Rémi Gribonval

290 papers A* 15A 2B 3Misc 41Journal 165Unranked 63

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Path-conditioned training: a principled way to rescale ReLU neural networks. CoRR Arthur Lebeurrier, Titouan Vayer, Rémi Gribonval
2026	J	`jnl`	Rapture of the Deep: Highs and lows of sparsity in a world of depths. IEEE Signal Process. Mag. Rémi Gribonval, Elisa Riccietti, Quoc-Tung Le, Léon Zheng
2026	J	`jnl`	Training Flow Matching: The Role of Weighting and Parameterization. CoRR Anne Gagneux, Ségolène Martin, Rémi Gribonval, Mathurin Massias
2025	A*	`conf`	A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations. ICML Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
2025	J	`jnl`	Butterfly Factorization with Error Guarantees. SIAM J. Matrix Anal. Appl. Quoc-Tung Le, Léon Zheng, Elisa Riccietti, Rémi Gribonval
2025	J	`jnl`	Convexity in ReLU Neural Networks: Beyond ICNNs? J. Math. Imaging Vis. Anne Gagneux, Mathurin Massias, Emmanuel Soubies, Rémi Gribonval
2025	J	`jnl`	Convexity in ReLU Neural Networks: beyond ICNNs? CoRR Anne Gagneux, Mathurin Massias, Emmanuel Soubies, Rémi Gribonval
2025	J	`jnl`	Identifying a Piecewise Affine Signal From Its Nonlinear Observation - Application to DNA Replication Analysis. IEEE Trans. Signal Process. Clara Lage, Nelly Pustelnik, Jean-Michel Arbona, Benjamin Audit, Rémi Gribonval
2025	J	`jnl`	Intrinsic training dynamics of deep neural networks. CoRR Sibylle Marcotte, Gabriel Peyré, Rémi Gribonval
2025	J	`jnl`	Non-Vacuous Generalization Bounds: Can Rescaling Invariances Help? CoRR Damien Rouchouse, Antoine Gonon, Rémi Gribonval, Benjamin Guedj
2025	J	`jnl`	Pasco (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms. Mach. Learn. Etienne Lasalle, Rémi Vaudaine, Titouan Vayer, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai
2025	J	`jnl`	The Generation Phases of Flow Matching: a Denoising Perspective. CoRR Anne Gagneux, Ségolène Martin, Rémi Gribonval, Mathurin Massias
2025	A*	`conf`	Transformative or Conservative? Conservation laws for ResNets and Transformers. ICML Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2025	J	`jnl`	Transformative or Conservative? Conservation laws for ResNets and Transformers. CoRR Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2024	A*	`conf`	A path-norm toolkit for modern networks: consequences, promises and challenges. ICLR Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
2024	A*	`conf`	Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows. ICML Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2024	J	`jnl`	Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows. CoRR Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2024	J	`jnl`	PASCO (PArallel Structured COarsening): an overlay to speed up graph clustering algorithms. CoRR Etienne Lasalle, Rémi Vaudaine, Titouan Vayer, Pierre Borgnat, Rémi Gribonval, Paulo Gonçalves, Márton Karsai
2024	J	`jnl`	Path-metrics, pruning, and generalization. CoRR Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
2024	J	`jnl`	Revisiting RIP Guarantees for Sketching Operators on Mixture Models. J. Mach. Learn. Res. Ayoub Belhadji, Rémi Gribonval
2024	J	`jnl`	Sketch and shift: a robust decoder for compressive clustering. Trans. Mach. Learn. Res. Ayoub Belhadji, Rémi Gribonval
2024	J	`jnl`	Temporal network compression via network hashing. Appl. Netw. Sci. Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai
2023	J	`jnl`	A path-norm toolkit for modern networks: consequences, promises and challenges. CoRR Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti, Rémi Gribonval
2023	J	`jnl`	Abide by the Law and Follow the Flow: Conservation Laws for Gradient Flows. CoRR Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2023	A*	`conf`	Abide by the law and follow the flow: conservation laws for gradient flows. NeurIPS Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
2023	J	`jnl`	About the Cost of Central Privacy in Density Estimation. Trans. Mach. Learn. Res. Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	J	`jnl`	About the Cost of Global Privacy in Density Estimation. CoRR Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	J	`jnl`	Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond. IEEE Trans. Inf. Theory Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti
2023	J	`jnl`	Butterfly factorization by algorithmic identification of rank-one blocks. CoRR Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
2023	J	`jnl`	Compressive Recovery of Sparse Precision Matrices. CoRR Titouan Vayer, Etienne Lasalle, Rémi Gribonval, Paulo Gonçalves
2023	J	`jnl`	Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning. J. Mach. Learn. Res. Titouan Vayer, Rémi Gribonval
2023	A*	`conf`	Does a sparse ReLU network training problem always admit an optimum ? NeurIPS Quoc-Tung Le, Rémi Gribonval, Elisa Riccietti
2023	J	`jnl`	Does a sparse ReLU network training problem always admit an optimum? CoRR Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval
2023	J	`jnl`	Efficient Identification of Butterfly Sparse Matrix Factorizations. SIAM J. Math. Data Sci. Léon Zheng, Elisa Riccietti, Rémi Gribonval
2023	J	`jnl`	On the Statistical Complexity of Estimation and Testing under Privacy Constraints. Trans. Mach. Learn. Res. Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	A*	`conf`	Private Statistical Estimation of Many Quantiles. ICML Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	J	`jnl`	Private Statistical Estimation of Many Quantiles. CoRR Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2023	J	`jnl`	Revisiting RIP guarantees for sketching operators on mixture models. CoRR Ayoub Belhadji, Rémi Gribonval
2023	A*	`conf`	Self-supervised learning with rotation-invariant kernels. ICLR Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
2023	J	`jnl`	Sketch and shift: a robust decoder for compressive clustering. CoRR Ayoub Belhadji, Rémi Gribonval
2023	J	`jnl`	Spurious Valleys, NP-Hardness, and Tractability of Sparse Matrix Factorization with Fixed Support. SIAM J. Matrix Anal. Appl. Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval
2023	J	`jnl`	Temporal network compression via network hashing. CoRR Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai
2022	J	`jnl`	Approximation speed of quantized vs. unquantized ReLU neural networks and beyond. CoRR Antoine Gonon, Nicolas Brisebarre, Rémi Gribonval, Elisa Riccietti
2022	J	`jnl`	Compressive Clustering with an Optical Processing Unit. CoRR Luc Giffon, Rémi Gribonval
2022	Misc	`conf`	Fast Learning of Fast Transforms, with Guarantees. ICASSP Quoc-Tung Le, Léon Zheng, Elisa Riccietti, Rémi Gribonval
2022	Misc	`conf`	Fast Multiscale Diffusion On Graphs. ICASSP Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves
2022	J	`jnl`	Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data. IEEE Trans. Signal Process. Barbara Pascal, Patrice Abry, Nelly Pustelnik, Stéphane G. Roux, Rémi Gribonval, Patrick Flandrin
2022	J	`jnl`	On the Statistical Complexity of Estimation and Testing under Privacy Constraints. CoRR Clément Lalanne, Aurélien Garivier, Rémi Gribonval
2022	J	`jnl`	Private Quantiles Estimation in the Presence of Atoms. CoRR Clément Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval
2022	J	`jnl`	Self-supervised learning with rotation-invariant kernels. CoRR Léon Zheng, Gilles Puy, Elisa Riccietti, Patrick Pérez, Rémi Gribonval
2021	J	`jnl`	An Embedding of ReLU Networks and an Analysis of their Identifiability. CoRR Pierre Stock, Rémi Gribonval
2021	J	`jnl`	Controlling Wasserstein distances by Kernel norms with application to Compressive Statistical Learning. CoRR Titouan Vayer, Rémi Gribonval
2021	J	`jnl`	Fast Multiscale Diffusion on Graphs. CoRR Sibylle Marcotte, Amélie Barbe, Rémi Gribonval, Titouan Vayer, Marc Sebban, Pierre Borgnat, Paulo Gonçalves
2021	J	`jnl`	Identifiability in Exact Multilayer Sparse Matrix Factorization. CoRR Léon Zheng, Rémi Gribonval, Elisa Riccietti
2021	J	`jnl`	Identifiability in Exact Two-Layer Sparse Matrix Factorization. CoRR Léon Zheng, Rémi Gribonval, Elisa Riccietti
2021	J	`jnl`	Minibatch optimal transport distances; analysis and applications. CoRR Kilian Fatras, Younes Zine, Szymon Majewski, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2021	B	`conf`	Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. ICTAI Amélie Barbe, Paulo Gonçalves, Marc Sebban, Pierre Borgnat, Rémi Gribonval, Titouan Vayer
2021	J	`jnl`	Sketching Data Sets for Large-Scale Learning: Keeping only what you need. IEEE Signal Process. Mag. Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
2021	J	`jnl`	Sparsity-Based Audio Declipping Methods: Selected Overview, New Algorithms, and Large-Scale Evaluation. IEEE ACM Trans. Audio Speech Lang. Process. Clément Gaultier, Srdan Kitic, Rémi Gribonval, Nancy Bertin
2021	J	`jnl`	Spurious Valleys, Spurious Minima and NP-hardness of Sparse Matrix Factorization With Fixed Support. CoRR Quoc-Tung Le, Elisa Riccietti, Rémi Gribonval
2021	Misc	`conf`	Structured Support Exploration for Multilayer Sparse Matrix Factorization. ICASSP Quoc-Tung Le, Rémi Gribonval
2021	A*	`conf`	Training with Quantization Noise for Extreme Model Compression. ICLR Pierre Stock, Angela Fan, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
2020	J	`jnl`	A Characterization of Proximity Operators. J. Math. Imaging Vis. Rémi Gribonval, Mila Nikolova
2020	A*	`conf`	And the Bit Goes Down: Revisiting the Quantization of Neural Networks. ICLR Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
2020	Misc	`conf`	Blaster: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval. ICASSP Diego Di Carlo, Clement Elvira, Antoine Deleforge, Nancy Bertin, Rémi Gribonval
2020	J	`jnl`	Continuous dictionaries meet low-rank tensor approximations. CoRR Clement Elvira, Jeremy E. Cohen, Cédric Herzet, Rémi Gribonval
2020	Misc	`conf`	Fast Optical System Identification by Numerical Interferometry. ICASSP Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic
2020	—	`conf`	Graph Diffusion Wasserstein Distances. ECML/PKDD (2) Amélie Barbe, Marc Sebban, Paulo Gonçalves, Pierre Borgnat, Rémi Gribonval
2020	A	`conf`	Learning with minibatch Wasserstein : asymptotic and gradient properties. AISTATS Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2020	J	`jnl`	Sketching Datasets for Large-Scale Learning (long version). CoRR Rémi Gribonval, Antoine Chatalic, Nicolas Keriven, Vincent Schellekens, Laurent Jacques, Philip Schniter
2020	J	`jnl`	Sparsity-based audio declipping methods: overview, new algorithms, and large-scale evaluation. CoRR Clément Gaultier, Srdan Kitic, Rémi Gribonval, Nancy Bertin
2020	J	`jnl`	Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling. CoRR Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
2020	J	`jnl`	Training with Quantization Noise for Extreme Model Compression. CoRR Angela Fan, Pierre Stock, Benjamin Graham, Edouard Grave, Rémi Gribonval, Hervé Jégou, Armand Joulin
2019	J	`jnl`	And the Bit Goes Down: Revisiting the Quantization of Neural Networks. CoRR Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
2019	J	`jnl`	Approximation spaces of deep neural networks. CoRR Rémi Gribonval, Gitta Kutyniok, Morten Nielsen, Felix Voigtländer
2019	J	`jnl`	Concentration of the Frobenius Norm of Generalized Matrix Inverses. SIAM J. Matrix Anal. Appl. Ivan Dokmanic, Rémi Gribonval
2019	Misc	`conf`	Differentially Private Compressive K-means. ICASSP Vincent Schellekens, Antoine Chatalic, Florimond Houssiau, Yves-Alexandre de Montjoye, Laurent Jacques, Rémi Gribonval
2019	A*	`conf`	Don't take it lightly: Phasing optical random projections with unknown operators. NeurIPS Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic
2019	J	`jnl`	Don't take it lightly: Phasing optical random projections with unknown operators. CoRR Sidharth Gupta, Rémi Gribonval, Laurent Daudet, Ivan Dokmanic
2019	—	`conf`	Equi-normalization of Neural Networks. ICLR (Poster) Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
2019	J	`jnl`	Equi-normalization of Neural Networks. CoRR Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
2019	—	`conf`	Hyperspectral Image Denoising using Dictionary Learning. WHISPERS Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval
2019	—	`conf`	Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising. EUSIPCO Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval
2019	J	`jnl`	Learning with minibatch Wasserstein : asymptotic and gradient properties. CoRR Kilian Fatras, Younes Zine, Rémi Flamary, Rémi Gribonval, Nicolas Courty
2019	Misc	`conf`	OMP and Continuous Dictionaries: Is k-step Recovery Possible? ICASSP Clément Elvira, Rémi Gribonval, Charles Soussen, Cédric Herzet
2019	J	`jnl`	Sketched Clustering via Hybrid Approximate Message Passing. IEEE Trans. Signal Process. Evan Byrne, Antoine Chatalic, Rémi Gribonval, Philip Schniter
2019	J	`jnl`	Stable Safe Screening and Structured Dictionaries for Faster ℓ IEEE Trans. Signal Process. Cássio Fraga Dantas, Rémi Gribonval
2019	J	`jnl`	When does OMP achieve support recovery with continuous dictionaries? CoRR Clément Elvira, Rémi Gribonval, Charles Soussen, Cédric Herzet
2018	J	`jnl`	Adaptive Wavelet Packet Modulation. IEEE Trans. Commun. Marwa Chafii, Jacques Palicot, Rémi Gribonval, Faouzi Bader
2018	J	`jnl`	Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations. IEEE Trans. Signal Inf. Process. over Networks Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
2018	Misc	`conf`	Cascade: Channel-Aware Structured Cosparse Audio Declipper. ICASSP Clément Gaultier, Nancy Bertin, Rémi Gribonval
2018	J	`jnl`	Concentration of the Frobenius norms of pseudoinverses. CoRR Ivan Dokmanic, Rémi Gribonval
2018	Misc	`conf`	Faster and Still Safe: Combining Screening Techniques and Structured Dictionaries to Accelerate the Lasso. ICASSP Cássio Fraga Dantas, Rémi Gribonval
2018	—	`conf`	Fourier Based Adaptive Waveform. ICT Marwa Chafii, Jacques Palicot, Rémi Gribonval, Faouzi Bader
2018	J	`jnl`	Instance Optimal Decoding and the Restricted Isometry Property. CoRR Nicolas Keriven, Rémi Gribonval
2018	J	`jnl`	Is the 1-norm the best convex sparse regularization? CoRR Yann Traonmilin, Samuel Vaiter, Rémi Gribonval
2018	Misc	`conf`	Large-Scale High-Dimensional Clustering with Fast Sketching. ICASSP Antoine Chatalic, Rémi Gribonval, Nicolas Keriven
2018	—	`conf`	Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions. LVA/ICA Cássio Fraga Dantas, Jérémy E. Cohen, Rémi Gribonval
2018	A*	`conf`	Learning a Complete Image Indexing Pipeline. CVPR Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval
2018	A*	`conf`	MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval. NeurIPS Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval
2018	J	`jnl`	MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval. CoRR Helena Peic Tukuljac, Antoine Deleforge, Rémi Gribonval
2018	J	`jnl`	Stable safe screening and structured dictionaries for faster 𝓁 CoRR Cássio Fraga Dantas, Rémi Gribonval
2017	J	`jnl`	A modeling and algorithmic framework for (non)social (co)sparse audio restoration. CoRR Clément Gaultier, Nancy Bertin, Srdan Kitic, Rémi Gribonval
2017	—	`conf`	AUDASCITY: AUdio denoising by adaptive social CosparsITY. EUSIPCO Clément Gaultier, Srdan Kitic, Nancy Bertin, Rémi Gribonval
2017	J	`jnl`	Analyzing the Approximation Error of the Fast Graph Fourier Transform. CoRR Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
2017	Misc	`conf`	Analyzing the approximation error of the fast graph Fourier transform. ACSSC Luc Le Magoarou, Nicolas Tremblay, Rémi Gribonval
2017	J	`jnl`	Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms. CoRR Ivan Dokmanic, Rémi Gribonval
2017	J	`jnl`	Beyond Moore-Penrose Part II: The Sparse Pseudoinverse. CoRR Ivan Dokmanic, Rémi Gribonval
2017	J	`jnl`	Compressed sensing in Hilbert spaces. CoRR Yann Traonmilin, Gilles Puy, Rémi Gribonval, Mike E. Davies
2017	Misc	`conf`	Compressive K-means. ICASSP Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
2017	J	`jnl`	Compressive Statistical Learning with Random Feature Moments. CoRR Rémi Gribonval, Gilles Blanchard, Nicolas Keriven, Yann Traonmilin
2017	J	`jnl`	Learning a Complete Image Indexing Pipeline. CoRR Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval
2017	—	`conf`	Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints. MICCAI (1) Saman Noorzadeh, Pierre Maurel, Thomas Oberlin, Rémi Gribonval, Christian Barillot
2017	J	`jnl`	Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝ IEEE Trans. Inf. Theory Gilles Puy, Mike E. Davies, Rémi Gribonval
2017	J	`jnl`	SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity. NeuroImage Hanna Becker, Laurent Albera, Pierre Comon, Jean-Claude Nunes, Rémi Gribonval, Julien Fleureau, Philippe Guillotel, Isabelle Merlet
2017	J	`jnl`	SUBIC: A supervised, structured binary code for image search. CoRR Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval
2017	J	`jnl`	Sketched Clustering via Hybrid Approximate Message Passing. CoRR Evan Byrne, Rémi Gribonval, Philip Schniter
2017	Misc	`conf`	Sketched clustering via hybrid approximate message passing. ACSSC Evan Byrne, Rémi Gribonval, Philip Schniter
2017	—	`conf`	Spatial and rotation invariant 3D gesture recognition based on sparse representation. 3DUI Ferran Argelaguet, Melanie Ducoffe, Anatole Lécuyer, Rémi Gribonval
2017	A*	`conf`	SuBiC: A Supervised, Structured Binary Code for Image Search. ICCV Himalaya Jain, Joaquin Zepeda, Patrick Pérez, Rémi Gribonval
2016	J	`jnl`	A Necessary Condition for Waveforms With Better PAPR Than OFDM. IEEE Trans. Commun. Marwa Chafii, Jacques Palicot, Rémi Gribonval, Faouzi Bader
2016	B	`conf`	A framework for low-complexity signal recovery and its application to structured sparsity. ITW Yann Traonmilin, Rémi Gribonval
2016	Misc	`conf`	Accelerated spectral clustering using graph filtering of random signals. ICASSP Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
2016	—	`conf`	Adaptive Tone Reservation for Better BER Performance in a Frequency Selective Fading Channel. VTC Spring Marwa Chafii, Mamadou Lamarana Diallo, Jacques Palicot, Faouzi Bader, Rémi Gribonval
2016	J	`jnl`	Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations. CoRR Luc Le Magoarou, Rémi Gribonval, Nicolas Tremblay
2016	—	`conf`	Approximate Search with Quantized Sparse Representations. ECCV (7) Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou
2016	J	`jnl`	Approximate search with quantized sparse representations. CoRR Himalaya Jain, Patrick Pérez, Rémi Gribonval, Joaquin Zepeda, Hervé Jégou
2016	Misc	`conf`	Are there approximate fast fourier transforms on graphs? ICASSP Luc Le Magoarou, Rémi Gribonval
2016	J	`jnl`	Compressive K-means. CoRR Nicolas Keriven, Nicolas Tremblay, Yann Traonmilin, Rémi Gribonval
2016	A*	`conf`	Compressive Spectral Clustering. ICML Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
2016	J	`jnl`	Compressive Spectral Clustering. CoRR Nicolas Tremblay, Gilles Puy, Rémi Gribonval, Pierre Vandergheynst
2016	J	`jnl`	Flexible Multilayer Sparse Approximations of Matrices and Applications. IEEE J. Sel. Top. Signal Process. Luc Le Magoarou, Rémi Gribonval
2016	J	`jnl`	Introduction to the Issue on Structured Matrices in Signal and Data Processing. IEEE J. Sel. Top. Signal Process. Michael B. Wakin, Rémi Gribonval, Visa Koivunen, Justin K. Romberg, John Wright
2016	Misc	`conf`	Joint estimation of sound source location and boundary impedance with physics-driven cosparse regularization. ICASSP Nancy Bertin, Srdan Kitic, Rémi Gribonval
2016	J	`jnl`	Learning Co-Sparse Analysis Operators With Separable Structures. IEEE Trans. Signal Process. Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2016	Misc	`conf`	Membrane shape and boundary conditions estimation using eigenmode decomposition. ICASSP Thibault Nowakowski, Nancy Bertin, Rémi Gribonval, Julien de Rosny, Laurent Daudet
2016	J	`jnl`	Physics-Driven Inverse Problems Made Tractable With Cosparse Regularization. IEEE Trans. Signal Process. Srdan Kitic, Laurent Albera, Nancy Bertin, Rémi Gribonval
2016	—	`conf`	Power spectral density limitations of the wavelet-OFDM system. EUSIPCO Marwa Chafii, Jacques Palicot, Rémi Gribonval, Alister G. Burr
2016	J	`jnl`	Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR 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
2016	J	`jnl`	Sketching for Large-Scale Learning of Mixture Models. CoRR Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez
2016	Misc	`conf`	Sketching for large-scale learning of mixture models. ICASSP Nicolas Keriven, Anthony Bourrier, Rémi Gribonval, Patrick Pérez
2015	J	`jnl`	Accelerated Spectral Clustering Using Graph Filtering Of Random Signals. CoRR Nicolas Tremblay, Gilles Puy, Pierre Borgnat, Rémi Gribonval, Pierre Vandergheynst
2015	J	`jnl`	Brain-Source Imaging: From sparse to tensor models. IEEE Signal Process. Mag. Hanna Becker, Laurent Albera, Pierre Comon, Rémi Gribonval, Fabrice Wendling, Isabelle Merlet
2015	Misc	`conf`	Chasing butterflies: In search of efficient dictionaries. ICASSP Luc Le Magoarou, Rémi Gribonval
2015	J	`jnl`	Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso. IEEE Trans. Signal Process. Antoine Bonnefoy, Valentin Emiya, Liva Ralaivola, Rémi Gribonval
2015	J	`jnl`	Explicit Embeddings for Nearest Neighbor Search with Mercer Kernels. J. Math. Imaging Vis. Anthony Bourrier, Florent Perronnin, Rémi Gribonval, Patrick Pérez, Hervé Jégou
2015	—	`conf`	FAμST: Speeding up linear transforms for tractable inverse problems. EUSIPCO Luc Le Magoarou, Rémi Gribonval, Alexandre Gramfort
2015	J	`jnl`	Flexible Multi-layer Sparse Approximations of Matrices and Applications. CoRR Luc Le Magoarou, Rémi Gribonval
2015	J	`jnl`	Learning Co-Sparse Analysis Operators with Separable Structures. CoRR Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2015	—	`conf`	Linear embeddings of low-dimensional subsets of a Hilbert space to R EUSIPCO Gilles Puy, Mike E. Davies, Rémi Gribonval
2015	—	`conf`	Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data. EMBC Laurent Albera, Hanna Becker, Ahmad Karfoul, Rémi Gribonval, Amar Kachenoura, Siouar Bensaid, Lotfi Senhadji, Alfredo I. Hernández, Isabelle Merlet
2015	J	`jnl`	Random sampling of bandlimited signals on graphs. CoRR Gilles Puy, Nicolas Tremblay, Rémi Gribonval, Pierre Vandergheynst
2015	J	`jnl`	Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$. CoRR Gilles Puy, Mike E. Davies, Rémi Gribonval
2015	J	`jnl`	Sample Complexity of Dictionary Learning and Other Matrix Factorizations. IEEE Trans. Inf. Theory Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert
2015	J	`jnl`	Sparse and Spurious: Dictionary Learning With Noise and Outliers. IEEE Trans. Inf. Theory Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach
2015	—	`conf`	Sparsity and Cosparsity for Audio Declipping: A Flexible Non-convex Approach. LVA/ICA Srdan Kitic, Nancy Bertin, Rémi Gribonval
2015	J	`jnl`	Sparsity and cosparsity for audio declipping: a flexible non-convex approach. CoRR Srdan Kitic, Nancy Bertin, Rémi Gribonval
2015	J	`jnl`	Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all. CoRR Yann Traonmilin, Rémi Gribonval
2015	—	`conf`	Symmetrical EEG-FMRI imaging by sparse regularization. EUSIPCO Thomas Oberlin, Christian Barillot, Rémi Gribonval, Pierre Maurel
2015	—	`conf`	Tensor decomposition exploiting structural constraints for brain source imaging. CAMSAP Hanna Becker, Ahmad Karfoul, Laurent Albera, Rémi Gribonval, Julien Fleureau, Philippe Guillotel, Amar Kachenoura, Lotfi Senhadji, Isabelle Merlet
2014	—	`conf`	A PAPR upper bound of generalized waveforms for multi-carrier modulation systems. ISCCSP Marwa Chafii, Jacques Palicot, Rémi Gribonval
2014	—	`conf`	A dynamic screening principle for the Lasso. EUSIPCO Antoine Bonnefoy, Valentin Emiya, Liva Ralaivola, Rémi Gribonval
2014	Misc	`conf`	A performance study of various brain source imaging approaches. ICASSP Hanna Becker, Laurent Albera, Pierre Comon, Rémi Gribonval, Fabrice Wendling, Isabelle Merlet
2014	J	`jnl`	Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit. CoRR Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
2014	—	`conf`	Brain source localization using a physics-driven structured cosparse representation of EEG signals. MLSP Laurent Albera, Srdan Kitic, Nancy Bertin, Gilles Puy, Rémi Gribonval
2014	—	`conf`	Closed-form approximations of the PAPR distribution for Multi-Carrier Modulation systems. EUSIPCO Marwa Chafii, Jacques Palicot, Rémi Gribonval
2014	J	`jnl`	Closed-form approximations of the peak-to-average power ratio distribution for multi-carrier modulation and their applications. EURASIP J. Adv. Signal Process. Marwa Chafii, Jacques Palicot, Rémi Gribonval
2014	Misc	`conf`	Compressed sensing with unknown sensor permutation. ICASSP Valentin Emiya, Antoine Bonnefoy, Laurent Daudet, Rémi Gribonval
2014	J	`jnl`	Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity. IEEE Trans. Signal Process. Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
2014	J	`jnl`	Convex Regularizations for the Simultaneous Recording of Room Impulse Responses. IEEE Trans. Signal Process. Alexis Benichoux, Laurent S. R. Simon, Emmanuel Vincent, Rémi Gribonval
2014	J	`jnl`	Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso. CoRR Antoine Bonnefoy, Valentin Emiya, Liva Ralaivola, Rémi Gribonval
2014	—	`conf`	Fast, variation-based methods for the analysis of extended brain sources. EUSIPCO Hanna Becker, Laurent Albera, Pierre Comon, Rémi Gribonval, Isabelle Merlet
2014	J	`jnl`	From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound. IEEE Signal Process. Mag. Emmanuel Vincent, Nancy Bertin, Rémi Gribonval, Frédéric Bimbot
2014	J	`jnl`	Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems. IEEE Trans. Inf. Theory Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval
2014	Misc	`conf`	Hearing behind walls: Localizing sources in the room next door with cosparsity. ICASSP Srdan Kitic, Nancy Bertin, Rémi Gribonval
2014	J	`jnl`	Learning computationally efficient dictionaries and their implementation as fast transforms. CoRR Luc Le Magoarou, Rémi Gribonval
2014	—	`conf`	On the sample complexity of sparse dictionary learning. SSP Matthias Seibert, Martin Kleinsteuber, Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach
2014	J	`jnl`	Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14). CoRR 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
2014	Misc	`conf`	Projection onto the cosparse set is NP-hard. ICASSP Andreas M. Tillmann, Rémi Gribonval, Marc E. Pfetsch
2014	J	`jnl`	Separable Cosparse Analysis Operator Learning. CoRR Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2014	—	`conf`	Separable cosparse Analysis Operator learning. EUSIPCO Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber
2014	J	`jnl`	Sparse and spurious: dictionary learning with noise and outliers. CoRR Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach
2013	—	`conf`	A conjugate gradient algorithm for blind sensor calibration in sparse recovery. MLSP Hao Shen, Martin Kleinsteuber, Cagdas Bilen, Rémi Gribonval
2013	Misc	`conf`	A fundamental pitfall in blind deconvolution with sparse and shift-invariant priors. ICASSP Alexis Benichoux, Emmanuel Vincent, Rémi Gribonval
2013	—	`conf`	Blind phase calibration in sparse recovery. EUSIPCO Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
2013	—	`conf`	Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries. EUSIPCO Tomer Peleg, Rémi Gribonval, Mike E. Davies
2013	Misc	`conf`	Compressive Gaussian Mixture estimation. ICASSP Anthony Bourrier, Rémi Gribonval, Patrick Pérez
2013	J	`jnl`	Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling. IEEE Trans. Signal Process. Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2013	J	`jnl`	Convex Optimization Approaches for Blind Sensor Calibration using Sparsity. CoRR Cagdas Bilen, Gilles Puy, Rémi Gribonval, Laurent Daudet
2013	J	`jnl`	Exact Recovery Conditions for Sparse Representations With Partial Support Information. IEEE Trans. Inf. Theory Cédric Herzet, Charles Soussen, Jérôme Idier, Rémi Gribonval
2013	J	`jnl`	Exact Recovery Conditions for Sparse Representations with Partial Support Information CoRR Cédric Herzet, Charles Soussen, Jérôme Idier, Rémi Gribonval
2013	J	`jnl`	Fundamental performance limits for ideal decoders in high-dimensional linear inverse problems. CoRR Anthony Bourrier, Mike E. Davies, Tomer Peleg, Patrick Pérez, Rémi Gribonval
2013	J	`jnl`	Joint k-Step Analysis of Orthogonal Matching Pursuit and Orthogonal Least Squares. IEEE Trans. Inf. Theory Charles Soussen, Rémi Gribonval, Jérôme Idier, Cédric Herzet
2013	J	`jnl`	Projection Onto The k-Cosparse Set is NP-Hard CoRR Andreas M. Tillmann, Rémi Gribonval, Marc E. Pfetsch
2013	—	`conf`	Reconciling "priors" & "priors" without prejudice? NIPS Rémi Gribonval, Pierre Machart
2013	J	`jnl`	Sample Complexity of Dictionary Learning and other Matrix Factorizations. CoRR Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert
2013	J	`jnl`	Spatial location priors for Gaussian model based reverberant audio source separation. EURASIP J. Adv. Signal Process. Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval
2013	J	`jnl`	The restricted isometry property meets nonlinear approximation with redundant frames. J. Approx. Theory Rémi Gribonval, Morten Nielsen
2012	J	`jnl`	A tractable framework for estimating and combining spectral source models for audio source separation. Signal Process. Simon Arberet, Alexey Ozerov, Frédéric Bimbot, Rémi Gribonval
2012	J	`jnl`	Audio Inpainting. IEEE Trans. Speech Audio Process. Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley
2012	Misc	`conf`	Blind calibration for compressed sensing by convex optimization. ICASSP Rémi Gribonval, Gilles Chardon, Laurent Daudet
2012	J	`jnl`	Coherence-based Partial Exact Recovery Condition for OMP/OLS. CoRR Cédric Herzet, Charles Soussen, Jérôme Idier, Rémi Gribonval
2012	J	`jnl`	Compressible Distributions for High-Dimensional Statistics. IEEE Trans. Inf. Theory Rémi Gribonval, Volkan Cevher, Mike E. Davies
2012	J	`jnl`	Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling CoRR Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2012	J	`jnl`	Latent variable analysis and signal separation. Signal Process. Vincent Vigneron, Vicente Zarzoso, Rémi Gribonval, Emmanuel Vincent
2012	J	`jnl`	Local stability and robustness of sparse dictionary learning in the presence of noise CoRR Rodolphe Jenatton, Rémi Gribonval, Francis R. Bach
2012	Misc	`conf`	Noise aware analysis operator learning for approximately cosparse signals. ICASSP Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Michael E. Davies
2012	Misc	`conf`	Physics-driven structured cosparse modeling for source localization. ICASSP Sangnam Nam, Rémi Gribonval
2012	—	`conf`	Some Uniqueness Results in Sparse Convolutive Source Separation. LVA/ICA Alexis Benichoux, Prasad Sudhakar, Frédéric Bimbot, Rémi Gribonval
2012	Misc	`conf`	Sparse underwater acoustic imaging: A case study. ICASSP Nikolaos Stefanakis, Jacques Marchal, Valentin Emiya, Nancy Bertin, Rémi Gribonval, Pierre Cervenka
2012	J	`jnl`	Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques. EURASIP J. Adv. Signal Process. Gilles Puy, Pierre Vandergheynst, Rémi Gribonval, Yves Wiaux
2011	—	`conf`	A compressed sensing approach to the simultaneous recording of multiple room impulse responses. WASPAA Alexis Benichoux, Emmanuel Vincent, Rémi Gribonval
2011	Misc	`conf`	A constrained matching pursuit approach to audio declipping. ICASSP Amir Adler, Valentin Emiya, Maria G. Jafari, Michael Elad, Rémi Gribonval, Mark D. Plumbley
2011	Misc	`conf`	A wideband doubly-sparse approach for MITO sparse filter estimation. ICASSP Simon Arberet, Prasad Sudhakar, Rémi Gribonval
2011	Misc	`conf`	An acoustically-motivated spatial prior for under-determined reverberant source separation. ICASSP Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval
2011	—	`conf`	Analysis operator learning for overcomplete cosparse representations. EUSIPCO Mehrdad Yaghoobi, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2011	J	`jnl`	Compressible Distributions for High-dimensional Statistics. CoRR Rémi Gribonval, Volkan Cevher, Mike E. Davies
2011	Misc	`conf`	Cosparse analysis modeling - uniqueness and algorithms. ICASSP Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval
2011	—	`conf`	Cyclic pure greedy algorithms for recovering compressively sampled sparse signals. ACSCC Bob L. T. Sturm, Mads Græsbøll Christensen, Rémi Gribonval
2011	J	`jnl`	Fast orthogonal sparse approximation algorithms over local dictionaries. Signal Process. Boris Mailhé, Rémi Gribonval, Pierre Vandergheynst, Frédéric Bimbot
2011	—	`conf`	Iterative cosparse projection algorithms for the recovery of cosparse vectors. EUSIPCO Raja Giryes, Sangnam Nam, Rémi Gribonval, Mike E. Davies
2011	Misc	`conf`	Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity. ICASSP Ngoc Q. K. Duong, Hideyuki Tachibana, Emmanuel Vincent, Nobutaka Ono, Rémi Gribonval, Shigeki Sagayama
2011	—	`conf`	Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise. CAMSAP Sangnam Nam, Michael E. Davies, Michael Elad, Rémi Gribonval
2011	J	`jnl`	Should Penalized Least Squares Regression be Interpreted as Maximum A Posteriori Estimation? IEEE Trans. Signal Process. Rémi Gribonval
2011	J	`jnl`	The Cosparse Analysis Model and Algorithms CoRR Sangnam Nam, Mike E. Davies, Michael Elad, Rémi Gribonval
2011	J	`jnl`	Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques CoRR Gilles Puy, Pierre Vandergheynst, Rémi Gribonval, Yves Wiaux
2010	J	`jnl`	A robust method to count and locate audio sources in a multichannel underdetermined mixture. IEEE Trans. Signal Process. Simon Arberet, Rémi Gribonval, Frédéric Bimbot
2010	Misc	`conf`	An L1 criterion for dictionary learning by subspace identification. ICASSP Florent Jaillet, Rémi Gribonval, Mark D. Plumbley, Hadi Zayyani
2010	J	`jnl`	Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation. IEEE Trans. Speech Audio Process. Matthieu Kowalski, Emmanuel Vincent, Rémi Gribonval
2010	J	`jnl`	Blind Audiovisual Source Separation Based on Sparse Redundant Representations. IEEE Trans. Multim. Anna Llagostera Casanovas, Gianluca Monaci, Pierre Vandergheynst, Rémi Gribonval
2010	—	`conf`	Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays. LVA/ICA Nobutaka Ito, Emmanuel Vincent, Nobutaka Ono, Rémi Gribonval, Shigeki Sagayama
2010	J	`jnl`	Dictionary identification: sparse matrix-factorization via l1-minimization. IEEE Trans. Inf. Theory Rémi Gribonval, Karin Schnass
2010	—	`conf`	Double Sparsity: Towards Blind Estimation of Multiple Channels. LVA/ICA Prasad Sudhakar, Simon Arberet, Rémi Gribonval
2010	—	`ed.`	Latent Variable Analysis and Signal Separation - 9th International Conference, LVA/ICA 2010, St. Malo, France, September 27-30, 2010. Proceedings LVA/ICA Vincent Vigneron, Vicente Zarzoso, Eric Moreau, Rémi Gribonval, Emmanuel Vincent
2010	—	`conf`	Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation. ISSPA Simon Arberet, Alexey Ozerov, Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval, Frédéric Bimbot, Pierre Vandergheynst
2010	J	`jnl`	Sparse Representations in Audio and Music: From Coding to Source Separation. Proc. IEEE Mark D. Plumbley, Thomas Blumensath, Laurent Daudet, Rémi Gribonval, Mike E. Davies
2010	—	`conf`	Under-Determined Reverberant Audio Source Separation Using Local Observed Covariance and Auditory-Motivated Time-Frequency Representation. LVA/ICA Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval
2010	J	`jnl`	Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model. IEEE Trans. Speech Audio Process. Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval
2010	Misc	`conf`	Under-determined convolutive blind source separation using spatial covariance models. ICASSP Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval
2009	—	`conf`	A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation. ICA Prasad Sudhakar, Rémi Gribonval
2009	Misc	`conf`	A low complexity Orthogonal Matching Pursuit for sparse signal approximation with shift-invariant dictionaries. ICASSP Boris Mailhé, Rémi Gribonval, Frédéric Bimbot, Pierre Vandergheynst
2009	—	`conf`	An investigation of discrete-state discriminant approaches to single-sensor source separation. WASPAA Valentin Emiya, Emmanuel Vincent, Rémi Gribonval
2009	—	`conf`	Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation. ICA Simon Arberet, Alexey Ozerov, Rémi Gribonval, Frédéric Bimbot
2009	Misc	`conf`	Compressive sampling of pulse trains: Spread the spectrum! ICASSP Farid M. Naini, Rémi Gribonval, Laurent Jacques, Pierre Vandergheynst
2009	J	`jnl`	Dictionary Identification - Sparse Matrix-Factorisation via ℓ CoRR Rémi Gribonval, Karin Schnass
2009	Misc	`conf`	Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals. ICASSP Boris Mailhé, Rémi Gribonval, Frédéric Bimbot, Mathieu Lemay, Pierre Vandergheynst, Jean-Marc Vesin
2009	J	`jnl`	Probabilistic scoring using decision trees for fast and scalable speaker recognition. Speech Commun. Gilles Gonon, Frédéric Bimbot, Rémi Gribonval
2009	J	`jnl`	Restricted isometry constants where l IEEE Trans. Inf. Theory Michael Evan Davies, Rémi Gribonval
2009	—	`conf`	Spatial covariance models for under-determined reverberant audio source separation. WASPAA Ngoc Q. K. Duong, Emmanuel Vincent, Rémi Gribonval
2009	—	`conf`	Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling. ICA Emmanuel Vincent, Simon Arberet, Rémi Gribonval
2009	J	`jnl`	Wavelets on Graphs via Spectral Graph Theory CoRR David K. Hammond, Pierre Vandergheynst, Rémi Gribonval
2008	J	`jnl`	Beyond sparsity: Recovering structured representations by Adv. Comput. Math. Rémi Gribonval, Morten Nielsen
2008	Misc	`conf`	Blind audiovisual separation based on redundant representations. ICASSP Anna Llagostera Casanovas, Gianluca Monaci, Pierre Vandergheynst, Rémi Gribonval
2008	—	`conf`	Dictionary identifiability from few training samples. EUSIPCO Rémi Gribonval, Karin Schnass
2008	—	`conf`	Shift-invariant dictionary learning for sparse representations: Extending K-SVD. EUSIPCO Boris Mailhé, Sylvain Lesage, Rémi Gribonval, Frédéric Bimbot, Pierre Vandergheynst
2008	—	`conf`	Under-determined source separation via mixed-norm regularized minimization. EUSIPCO Matthieu Kowalski, Emmanuel Vincent, Rémi Gribonval
2007	—	`conf`	A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Anechoic Mixture. ICASSP (3) Simon Arberet, Rémi Gribonval, Frédéric Bimbot
2007	J	`jnl`	Adaptation of Bayesian Models for Single-Channel Source Separation and its Application to Voice/Music Separation in Popular Songs. IEEE Trans. Speech Audio Process. Alexey Ozerov, Pierrick Philippe, Frédéric Bimbot, Rémi Gribonval
2007	—	`conf`	Average Case Analysis of Multichannel Thresholding. ICASSP (2) Rémi Gribonval, Boris Mailhé, Holger Rauhut, Karin Schnass, Pierre Vandergheynst
2007	J	`jnl`	Learning Multimodal Dictionaries. IEEE Trans. Image Process. Gianluca Monaci, Philippe Jost, Pierre Vandergheynst, Boris Mailhé, Sylvain Lesage, Rémi Gribonval
2007	J	`jnl`	Oracle estimators for the benchmarking of source separation algorithms. Signal Process. Emmanuel Vincent, Rémi Gribonval, Mark D. Plumbley
2006	—	`conf`	A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Instantaneous Mixture. ICA Simon Arberet, Rémi Gribonval, Frédéric Bimbot
2006	J	`jnl`	A simple test to check the optimality of a sparse signal approximation. Signal Process. Rémi Gribonval, Rosa M. Figueras i Ventura, Pierre Vandergheynst
2006	B	`conf`	A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges. ESANN Rémi Gribonval, Sylvain Lesage
2006	J	`jnl`	Audio source separation with a single sensor. IEEE Trans. Speech Audio Process. Laurent Benaroya, Frédéric Bimbot, Rémi Gribonval
2006	J	`jnl`	Experiments in audio source separation with one sensor for robust speech recognition. Speech Commun. Laurent Benaroya, Frédéric Bimbot, Guillaume Gravier, Rémi Gribonval
2006	—	`conf`	Learning Multi-modal Dictionaries: Application to Audiovisual Data. MRCS Gianluca Monaci, Philippe Jost, Pierre Vandergheynst, Boris Mailhé, Sylvain Lesage, Rémi Gribonval
2006	—	`conf`	MoTIF: An Efficient Algorithm for Learning Translation Invariant Dictionaries. ICASSP (5) Philippe Jost, Pierre Vandergheynst, Sylvain Lesage, Rémi Gribonval
2006	—	`conf`	Mptk: Matching Pursuit Made Tractable. ICASSP (3) Sacha Krstulovic, Rémi Gribonval
2006	J	`jnl`	On the exponential convergence of matching pursuits in quasi-incoherent dictionaries. IEEE Trans. Inf. Theory Rémi Gribonval, Pierre Vandergheynst
2006	J	`jnl`	Performance measurement in blind audio source separation. IEEE Trans. Speech Audio Process. Emmanuel Vincent, Rémi Gribonval, Cédric Févotte
2006	J	`jnl`	Sparse approximations in signal and image processing. Signal Process. Rémi Gribonval, Morten Nielsen
2006	—	`conf`	Under-Determined Source Separation: Comparison of Two Approaches Based on Sparse Decompositions. ICA Sylvain Lesage, Sacha Krstulovic, Rémi Gribonval
2005	—	`conf`	A simple test to check the optimality of sparse signal approximations. ICASSP (5) Rémi Gribonval, Rosa M. Figueras i Ventura, Pierre Vandergheynst
2005	A	`conf`	Decision trees with improved efficiency for fast speaker verification. INTERSPEECH Gilles Gonon, Rémi Gribonval, Frédéric Bimbot
2005	J	`jnl`	From projection pursuit and CART to adaptive discriminant analysis? IEEE Trans. Neural Networks Rémi Gribonval
2005	—	`conf`	Learning unions of orthonormal bases with thresholded singular value decomposition. ICASSP (5) Sylvain Lesage, Rémi Gribonval, Frédéric Bimbot, Laurent Benaroya
2005	—	`conf`	Nonlinear approximation with redundant dictionaries. ICASSP (4) Lasse Borup, Morten Nielsen, Rémi Gribonval
2004	—	`conf`	On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries. ICA Rémi Gribonval, Morten Nielsen
2003	—	`conf`	A granular approach for the analysis of monophonic audio signals. ICASSP (6) Lorcan Mc Donagh, Frédéric Bimbot, Rémi Gribonval
2003	—	`conf`	Audio source separation with one sensor for robust speech recognition. NOLISP Laurent Benaroya, Frédéric Bimbot, Guillaume Gravier, Rémi Gribonval
2003	J	`jnl`	Harmonic decomposition of audio signals with matching pursuit. IEEE Trans. Signal Process. Rémi Gribonval, Emmanuel Bacry
2003	—	`conf`	Non negative sparse representation for Wiener based source separation with a single sensor. ICASSP (6) Laurent Benaroya, Lorcan Mc Donagh, Frédéric Bimbot, Rémi Gribonval
2003	—	`conf`	Sparse decompositions in "incoherent" dictionaries. ICIP (1) Rémi Gribonval, Morten Nielsen
2003	J	`jnl`	Sparse representations in unions of bases. IEEE Trans. Inf. Theory Rémi Gribonval, Morten Nielsen
2002	Misc	`conf`	Sparse decomposition of stereo signals with Matching Pursuit and application to blind separation of more than two sources from a stereo mixture. ICASSP Rémi Gribonval
2001	J	`jnl`	A Counter-Example to the General Convergence of Partially Greedy Algorithms. J. Approx. Theory Rémi Gribonval
2001	J	`jnl`	Approximate Weak Greedy Algorithms. Adv. Comput. Math. Rémi Gribonval, Morten Nielsen
2001	J	`jnl`	Fast matching pursuit with a multiscale dictionary of Gaussian chirps. IEEE Trans. Signal Process. Rémi Gribonval
1996	—	`conf`	Sound Signals Decomposition Using a High Resolution Matching Pursuit. ICMC Rémi Gribonval, Philippe Depalle, Xavier Rodet, Emmanuel Bacry, Stéphane Mallat