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2020 – today
- 2024
[j71]Rémi Vaudaine, Pierre Borgnat, Paulo Gonçalves, Rémi Gribonval, Márton Karsai
:
Temporal network compression via network hashing. Appl. Netw. Sci. 9(1): 3 (2024)- [j70]Ayoub Belhadji, Rémi Gribonval:
Revisiting RIP Guarantees for Sketching Operators on Mixture Models. J. Mach. Learn. Res. 25: 55:1-55:68 (2024) - [j69]Ayoub Belhadji, Rémi Gribonval:
Sketch and shift: a robust decoder for compressive clustering. Trans. Mach. Learn. Res. 2024 (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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [j59]Rémi Gribonval, Mila Nikolova:
A Characterization of Proximity Operators. J. Math. Imaging Vis. 62(6-7): 773-789 (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 - [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)
2010 – 2019
- 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) - [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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
- [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) - [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]