Rémi Gribonval

Orcid: 0000-0002-9450-8125

According to our database1, Rémi Gribonval authored at least 235 papers between 1996 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2014, "For contributions to the theory and applications of sparse signal processing".

Timeline

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Bibliography

2024
Temporal network compression via network hashing.
Appl. Netw. Sci., December, 2024

Sketch and shift: a robust decoder for compressive clustering.
Trans. Mach. Learn. Res., 2024

Revisiting RIP Guarantees for Sketching Operators on Mixture Models.
J. Mach. Learn. Res., 2024

Path-metrics, pruning, and generalization.
CoRR, 2024

Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A path-norm toolkit for modern networks: consequences, promises and challenges.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Approximation Speed of Quantized Versus Unquantized ReLU Neural Networks and Beyond.
IEEE Trans. Inf. Theory, June, 2023

Spurious Valleys, NP-Hardness, and Tractability of Sparse Matrix Factorization with Fixed Support.
SIAM J. Matrix Anal. Appl., June, 2023

Efficient Identification of Butterfly Sparse Matrix Factorizations.
SIAM J. Math. Data Sci., March, 2023

About the Cost of Central Privacy in Density Estimation.
Trans. Mach. Learn. Res., 2023

On the Statistical Complexity of Estimation and Testing under Privacy Constraints.
Trans. Mach. Learn. Res., 2023

Controlling Wasserstein Distances by Kernel Norms with Application to Compressive Statistical Learning.
J. Mach. Learn. Res., 2023

Compressive Recovery of Sparse Precision Matrices.
CoRR, 2023

Butterfly factorization by algorithmic identification of rank-one blocks.
CoRR, 2023

About the Cost of Global Privacy in Density Estimation.
CoRR, 2023

Abide by the law and follow the flow: conservation laws for gradient flows.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does a sparse ReLU network training problem always admit an optimum ?
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Private Statistical Estimation of Many Quantiles.
Proceedings of the International Conference on Machine Learning, 2023

Self-supervised learning with rotation-invariant kernels.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Nonsmooth Convex Optimization to Estimate the Covid-19 Reproduction Number Space-Time Evolution With Robustness Against Low Quality Data.
IEEE Trans. Signal Process., 2022

Compressive Clustering with an Optical Processing Unit.
CoRR, 2022

Approximation speed of quantized vs. unquantized ReLU neural networks and beyond.
CoRR, 2022

Private Quantiles Estimation in the Presence of Atoms.
CoRR, 2022

Fast Multiscale Diffusion On Graphs.
Proceedings of the IEEE International Conference on Acoustics, 2022

Fast Learning of Fast Transforms, with Guarantees.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Sparsity-Based Audio Declipping Methods: Selected Overview, New Algorithms, and Large-Scale Evaluation.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Sketching Data Sets for Large-Scale Learning: Keeping only what you need.
IEEE Signal Process. Mag., 2021

Spurious Valleys, Spurious Minima and NP-hardness of Sparse Matrix Factorization With Fixed Support.
CoRR, 2021

Identifiability in Exact Two-Layer Sparse Matrix Factorization.
CoRR, 2021

Identifiability in Exact Multilayer Sparse Matrix Factorization.
CoRR, 2021

An Embedding of ReLU Networks and an Analysis of their Identifiability.
CoRR, 2021

Minibatch optimal transport distances; analysis and applications.
CoRR, 2021

Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Training with Quantization Noise for Extreme Model Compression.
Proceedings of the 9th International Conference on Learning Representations, 2021

Structured Support Exploration for Multilayer Sparse Matrix Factorization.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
A Characterization of Proximity Operators.
J. Math. Imaging Vis., 2020

Continuous dictionaries meet low-rank tensor approximations.
CoRR, 2020

Sketching Datasets for Large-Scale Learning (long version).
CoRR, 2020

Sparsity-based audio declipping methods: overview, new algorithms, and large-scale evaluation.
CoRR, 2020

Statistical Learning Guarantees for Compressive Clustering and Compressive Mixture Modeling.
CoRR, 2020

Graph Diffusion Wasserstein Distances.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

And the Bit Goes Down: Revisiting the Quantization of Neural Networks.
Proceedings of the 8th International Conference on Learning Representations, 2020

Fast Optical System Identification by Numerical Interferometry.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Blaster: An Off-Grid Method for Blind and Regularized Acoustic Echoes Retrieval.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Learning with minibatch Wasserstein : asymptotic and gradient properties.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Stable Safe Screening and Structured Dictionaries for Faster ℓ<sub>1</sub> Regularization.
IEEE Trans. Signal Process., 2019

Sketched Clustering via Hybrid Approximate Message Passing.
IEEE Trans. Signal Process., 2019

Concentration of the Frobenius Norm of Generalized Matrix Inverses.
SIAM J. Matrix Anal. Appl., 2019

Approximation spaces of deep neural networks.
CoRR, 2019

When does OMP achieve support recovery with continuous dictionaries?
CoRR, 2019

Hyperspectral Image Denoising using Dictionary Learning.
Proceedings of the 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing, 2019

Don't take it lightly: Phasing optical random projections with unknown operators.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Equi-normalization of Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019

Differentially Private Compressive K-means.
Proceedings of the IEEE International Conference on Acoustics, 2019

OMP and Continuous Dictionaries: Is k-step Recovery Possible?
Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Tensor-structured Dictionaries with Application to Hyperspectral Image Denoising.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Approximate Fast Graph Fourier Transforms via Multilayer Sparse Approximations.
IEEE Trans. Signal Inf. Process. over Networks, 2018

Adaptive Wavelet Packet Modulation.
IEEE Trans. Commun., 2018

Concentration of the Frobenius norms of pseudoinverses.
CoRR, 2018

Is the 1-norm the best convex sparse regularization?
CoRR, 2018

Instance Optimal Decoding and the Restricted Isometry Property.
CoRR, 2018

MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Fourier Based Adaptive Waveform.
Proceedings of the 25th International Conference on Telecommunications, 2018

Cascade: Channel-Aware Structured Cosparse Audio Declipper.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Faster and Still Safe: Combining Screening Techniques and Structured Dictionaries to Accelerate the Lasso.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Large-Scale High-Dimensional Clustering with Fast Sketching.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Learning Fast Dictionaries for Sparse Representations Using Low-Rank Tensor Decompositions.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018

Learning a Complete Image Indexing Pipeline.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Recipes for Stable Linear Embeddings From Hilbert Spaces to ℝ<sup>m</sup>.
IEEE Trans. Inf. Theory, 2017

SISSY: An efficient and automatic algorithm for the analysis of EEG sources based on structured sparsity.
NeuroImage, 2017

A modeling and algorithmic framework for (non)social (co)sparse audio restoration.
CoRR, 2017

Compressed sensing in Hilbert spaces.
CoRR, 2017

Compressive Statistical Learning with Random Feature Moments.
CoRR, 2017

Beyond Moore-Penrose Part II: The Sparse Pseudoinverse.
CoRR, 2017

Beyond Moore-Penrose Part I: Generalized Inverses that Minimize Matrix Norms.
CoRR, 2017

Multi-modal EEG and fMRI Source Estimation Using Sparse Constraints.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

SuBiC: A Supervised, Structured Binary Code for Image Search.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Compressive K-means.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

AUDASCITY: AUdio denoising by adaptive social CosparsITY.
Proceedings of the 25th European Signal Processing Conference, 2017

Analyzing the approximation error of the fast graph Fourier transform.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Sketched clustering via hybrid approximate message passing.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Spatial and rotation invariant 3D gesture recognition based on sparse representation.
Proceedings of the 2017 IEEE Symposium on 3D User Interfaces, 2017

2016
Learning Co-Sparse Analysis Operators With Separable Structures.
IEEE Trans. Signal Process., 2016

Physics-Driven Inverse Problems Made Tractable With Cosparse Regularization.
IEEE Trans. Signal Process., 2016

A Necessary Condition for Waveforms With Better PAPR Than OFDM.
IEEE Trans. Commun., 2016

Introduction to the Issue on Structured Matrices in Signal and Data Processing.
IEEE J. Sel. Top. Signal Process., 2016

Flexible Multilayer Sparse Approximations of Matrices and Applications.
IEEE J. Sel. Top. Signal Process., 2016

Approximate Fast Fourier Transforms on graphs via multi-layer sparse approximations.
CoRR, 2016

Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016

Adaptive Tone Reservation for Better BER Performance in a Frequency Selective Fading Channel.
Proceedings of the IEEE 83rd Vehicular Technology Conference, 2016

A framework for low-complexity signal recovery and its application to structured sparsity.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Compressive Spectral Clustering.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Accelerated spectral clustering using graph filtering of random signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Membrane shape and boundary conditions estimation using eigenmode decomposition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Are there approximate fast fourier transforms on graphs?
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Sketching for large-scale learning of mixture models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Joint estimation of sound source location and boundary impedance with physics-driven cosparse regularization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Power spectral density limitations of the wavelet-OFDM system.
Proceedings of the 24th European Signal Processing Conference, 2016

Approximate Search with Quantized Sparse Representations.
Proceedings of the Computer Vision - ECCV 2016, 2016

2015
Dynamic Screening: Accelerating First-Order Algorithms for the Lasso and Group-Lasso.
IEEE Trans. Signal Process., 2015

Sample Complexity of Dictionary Learning and Other Matrix Factorizations.
IEEE Trans. Inf. Theory, 2015

Sparse and Spurious: Dictionary Learning With Noise and Outliers.
IEEE Trans. Inf. Theory, 2015

Brain-Source Imaging: From sparse to tensor models.
IEEE Signal Process. Mag., 2015

Explicit Embeddings for Nearest Neighbor Search with Mercer Kernels.
J. Math. Imaging Vis., 2015

Stable recovery of low-dimensional cones in Hilbert spaces: One RIP to rule them all.
CoRR, 2015

Random sampling of bandlimited signals on graphs.
CoRR, 2015

Recipes for stable linear embeddings from Hilbert spaces to $\mathbb{R}^m$.
CoRR, 2015

Flexible Multi-layer Sparse Approximations of Matrices and Applications.
CoRR, 2015

Chasing butterflies: In search of efficient dictionaries.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sparsity and Cosparsity for Audio Declipping: A Flexible Non-convex Approach.
Proceedings of the Latent Variable Analysis and Signal Separation, 2015

Linear embeddings of low-dimensional subsets of a Hilbert space to R<sup>m</sup>.
Proceedings of the 23rd European Signal Processing Conference, 2015

Symmetrical EEG-FMRI imaging by sparse regularization.
Proceedings of the 23rd European Signal Processing Conference, 2015

FAμST: Speeding up linear transforms for tractable inverse problems.
Proceedings of the 23rd European Signal Processing Conference, 2015

Localization of spatially distributed brain sources after a tensor-based preprocessing of interictal epileptic EEG data.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Tensor decomposition exploiting structural constraints for brain source imaging.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Convex Optimization Approaches for Blind Sensor Calibration Using Sparsity.
IEEE Trans. Signal Process., 2014

Convex Regularizations for the Simultaneous Recording of Room Impulse Responses.
IEEE Trans. Signal Process., 2014

Fundamental Performance Limits for Ideal Decoders in High-Dimensional Linear Inverse Problems.
IEEE Trans. Inf. Theory, 2014

From Blind to Guided Audio Source Separation: How models and side information can improve the separation of sound.
IEEE Signal Process. Mag., 2014

Closed-form approximations of the peak-to-average power ratio distribution for multi-carrier modulation and their applications.
EURASIP J. Adv. Signal Process., 2014

Learning computationally efficient dictionaries and their implementation as fast transforms.
CoRR, 2014

Proceedings of the second "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'14).
CoRR, 2014

Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit.
CoRR, 2014

On the sample complexity of sparse dictionary learning.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Brain source localization using a physics-driven structured cosparse representation of EEG signals.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

A PAPR upper bound of generalized waveforms for multi-carrier modulation systems.
Proceedings of the 6th International Symposium on Communications, 2014

Projection onto the cosparse set is NP-hard.
Proceedings of the IEEE International Conference on Acoustics, 2014

Hearing behind walls: Localizing sources in the room next door with cosparsity.
Proceedings of the IEEE International Conference on Acoustics, 2014

Compressed sensing with unknown sensor permutation.
Proceedings of the IEEE International Conference on Acoustics, 2014

A performance study of various brain source imaging approaches.
Proceedings of the IEEE International Conference on Acoustics, 2014

Separable cosparse Analysis Operator learning.
Proceedings of the 22nd European Signal Processing Conference, 2014

Closed-form approximations of the PAPR distribution for Multi-Carrier Modulation systems.
Proceedings of the 22nd European Signal Processing Conference, 2014

A dynamic screening principle for the Lasso.
Proceedings of the 22nd European Signal Processing Conference, 2014

Fast, variation-based methods for the analysis of extended brain sources.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Constrained Overcomplete Analysis Operator Learning for Cosparse Signal Modelling.
IEEE Trans. Signal Process., 2013

Joint k-Step Analysis of Orthogonal Matching Pursuit and Orthogonal Least Squares.
IEEE Trans. Inf. Theory, 2013

Exact Recovery Conditions for Sparse Representations With Partial Support Information.
IEEE Trans. Inf. Theory, 2013

The restricted isometry property meets nonlinear approximation with redundant frames.
J. Approx. Theory, 2013

Spatial location priors for Gaussian model based reverberant audio source separation.
EURASIP J. Adv. Signal Process., 2013

Projection Onto The k-Cosparse Set is NP-Hard
CoRR, 2013

Reconciling "priors" & "priors" without prejudice?
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

A conjugate gradient algorithm for blind sensor calibration in sparse recovery.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Compressive Gaussian Mixture estimation.
Proceedings of the IEEE International Conference on Acoustics, 2013

A fundamental pitfall in blind deconvolution with sparse and shift-invariant priors.
Proceedings of the IEEE International Conference on Acoustics, 2013

Compressed sensing and best approximation from unions of subspaces: Beyond dictionaries.
Proceedings of the 21st European Signal Processing Conference, 2013

Blind phase calibration in sparse recovery.
Proceedings of the 21st European Signal Processing Conference, 2013

2012
Compressible Distributions for High-Dimensional Statistics.
IEEE Trans. Inf. Theory, 2012

Audio Inpainting.
IEEE Trans. Speech Audio Process., 2012

Latent variable analysis and signal separation.
Signal Process., 2012

A tractable framework for estimating and combining spectral source models for audio source separation.
Signal Process., 2012

Universal and efficient compressed sensing by spread spectrum and application to realistic Fourier imaging techniques.
EURASIP J. Adv. Signal Process., 2012

Local stability and robustness of sparse dictionary learning in the presence of noise
CoRR, 2012

Coherence-based Partial Exact Recovery Condition for OMP/OLS.
CoRR, 2012

Noise aware analysis operator learning for approximately cosparse signals.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sparse underwater acoustic imaging: A case study.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Physics-driven structured cosparse modeling for source localization.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Blind calibration for compressed sensing by convex optimization.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Some Uniqueness Results in Sparse Convolutive Source Separation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011
Should Penalized Least Squares Regression be Interpreted as Maximum A Posteriori Estimation?
IEEE Trans. Signal Process., 2011

Fast orthogonal sparse approximation algorithms over local dictionaries.
Signal Process., 2011

The Cosparse Analysis Model and Algorithms
CoRR, 2011

A compressed sensing approach to the simultaneous recording of multiple room impulse responses.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011

Cosparse analysis modeling - uniqueness and algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2011

An acoustically-motivated spatial prior for under-determined reverberant source separation.
Proceedings of the IEEE International Conference on Acoustics, 2011

Multichannel harmonic and percussive component separation by joint modeling of spatial and spectral continuity.
Proceedings of the IEEE International Conference on Acoustics, 2011

A wideband doubly-sparse approach for MITO sparse filter estimation.
Proceedings of the IEEE International Conference on Acoustics, 2011

A constrained matching pursuit approach to audio declipping.
Proceedings of the IEEE International Conference on Acoustics, 2011

Analysis operator learning for overcomplete cosparse representations.
Proceedings of the 19th European Signal Processing Conference, 2011

Iterative cosparse projection algorithms for the recovery of cosparse vectors.
Proceedings of the 19th European Signal Processing Conference, 2011

Recovery of cosparse signals with Greedy Analysis Pursuit in the presence of noise.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Cyclic pure greedy algorithms for recovering compressively sampled sparse signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
A robust method to count and locate audio sources in a multichannel underdetermined mixture.
IEEE Trans. Signal Process., 2010

Blind Audiovisual Source Separation Based on Sparse Redundant Representations.
IEEE Trans. Multim., 2010

Dictionary identification: sparse matrix-factorization via l1-minimization.
IEEE Trans. Inf. Theory, 2010

Beyond the Narrowband Approximation: Wideband Convex Methods for Under-Determined Reverberant Audio Source Separation.
IEEE Trans. Speech Audio Process., 2010

Under-Determined Reverberant Audio Source Separation Using a Full-Rank Spatial Covariance Model.
IEEE Trans. Speech Audio Process., 2010

Sparse Representations in Audio and Music: From Coding to Source Separation.
Proc. IEEE, 2010

Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation.
Proceedings of the 10th International Conference on Information Sciences, 2010

An L1 criterion for dictionary learning by subspace identification.
Proceedings of the IEEE International Conference on Acoustics, 2010

Under-determined convolutive blind source separation using spatial covariance models.
Proceedings of the IEEE International Conference on Acoustics, 2010

Double Sparsity: Towards Blind Estimation of Multiple Channels.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Crystal-MUSIC: Accurate Localization of Multiple Sources in Diffuse Noise Environments Using Crystal-Shaped Microphone Arrays.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

Under-Determined Reverberant Audio Source Separation Using Local Observed Covariance and Auditory-Motivated Time-Frequency Representation.
Proceedings of the Latent Variable Analysis and Signal Separation, 2010

2009
Restricted isometry constants where l<sup>p</sup>sparse recovery can fail for 0 < p <= 1.
IEEE Trans. Inf. Theory, 2009

Probabilistic scoring using decision trees for fast and scalable speaker recognition.
Speech Commun., 2009

Wavelets on Graphs via Spectral Graph Theory
CoRR, 2009

Dictionary Identification - Sparse Matrix-Factorisation via ℓ<sub>1</sub>-Minimisation
CoRR, 2009

An investigation of discrete-state discriminant approaches to single-sensor source separation.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

Spatial covariance models for under-determined reverberant audio source separation.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2009

Underdetermined Instantaneous Audio Source Separation via Local Gaussian Modeling.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

A Sparsity-Based Method to Solve Permutation Indeterminacy in Frequency-Domain Convolutive Blind Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Blind Spectral-GMM Estimation for Underdetermined Instantaneous Audio Source Separation.
Proceedings of the Independent Component Analysis and Signal Separation, 2009

Compressive sampling of pulse trains: Spread the spectrum!
Proceedings of the IEEE International Conference on Acoustics, 2009

A low complexity Orthogonal Matching Pursuit for sparse signal approximation with shift-invariant dictionaries.
Proceedings of the IEEE International Conference on Acoustics, 2009

Dictionary learning for the sparse modelling of atrial fibrillation in ECG signals.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Beyond sparsity: Recovering structured representations by <i>l</i><sup>1</sup>{\ell}^1 minimization and greedy algorithms.
Adv. Comput. Math., 2008

Blind audiovisual separation based on redundant representations.
Proceedings of the IEEE International Conference on Acoustics, 2008

Shift-invariant dictionary learning for sparse representations: Extending K-SVD.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Under-determined source separation via mixed-norm regularized minimization.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Dictionary identifiability from few training samples.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Learning Multimodal Dictionaries.
IEEE Trans. Image Process., 2007

Adaptation of Bayesian Models for Single-Channel Source Separation and its Application to Voice/Music Separation in Popular Songs.
IEEE Trans. Speech Audio Process., 2007

Oracle estimators for the benchmarking of source separation algorithms.
Signal Process., 2007

Average Case Analysis of Multichannel Thresholding.
Proceedings of the IEEE International Conference on Acoustics, 2007

A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Anechoic Mixture.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
On the exponential convergence of matching pursuits in quasi-incoherent dictionaries.
IEEE Trans. Inf. Theory, 2006

Performance measurement in blind audio source separation.
IEEE Trans. Speech Audio Process., 2006

Audio source separation with a single sensor.
IEEE Trans. Speech Audio Process., 2006

Experiments in audio source separation with one sensor for robust speech recognition.
Speech Commun., 2006

A simple test to check the optimality of a sparse signal approximation.
Signal Process., 2006

Sparse approximations in signal and image processing.
Signal Process., 2006

Learning Multi-modal Dictionaries: Application to Audiovisual Data.
Proceedings of the Multimedia Content Representation, 2006

Mptk: Matching Pursuit Made Tractable.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

MoTIF: An Efficient Algorithm for Learning Translation Invariant Dictionaries.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Under-Determined Source Separation: Comparison of Two Approaches Based on Sparse Decompositions.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A Robust Method to Count and Locate Audio Sources in a Stereophonic Linear Instantaneous Mixture.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

A survey of Sparse Component Analysis for blind source separation: principles, perspectives, and new challenges.
Proceedings of the 14th European Symposium on Artificial Neural Networks, 2006

2005

From projection pursuit and CART to adaptive discriminant analysis?
IEEE Trans. Neural Networks, 2005

Decision trees with improved efficiency for fast speaker verification.
Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

Learning unions of orthonormal bases with thresholded singular value decomposition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A simple test to check the optimality of sparse signal approximations.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Nonlinear approximation with redundant dictionaries.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
On the Strong Uniqueness of Highly Sparse Representations from Redundant Dictionaries.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003
Harmonic decomposition of audio signals with matching pursuit.
IEEE Trans. Signal Process., 2003

Sparse representations in unions of bases.
IEEE Trans. Inf. Theory, 2003

Audio source separation with one sensor for robust speech recognition.
Proceedings of the ITRW on Non-Linear Speech Processing, 2003

Sparse decompositions in "incoherent" dictionaries.
Proceedings of the 2003 International Conference on Image Processing, 2003

A granular approach for the analysis of monophonic audio signals.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Non negative sparse representation for Wiener based source separation with a single sensor.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Sparse decomposition of stereo signals with Matching Pursuit and application to blind separation of more than two sources from a stereo mixture.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Fast matching pursuit with a multiscale dictionary of Gaussian chirps.
IEEE Trans. Signal Process., 2001

A Counter-Example to the General Convergence of Partially Greedy Algorithms.
J. Approx. Theory, 2001

Approximate Weak Greedy Algorithms.
Adv. Comput. Math., 2001

1996
Sound Signals Decomposition Using a High Resolution Matching Pursuit.
Proceedings of the 1996 International Computer Music Conference, 1996


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