Stéphane Mallat

According to our database1, Stéphane Mallat authored at least 108 papers between 1989 and 2024.

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Awards

IEEE Fellow

IEEE Fellow 2005, "For contributions to the theory and practice of wavelet signal processing.".

Timeline

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Bibliography

2024
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities.
CoRR, 2024

Generalization in diffusion models arises from geometry-adaptive harmonic representations.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Generalization in diffusion models arises from geometry-adaptive harmonic representation.
CoRR, 2023

Scattering Spectra Models for Physics.
CoRR, 2023

A Rainbow in Deep Network Black Boxes.
CoRR, 2023

Conditionally Strongly Log-Concave Generative Models.
Proceedings of the International Conference on Machine Learning, 2023

Learning multi-scale local conditional probability models of images.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Particle gradient descent model for point process generation.
Stat. Comput., 2022

Wavelet Conditional Renormalization Group.
CoRR, 2022

Scale Dependencies and Self-Similarity Through Wavelet Scattering Covariance.
CoRR, 2022

Wavelet Score-Based Generative Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Phase Collapse in Neural Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Generalized rectifier wavelet covariance models for texture synthesis.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Separation and Concentration in Deep Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Kymatio: Scattering Transforms in Python.
J. Mach. Learn. Res., 2020

Deep Network Classification by Scattering and Homotopy Dictionary Learning.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
Joint Time-Frequency Scattering.
IEEE Trans. Signal Process., 2019

Maximum Entropy Models from Phase Harmonic Covariances.
CoRR, 2019

Statistical learning of geometric characteristics of wireless networks.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Maximum-entropy Scattering Models for Financial Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Kymatio: Scattering Transforms in Python.
CoRR, 2018

Phase Harmonics and Correlation Invariants in Convolutional Neural Networks.
CoRR, 2018

Classification with Joint Time-Frequency Scattering.
CoRR, 2018

Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties.
CoRR, 2018

Music Generation and Transformation with Moment Matching-Scattering Inverse Networks.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

Generative networks as inverse problems with Scattering transforms.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Wavelet Scattering Regression of Quantum Chemical Energies.
Multiscale Model. Simul., 2017

Multiscale Hierarchical Convolutional Networks.
CoRR, 2017

Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016
Rigid Motion Model for Audio Source Separation.
IEEE Trans. Signal Process., 2016

Understanding Deep Convolutional Networks.
CoRR, 2016

Wavelet Scattering on the Pitch Spiral.
CoRR, 2016

Inverse Problems with Invariant Multiscale Statistics.
CoRR, 2016

2015
Manifold Learning for Latent Variable Inference in Dynamical Systems.
IEEE Trans. Signal Process., 2015

Phase recovery, MaxCut and complex semidefinite programming.
Math. Program., 2015

Transformée en scattering sur la spirale temps-chroma-octave.
CoRR, 2015

Quantum Energy Regression using Scattering Transforms.
CoRR, 2015

Deep Haar Scattering Networks.
CoRR, 2015

Joint time-frequency scattering for audio classification.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Deep roto-translation scattering for object classification.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Deep Scattering Spectrum.
IEEE Trans. Signal Process., 2014

Scattering Transform for Intrapartum Fetal Heart Rate Variability Fractal Analysis: A Case-Control Study.
IEEE Trans. Biomed. Eng., 2014

Rigid-Motion Scattering for Texture Classification.
CoRR, 2014

Generic Deep Networks with Wavelet Scattering.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Phase retrieval for the Cauchy wavelet transform.
CoRR, 2014

Unsupervised Learning by Deep Scattering Contractions.
CoRR, 2014

Unsupervised Deep Haar Scattering on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Audio source separation with time-frequency velocities.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Invariant Scattering Convolution Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Deep Learning by Scattering.
CoRR, 2013

Audio Texture Synthesis with Scattering Moments.
CoRR, 2013

Wavelet methods for shape perception in electro-sensing.
CoRR, 2013

Representing environmental sounds using the separable scattering transform.
Proceedings of the IEEE International Conference on Acoustics, 2013

Scattering transform for intrapartum fetal heart rate characterization and acidosis detection.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity.
IEEE Trans. Image Process., 2012

Combined scattering for rotation invariant texture analysis.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
Bandlet image estimation with model selection.
Signal Process., 2011

Group Invariant Scattering
CoRR, 2011

Classification with invariant scattering representations.
Proceedings of the IEEE 10th Image, 2011

Multiscale Scattering for Audio Classification.
Proceedings of the 12th International Society for Music Information Retrieval Conference, 2011

Classification with scattering operators.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Super-Resolution With Sparse Mixing Estimators.
IEEE Trans. Image Process., 2010

Image modeling and enhancement via structured sparse model selection.
Proceedings of the International Conference on Image Processing, 2010

Geometric models with co-occurrence groups.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Structured pursuits for geometric super-resolution.
Proceedings of the International Conference on Image Processing, 2009

A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition.
Academic Press, ISBN: 978-0-12-374370-1, 2009

2008
Audio Denoising by Time-Frequency Block Thresholding.
IEEE Trans. Signal Process., 2008

2007
A review of Bandlet methods for geometrical image representation.
Numer. Algorithms, 2007

Audio Signal Denoising with Complex Wavelets and Adaptive Block Attenuation.
Proceedings of the IEEE International Conference on Acoustics, 2007

2005
Surface compression with geometric bandelets.
ACM Trans. Graph., 2005

Sparse geometric image representations with bandelets.
IEEE Trans. Image Process., 2005

Bandelet Image Approximation and Compression.
Multiscale Model. Simul., 2005

Discrete bandelets with geometric orthogonal filters.
Proceedings of the 2005 International Conference on Image Processing, 2005

2003
Locally stationary covariance and signal estimation with macrotiles.
IEEE Trans. Signal Process., 2003

Deconvolution by thresholding in mirror wavelet bases.
IEEE Trans. Image Process., 2003

Geometrical image compression with bandelets.
Proceedings of the Visual Communications and Image Processing 2003, 2003

2002
The Texture Gradient Equation for Recovering Shape from Texture.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001
Bandelet representations for image compression.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Image Compression with Geometrical Wavelets.
Proceedings of the 2000 International Conference on Image Processing, 2000

1999
On denoising and best signal representation.
IEEE Trans. Inf. Theory, 1999

Silhouette recognition using high-resolution pursuit.
Pattern Recognit., 1999

Thresholding estimators for minimax restoration and deconvolution.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999

Shape from Texture through Deformations.
Proceedings of the International Conference on Computer Vision, 1999

A Wavelet Tour of Signal Processing, 2nd Edition.
Academic Press, ISBN: 978-0-12-466606-1, 1999

1998
Analysis of low bit rate image transform coding.
IEEE Trans. Signal Process., 1998

Low bit rate image coding over bases.
Proceedings of the Fourteenth International Conference on Pattern Recognition, 1998

Image Deconvolution in Mirror Wavelet Bases.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Wavelet interpolation networks.
Proceedings of the 6th European Symposium on Artificial Neural Networks, 1998

1996
Wavelets for a vision.
Proc. IEEE, 1996

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

1995
Multiscale geometrical feature extraction and object recognition with wavelets and morphology.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Matching pursuit of images.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

Best basis algorithm for signal enhancement.
Proceedings of the 1995 International Conference on Acoustics, 1995

Geometric interpretation of multiaccess joint detection and the alternating projection algorithm.
Proceedings of the 1995 International Conference on Acoustics, 1995

1993
Matching pursuits with time-frequency dictionaries.
IEEE Trans. Signal Process., 1993

Adaptive time-frequency transform.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Singularity detection and processing with wavelets.
IEEE Trans. Inf. Theory, 1992

Introduction to the special issue on wavelet transforms and multiresolution signal analysis.
IEEE Trans. Inf. Theory, 1992

Characterization of Signals from Multiscale Edges.
IEEE Trans. Pattern Anal. Mach. Intell., 1992

Singularities and noise discrimination with wavelets.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Zero-crossings of a wavelet transform.
IEEE Trans. Inf. Theory, 1991

Compact image coding from edges with wavelets.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Signal characterization from multiscale edges.
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990

Compact image representation from multiscale edges.
Proceedings of the Third International Conference on Computer Vision, 1990

1989
Multifrequency channel decompositions of images and wavelet models.
IEEE Trans. Acoust. Speech Signal Process., 1989

A Theory for Multiresolution Signal Decomposition: The Wavelet Representation.
IEEE Trans. Pattern Anal. Mach. Intell., 1989


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