagayama:
Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity. ICASSP 2011: 205-208 - [c41]Amir Adler
, Valentin Emiya
, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley
:
A constrained matching pursuit approach to audio declipping. ICASSP 2011: 329-332 - [c40]Simon Arberet, Prasad Sudhakar, Rémi Gribonval:
A wideband doubly-sparse approach for MITO sparse filter estimation. ICASSP 2011: 2876-2879 - [c39]Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval:
Cosparse analysis modeling - uniqueness and algorithms. ICASSP 2011: 5804-5807 - [c38]Alexis Benichoux, Emmanuel Vincent, Rémi Gribonval:
A compressed sensing approach to the simultaneous recording of multiple room impulse responses. WASPAA 2011: 285-288 - 2010
- [c37]Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval:
Under-Determined Reverberant Audio Source Separation Using Local Observed Covariance and Auditory-Motivated Time-Frequency Representation. LVA/ICA 2010: 73-80 - [c36]Nobutaka Ito, Emmanuel Vincent, Nobutaka Ono, Rémi Gribonval, Shigeki Sagayama:
Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays. LVA/ICA 2010: 81-88 - [c35]Prasad Sudhakar, Simon Arberet, Rémi Gribonval:
Double Sparsity: Towards Blind Estimation of Multiple Channels. LVA/ICA 2010: 571-578 - [c34]Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval:
Under-determined convolutive blind source separation using spatial covariance models. ICASSP 2010: 9-12 - [c33]Florent Jaillet
, Rémi Gribonval, Mark D. Plumbley
, Hadi Zayyani:
An L1 criterion for dictionary learning by subspace identification. ICASSP 2010: 5482-5485 - [c32]Simon Arberet, Alexey Ozerov, Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval, Frédéric Bimbot, Pierre Vandergheynst:
Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation. ISSPA 2010: 1-4 - 2009
- [c31]Boris Mailhé, Rémi Gribonval, Frédéric Bimbot, Mathieu Lemay
, Pierre Vandergheynst, Jean-Marc Vesin:
Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals. ICASSP 2009: 465-468 - [c30]Farid M. Naini, Rémi Gribonval, Laurent Jacques
, Pierre Vandergheynst:
Compressive sampling of pulse trains: Spread the spectrum! ICASSP 2009: 2877-2880 - [c29]Boris Mailhé, Rémi Gribonval, Frédéric Bimbot, Pierre Vandergheynst:
A low complexity Orthogonal Matching Pursuit for sparse signal approximation with shift-invariant dictionaries. ICASSP 2009: 3445-3448 - [c28]Prasad Sudhakar, Rémi Gribonval:
A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation. ICA 2009: 338-345 - [c27]Simon Arberet, Alexey Ozerov, Rémi Gribonval, Frédéric Bimbot:
Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation. ICA 2009: 751-758 - [c26]Emmanuel Vincent, Simon Arberet, Rémi Gribonval:
Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling. ICA 2009: 775-782 - [c25]Valentin Emiya
, Emmanuel Vincent, Rémi Gribonval:
An investigation of discrete-state discriminant approaches to single-sensor source separation. WASPAA 2009: 97-100 - [c24]Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval:
Spatial covariance models for under-determined reverberant audio source separation. WASPAA 2009: 129-132 - 2008
- [c23]Rémi Gribonval, Karin Schnass:
Dictionary identifiability from few training samples. EUSIPCO 2008: 1-5 - [c22]Matthieu Kowalski, Emmanuel Vincent, Rémi Gribonval:
Under-determined source separation via mixed-norm regularized minimization. EUSIPCO 2008: 1-5 - [c21]Boris Mailhé, Sylvain Lesage, Rémi Gribonval, Frédéric Bimbot, Pierre Vandergheynst:
Shift-invariant dictionary learning for sparse representations: Extending K-SVD. EUSIPCO 2008: 1-5 - [c20]Anna Llagostera Casanovas, Gianluca Monaci, Pierre Vandergheynst, Rémi Gribonval:
Blind audiovisual separation based on redundant representations. ICASSP 2008: 1841-1844 - 2007
- [c19]Simon Arberet, Rémi Gribonval, Frédéric Bimbot:
A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Anechoic Mixture. ICASSP (3) 2007: 745-748 - [c18]Rémi Gribonval, Boris Mailhé, Holger Rauhut
, Karin Schnass
, Pierre Vandergheynst:
Average Case Analysis of Multichannel Thresholding. ICASSP (2) 2007: 853-856 - 2006
- [c17]Rémi Gribonval, Sylvain Lesage:
A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges. ESANN 2006: 323-330 - [c16]Simon Arberet, Rémi Gribonval, Frédéric Bimbot:
A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Instantaneous Mixture. ICA 2006: 536-543 - [c15]Sylvain Lesage, Sacha Krstulovic
, Rémi Gribonval:
Under-Determined Source Separation: Comparison of Two Approaches Based on Sparse Decompositions. ICA 2006: 633-640 - [c14]Sacha Krstulovic, Rémi Gribonval:
Mptk: Matching Pursuit Made Tractable. ICASSP (3) 2006: 496-499 - [c13]Philippe Jost, Pierre Vandergheynst, Sylvain Lesage, Rémi Gribonval:
MoTIF: An Efficient Algorithm for Learning Translation Invariant Dictionaries. ICASSP (5) 2006: 857-860 - [c12]Gianluca Monaci, Philippe Jost, Pierre Vandergheynst, Boris Mailhé, Sylvain Lesage, Rémi Gribonval:
Learning Multi-modal Dictionaries: Application to Audiovisual Data. MRCS 2006: 538-545 - 2005
- [c11]Lasse Borup, Morten Nielsen
, Rémi Gribonval:
Nonlinear approximation with redundant dictionaries. ICASSP (4) 2005: 261-264 - [c10]Sylvain Lesage, Rémi Gribonval, Frédéric Bimbot, Laurent Benaroya:
Learning unions of orthonormal bases with thresholded singular value decomposition. ICASSP (5) 2005: 293-296 - [c9]Rémi Gribonval, Rosa M. Figueras i Ventura, Pierre Vandergheynst:
A simple test to check the optimality of sparse signal approximations. ICASSP (5) 2005: 717-720 - [c8]Gilles Gonon, Rémi Gribonval, Frédéric Bimbot:
Decision trees with improved efficiency for fast speaker verification. INTERSPEECH 2005: 3077-3080 - 2004
- [c7]Rémi Gribonval, Morten Nielsen:
On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries. ICA 2004: 201-208 - 2003
- [c6]Lorcan Mc Donagh, Frédéric Bimbot, Rémi Gribonval:
A granular approach for the analysis of monophonic audio signals. ICASSP (6) 2003: 469-472 - [c5]Laurent Benaroya, Lorcan Mc Donagh, Frédéric Bimbot, Rémi Gribonval:
Non negative sparse representation for Wiener based source separation with a single sensor. ICASSP (6) 2003: 613-616 - [c4]Rémi Gribonval, Morten Nielsen
:
Sparse decompositions in "incoherent" dictionaries. ICIP (1) 2003: 33-36 - [c3]Laurent Benaroya, Frédéric Bimbot, Guillaume Gravier, Rémi Gribonval:
Audio source separation with one sensor for robust speech recognition. NOLISP 2003: 30 - 2002
- [c2]Rémi Gribonval:
Sparse decomposition of stereo signals with Matching Pursuit and application to blind separation of more than two sources from a stereo mixture. ICASSP 2002: 3057-3060 - 1996
- [c1]Rémi Gribonval, Philippe Depalle, Xavier Rodet, Emmanuel Bacry, Stéphane Mallat:
Sound Signals Decomposition Using a High Resolution Matching Pursuit. ICMC 1996
Editorship
- 2010
- [e1]Vincent Vigneron
, Vicente Zarzoso, Eric Moreau, Rémi Gribonval, Emmanuel Vincent:
Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings. Lecture Notes in Computer Science 6365, Springer 2010, ISBN 978-3-642-15994-7 [contents]
Informal and Other Publications
- 2024
- [i81]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows. CoRR abs/2405.12888 (2024) - [i80]Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval:
Path-metrics, pruning, and generalization. CoRR abs/2405.15006 (2024) - 2023
- [i79]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
Private Statistical Estimation of Many Quantiles. CoRR abs/2302.06943 (2023) - [i78]Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval:
Does a sparse ReLU network training problem always admit an optimum? CoRR abs/2306.02666 (2023) - [i77]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
About the Cost of Global Privacy in Density Estimation. CoRR abs/2306.14535 (2023) - [i76]Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré:
Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows. CoRR abs/2307.00144 (2023) - [i75]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Butterfly factorization by algorithmic identification of rank-one blocks. CoRR abs/2307.00820 (2023) - [i74]Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai:
Temporal network compression via network hashing. CoRR abs/2307.04890 (2023) - [i73]Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval:
A path-norm toolkit for modern networks: consequences, promises and challenges. CoRR abs/2310.01225 (2023) - [i72]Titouan Vayer, Etienne Lasalle, Rémi Gribonval, Paulo Gonçalves:
Compressive Recovery of Sparse Precision Matrices. CoRR abs/2311.04673 (2023) - [i71]Ayoub Belhadji, Rémi Gribonval:
Revisiting RIP guarantees for sketching operators on mixture models. CoRR abs/2312.05573 (2023) - [i70]Ayoub Belhadji, Rémi Gribonval:
Sketch and shift: a robust decoder for compressive clustering. CoRR abs/2312.09940 (2023) - 2022
- [i69]Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval:
Private Quantiles Estimation in the Presence of Atoms. CoRR abs/2202.08969 (2022) - [i68]Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti:
Approximation speed of quantized vs. unquantized ReLU neural networks and beyond. CoRR abs/2205.11874 (2022) - [i67]Luc Giffon, Rémi Gribonval:
Compressive Clustering with an Optical Processing Unit. CoRR abs/2206.05928 (2022) - [i66]Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval:
Self-supervised learning with rotation-invariant kernels. CoRR abs/2208.00789 (2022) - [i65]Clément Lalanne, Aurélien Garivier, Rémi Gribonval:
On the Statistical Complexity of Estimation and Testing under Privacy Constraints. CoRR abs/2210.02215 (2022) - 2021
- [i64]Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Minibatch optimal transport distances; analysis and applications. CoRR abs/2101.01792 (2021) - [i63]Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves:
Fast Multiscale Diffusion on Graphs. CoRR abs/2104.14652 (2021) - [i62]Pierre Stock, Rémi Gribonval:
An Embedding of ReLU Networks and an Analysis of their Identifiability. CoRR abs/2107.09370 (2021) - [i61]Léon Zheng, Rémi Gribonval, Elisa Riccietti
:
Identifiability in Exact Multilayer Sparse Matrix Factorization. CoRR abs/2110.01230 (2021) - [i60]Léon Zheng, Rémi Gribonval, Elisa Riccietti
:
Identifiability in Exact Two-Layer Sparse Matrix Factorization. CoRR abs/2110.01235 (2021) - [i59]Quoc-Tung Le, Elisa Riccietti
, Rémi Gribonval:
Spurious Valleys, Spurious Minima and NP-hardness of Sparse Matrix Factorization With Fixed Support. CoRR abs/2112.00386 (2021) - [i58]Titouan Vayer, Rémi Gribonval:
Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning. CoRR abs/2112.00423 (2021) - 2020
- [i57]Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin:
Training with Quantization Noise for Extreme Model Compression. CoRR abs/2004.07320 (2020) - [i56]Rémi Gribonval, Gilles Blanchard, Nicolas Keriven
, Yann Traonmilin:
Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling. CoRR abs/2004.08085 (2020) - [i55]Clément Gaultier
, Srdan Kitic, Rémi Gribonval, Nancy Bertin:
Sparsity-based audio declipping methods: overview, new algorithms, and large-scale evaluation. CoRR abs/2005.10228 (2020) - [i54]Rémi Gribonval, Antoine Chatalic, Nicolas Keriven
, Vincent Schellekens, Laurent Jacques, Philip Schniter:
Sketching Datasets for Large-Scale Learning (long version). CoRR abs/2008.01839 (2020) - [i53]Clement Elvira, Jeremy E. Cohen, Cédric Herzet, Rémi Gribonval:
Continuous dictionaries meet low-rank tensor approximations. CoRR abs/2009.06340 (2020) - 2019
- [i52]Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou:
Equi-normalization of Neural Networks. CoRR abs/1902.10416 (2019) - [i51]Clément Elvira, Rémi Gribonval, Charles Soussen, Cédric Herzet:
When does OMP achieve support recovery with continuous dictionaries? CoRR abs/1904.06311 (2019) - [i50]Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer:
Approximation spaces of deep neural networks. CoRR abs/1905.01208 (2019) - [i49]Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic:
Don't take it lightly: Phasing optical random projections with unknown operators. CoRR abs/1907.01703 (2019) - [i48]Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou:
And the Bit Goes Down: Revisiting the Quantization of Neural Networks. CoRR abs/1907.05686 (2019) - [i47]Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty:
Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR abs/1910.04091 (2019) - 2018
- [i46]Nicolas Keriven
, Rémi Gribonval:
Instance Optimal Decoding and the Restricted Isometry Property. CoRR abs/1802.09905 (2018) - [i45]Yann Traonmilin, Samuel Vaiter, Rémi Gribonval:
Is the 1-norm the best convex sparse regularization? CoRR abs/1806.08690 (2018) - [i44]Ivan Dokmanic, Rémi Gribonval:
Concentration of the Frobenius norms of pseudoinverses. CoRR abs/1810.07921 (2018) - [i43]Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval:
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval. CoRR abs/1810.13338 (2018) - [i42]Cássio Fraga Dantas, Rémi Gribonval:
Stable safe screening and structured dictionaries for faster 𝓁1 regularization. CoRR abs/1812.06635 (2018) - 2017
- [i41]Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies:
Compressed sensing in Hilbert spaces. CoRR abs/1702.04917 (2017) - [i40]Rémi Gribonval, Gilles Blanchard, Nicolas Keriven
, Yann Traonmilin:
Compressive Statistical Learning with Random Feature Moments. CoRR abs/1706.07180 (2017) - [i39]Ivan Dokmanic, Rémi Gribonval:
Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms. CoRR abs/1706.08349 (2017) - [i38]Ivan Dokmanic, Rémi Gribonval:
Beyond Moore-Penrose Part II: The Sparse Pseudoinverse. CoRR abs/1706.08701 (2017) - [i37]Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
SUBIC: A supervised, structured binary code for image search. CoRR abs/1708.02932 (2017) - [i36]Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval:
Analyzing the Approximation Error of the Fast Graph Fourier Transform. CoRR abs/1711.00386 (2017) - [i35]Clément Gaultier
, Nancy Bertin, Srdan Kitic, Rémi Gribonval:
A modeling and algorithmic framework for (non)social (co)sparse audio restoration. CoRR abs/1711.11259 (2017) - [i34]Evan Byrne, Rémi Gribonval, Philip Schniter:
Sketched Clustering via Hybrid Approximate Message Passing. CoRR abs/1712.02849 (2017) - [i33]Himalaya Jain
, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval:
Learning a Complete Image Indexing Pipeline. CoRR abs/1712.04480 (2017) - 2016
- [i32]Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst:
Compressive Spectral Clustering. CoRR abs/1602.02018 (2016) - [i31]Nicolas Keriven
, Anthony Bourrier, Rémi Gribonval, Patrick Pérez:
Sketching for Large-Scale Learning of Mixture Models. CoRR abs/1606.02838 (2016) - [i30]Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou:
Approximate search with quantized sparse representations. CoRR abs/1608.03308 (2016) - [i29]Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - [i28]Nicolas Keriven
, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval:
Compressive K-means. CoRR abs/1610.08738 (2016) - [i27]Luc Le Magoarou
, Rémi Gribonval, Nicolas Tremblay:
Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. CoRR abs/1612.04542 (2016) - 2015
- [i26]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Learning Co-Sparse Analysis Operators with Separable Structures. CoRR abs/1503.02398 (2015) - [i25]Srdan Kitic, Nancy Bertin, Rémi Gribonval:
Sparsity and cosparsity for audio declipping: a flexible non-convex approach. CoRR abs/1506.01830 (2015) - [i24]Luc Le Magoarou
, Rémi Gribonval:
Flexible Multi-layer Sparse Approximations of Matrices and Applications. CoRR abs/1506.07300 (2015) - [i23]Gilles Puy, Mike E. Davies, Rémi Gribonval:
Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$. CoRR abs/1509.06947 (2015) - [i22]Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst:
Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR abs/1509.08863 (2015) - [i21]Yann Traonmilin, Rémi Gribonval:
Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all. CoRR abs/1510.00504 (2015) - [i20]Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst:
Random sampling of bandlimited signals on graphs. CoRR abs/1511.05118 (2015) - 2014
- [i19]Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet:
Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit. CoRR abs/1403.4267 (2014) - [i18]Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber:
Separable Cosparse Analysis Operator Learning. CoRR abs/1406.1621 (2014) - [i17]Luc Le Magoarou
, Rémi Gribonval:
Learning computationally efficient dictionaries and their implementation as fast transforms. CoRR abs/1406.5388 (2014) - [i16]Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach:
Sparse and spurious: dictionary learning with noise and outliers. CoRR abs/1407.5155 (2014) - [i15]Laurent Jacques, Christophe De Vleeschouwer, Yannick Boursier, Prasad Sudhakar, C. De Mol, Aleksandra Pizurica, Sandrine Anthoine, Pierre Vandergheynst, Pascal Frossard, Cagdas Bilen, Srdan Kitic, Nancy Bertin, Rémi Gribonval, Nicolas Boumal, Bamdev Mishra, Pierre-Antoine Absil, Rodolphe Sepulchre, Shaun Bundervoet, Colas Schretter, Ann Dooms, Peter Schelkens, Olivier Chabiron, François Malgouyres, Jean-Yves Tourneret, Nicolas Dobigeon, Pierre Chainais, Cédric Richard, Bruno Cornelis, Ingrid Daubechies, David B. Dunson, Marie Danková, Pavel Rajmic, Kévin Degraux, Valerio Cambareri, Bert Geelen, Gauthier Lafruit, Gianluca Setti, Jean-François Determe, Jérôme Louveaux, François Horlin, Angélique Drémeau, Patrick Héas, Cédric Herzet, Vincent Duval, Gabriel Peyré, Alhussein Fawzi, Mike E. Davies, Nicolas Gillis, Stephen A. Vavasis, Charles Soussen, Luc Le Magoarou, Jingwei Liang, Jalal Fadili, Antoine Liutkus, David Martina, Sylvain Gigan, Laurent Daudet, Mauro Maggioni, Stanislav Minsker, Nate Strawn, C. Mory, Fred Maurice Ngolè Mboula, Jean-Luc Starck, Ignace Loris, Samuel Vaiter, Mohammad Golbabaee, Dejan Vukobratovic:
Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR abs/1410.0719 (2014) - [i14]Antoine Bonnefoy, Valentin Emiya
, Liva Ralaivola, Rémi Gribonval:
Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso. CoRR abs/1412.4080 (2014) - 2013
- [i13]Andreas M. Tillmann, Rémi Gribonval, Marc E. Pfetsch:
Projection Onto The k-Cosparse Set is NP-Hard. CoRR abs/1303.5305 (2013) - [i12]Cédric Herzet, Charles Soussen, Jérôme Idier, Rémi Gribonval:
Exact Recovery Conditions for Sparse Representations with Partial Support Information. CoRR abs/1305.4008 (2013) - [i11]Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet:
Convex Optimization Approaches for Blind Sensor Calibration using Sparsity. CoRR abs/1308.5354 (2013) - [i10]Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval:
Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems. CoRR abs/1311.6239 (2013) - [i9]Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert:
Sample Complexity of Dictionary Learning and other Matrix Factorizations. CoRR abs/1312.3790 (2013) - 2012
- [i8]Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies:
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. CoRR abs/1205.4133 (2012) - [i7]Rodolphe Jenatton, Rémi Gribonval, Francis R. Bach:
Local stability and robustness of sparse dictionary learning in the presence of noise. CoRR abs/1210.0685 (2012) - [i6]Cédric Herzet, Charles Soussen, Jérôme Idier, Rémi Gribonval:
Coherence-based Partial Exact Recovery Condition for OMP/OLS. CoRR abs/1211.7283 (2012) - 2011
- [i5]Rémi Gribonval, Volkan Cevher, Mike E. Davies:
Compressible Distributions for High-dimensional Statistics. CoRR abs/1102.1249 (2011) - [i4]Sangnam Nam, Mike E. Davies, Michael Elad, Rémi Gribonval:
The Cosparse Analysis Model and Algorithms. CoRR abs/1106.4987 (2011) - [i3]Gilles Puy, Pierre Vandergheynst, Rémi Gribonval, Yves Wiaux:
Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques. CoRR abs/1110.5870 (2011) - 2009
- [i2]Rémi Gribonval, Karin Schnass:
Dictionary Identification - Sparse Matrix-Factorisation via ℓ1-Minimisation. CoRR abs/0904.4774 (2009) - [i1]David K. Hammond, Pierre Vandergheynst, Rémi Gribonval:
Wavelets on Graphs via Spectral Graph Theory. CoRR abs/0912.3848 (2009)
Coauthor Index
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