Stéphane Mallat

Publication Activity (10 Years)

Years Active: 1989-2024
Publications (10 Years): 43

Top Venues

CoRR

ICLR

IEEE Trans. Signal Process.

NIPS

Publications

Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat
Generalization in diffusion models arises from geometry-adaptive harmonic representations. ICLR (2024)
Etienne Lempereur, Stéphane Mallat
Hierarchic Flows to Estimate and Sample High-dimensional Probabilities. CoRR (2024)
Sihao Cheng, Rudy Morel, Erwan Allys, Brice Ménard, Stéphane Mallat
Scattering Spectra Models for Physics. CoRR (2023)
Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli
Learning multi-scale local conditional probability models of images. CoRR (2023)
Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat
Generalization in diffusion models arises from geometry-adaptive harmonic representation. CoRR (2023)
Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli
Learning multi-scale local conditional probability models of images. ICLR (2023)
Florentin Guth, Brice Ménard, Gaspar Rochette, Stéphane Mallat
A Rainbow in Deep Network Black Boxes. CoRR (2023)
Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat
Conditionally Strongly Log-Concave Generative Models. CoRR (2023)
Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat
Conditionally Strongly Log-Concave Generative Models. ICML (2023)
Antoine Brochard, Bartlomiej Blaszczyszyn, Sixin Zhang, Stéphane Mallat
Particle gradient descent model for point process generation. Stat. Comput. 32 (3) (2022)
Antoine Brochard, Sixin Zhang, Stéphane Mallat
Generalized Rectifier Wavelet Covariance Models For Texture Synthesis. CoRR (2022)
Rudy Morel, Gaspar Rochette, Roberto Leonarduzzi, Jean-Philippe Bouchaud, Stéphane Mallat
Scale Dependencies and Self-Similarity Through Wavelet Scattering Covariance. CoRR (2022)
Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat
Wavelet Score-Based Generative Modeling. NeurIPS (2022)
Florentin Guth, John Zarka, Stéphane Mallat
Phase Collapse in Neural Networks. ICLR (2022)
Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat
Wavelet Score-Based Generative Modeling. CoRR (2022)
Antoine Brochard, Sixin Zhang, Stéphane Mallat
Generalized rectifier wavelet covariance models for texture synthesis. ICLR (2022)
Tanguy Marchand, Misaki Ozawa, Giulio Biroli, Stéphane Mallat
Wavelet Conditional Renormalization Group. CoRR (2022)
Florentin Guth, John Zarka, Stéphane Mallat
Phase Collapse in Neural Networks. CoRR (2021)
John Zarka, Florentin Guth, Stéphane Mallat
Separation and Concentration in Deep Networks. ICLR (2021)
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg
Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. 21 (2020)
John Zarka, Florentin Guth, Stéphane Mallat
Separation and Concentration in Deep Networks. CoRR (2020)
John Zarka, Louis Thiry, Tomás Angles, Stéphane Mallat
Deep Network Classification by Scattering and Homotopy Dictionary Learning. ICLR (2020)
Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
Particle gradient descent model for point process generation. CoRR (2020)
Joakim Andén, Vincent Lostanlen, Stéphane Mallat
Joint Time-Frequency Scattering. IEEE Trans. Signal Process. 67 (14) (2019)
Roberto Leonarduzzi, Gaspar Rochette, Jean-Phillipe Bouchaud, Stéphane Mallat
Maximum-entropy Scattering Models for Financial Time Series. ICASSP (2019)
John Zarka, Louis Thiry, Tomás Angles, Stéphane Mallat
Deep Network classification by Scattering and Homotopy dictionary learning. CoRR (2019)
Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
Statistical learning of geometric characteristics of wireless networks. INFOCOM (2019)
Sixin Zhang, Stéphane Mallat
Maximum Entropy Models from Phase Harmonic Covariances. CoRR (2019)
Tomás Angles, Stéphane Mallat
Generative networks as inverse problems with Scattering transforms. ICLR (Poster) (2018)
Joakim Andén, Vincent Lostanlen, Stéphane Mallat
Classification with Joint Time-Frequency Scattering. CoRR (2018)
Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg
Kymatio: Scattering Transforms in Python. CoRR (2018)
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry
Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. CoRR (2018)
Mathieu Andreux, Stéphane Mallat
Music Generation and Transformation with Moment Matching-Scattering Inverse Networks. ISMIR (2018)
Tomás Angles, Stéphane Mallat
Generative networks as inverse problems with Scattering transforms. CoRR (2018)
Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
Statistical learning of geometric characteristics of wireless networks. CoRR (2018)
Stéphane Mallat, Sixin Zhang, Gaspar Rochette
Phase Harmonics and Correlation Invariants in Convolutional Neural Networks. CoRR (2018)
Matthew J. Hirn, Stéphane Mallat, Nicolas Poilvert
Wavelet Scattering Regression of Quantum Chemical Energies. Multiscale Model. Simul. 15 (2) (2017)
Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. NIPS (2017)
Jörn-Henrik Jacobsen, Edouard Oyallon, Stéphane Mallat, Arnold W. M. Smeulders
Multiscale Hierarchical Convolutional Networks. CoRR (2017)
Vincent Lostanlen, Stéphane Mallat
Wavelet Scattering on the Pitch Spiral. CoRR (2016)
Stéphane Mallat
Understanding Deep Convolutional Networks. CoRR (2016)
Ivan Dokmanic, Joan Bruna, Stéphane Mallat, Maarten V. de Hoop
Inverse Problems with Invariant Multiscale Statistics. CoRR (2016)
Guy Wolf, Stéphane Mallat, Shihab Shamma
Rigid Motion Model for Audio Source Separation. IEEE Trans. Signal Process. 64 (7) (2016)
Edouard Oyallon, Stéphane Mallat
Deep roto-translation scattering for object classification. CVPR (2015)
Irène Waldspurger, Alexandre d'Aspremont, Stéphane Mallat
Phase recovery, MaxCut and complex semidefinite programming. Math. Program. 149 (1-2) (2015)
Matthew J. Hirn, Nicolas Poilvert, Stéphane Mallat
Quantum Energy Regression using Scattering Transforms. CoRR (2015)
Joakim Andén, Vincent Lostanlen, Stéphane Mallat
Joint Time-Frequency Scattering for Audio Classification. CoRR (2015)
Joakim Andén, Vincent Lostanlen, Stéphane Mallat
Joint time-frequency scattering for audio classification. MLSP (2015)
Vincent Lostanlen, Stéphane Mallat
Transformée en scattering sur la spirale temps-chroma-octave. CoRR (2015)
Xiuyuan Cheng, Xu Chen, Stéphane Mallat
Deep Haar Scattering Networks. CoRR (2015)
Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman
Manifold Learning for Latent Variable Inference in Dynamical Systems. IEEE Trans. Signal Process. 63 (15) (2015)
Joakim Andén, Stéphane Mallat
Deep Scattering Spectrum. IEEE Trans. Signal Process. 62 (16) (2014)
Václav Chudácek, Joakim Andén, Stéphane Mallat, Patrice Abry, Muriel Doret
Scattering Transform for Intrapartum Fetal Heart Rate Variability Fractal Analysis: A Case-Control Study. IEEE Trans. Biomed. Eng. 61 (4) (2014)
Xu Chen, Xiuyuan Cheng, Stéphane Mallat
Unsupervised Deep Haar Scattering on Graphs. NIPS (2014)
Laurent Sifre, Stéphane Mallat
Rigid-Motion Scattering for Texture Classification. CoRR (2014)
Stéphane Mallat, Irène Waldspurger
Phase retrieval for the Cauchy wavelet transform. CoRR (2014)
Guy Wolf, Stéphane Mallat, Shihab Shamma
Audio source separation with time-frequency velocities. MLSP (2014)
Edouard Oyallon, Stéphane Mallat, Laurent Sifre
Generic Deep Networks with Wavelet Scattering. ICLR (Workshop Poster) (2014)
Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry, Muriel Doret
Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. EMBC (2014)
Xu Chen, Xiuyuan Cheng, Stéphane Mallat
Unsupervised Learning by Deep Scattering Contractions. CoRR (2014)
Edouard Oyallon, Stéphane Mallat
Deep Roto-Translation Scattering for Object Classification. CoRR (2014)
Joan Bruna, Stéphane Mallat
Audio Texture Synthesis with Scattering Moments. CoRR (2013)
Václav Chudácek, Joakim Andén, Stéphane Mallat, Patrice Abry, Muriel Doret
Scattering transform for intrapartum fetal heart rate characterization and acidosis detection. EMBC (2013)
Habib Ammari, Stéphane Mallat, Irène Waldspurger, Han Wang
Wavelet methods for shape perception in electro-sensing. CoRR (2013)
Joan Bruna, Stéphane Mallat
Invariant Scattering Convolution Networks. IEEE Trans. Pattern Anal. Mach. Intell. 35 (8) (2013)
Carlo Bauge, Mathieu Lagrange, Joakim Andén, Stéphane Mallat
Representing environmental sounds using the separable scattering transform. ICASSP (2013)
Laurent Sifre, Stéphane Mallat
Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination. CVPR (2013)
Joakim Andén, Stéphane Mallat
Deep Scattering Spectrum CoRR (2013)
Stéphane Mallat
Deep Learning by Scattering. CoRR (2013)
Laurent Sifre, Stéphane Mallat
Combined scattering for rotation invariant texture analysis. ESANN (2012)
Joan Bruna, Stéphane Mallat
Invariant Scattering Convolution Networks CoRR (2012)
Guoshen Yu, Guillermo Sapiro, Stéphane Mallat
Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity. IEEE Trans. Image Process. 21 (5) (2012)
Joan Bruna, Stéphane Mallat
Classification with Invariant Scattering Representations CoRR (2011)
Joakim Andén, Stéphane Mallat
Multiscale Scattering for Audio Classification. ISMIR (2011)
Stéphane Mallat
Group Invariant Scattering CoRR (2011)
Joan Bruna, Stéphane Mallat
Geometric Models with Co-occurrence Groups CoRR (2011)
Charles Dossal, Erwan Le Pennec, Stéphane Mallat
Bandlet image estimation with model selection. Signal Process. 91 (12) (2011)
Joan Bruna, Stéphane Mallat
Classification with invariant scattering representations. IVMSP (2011)
Joan Bruna, Stéphane Mallat
Classification with scattering operators. CVPR (2011)
Joan Bruna, Stéphane Mallat
Classification with Scattering Operators CoRR (2010)
Guoshen Yu, Guillermo Sapiro, Stéphane Mallat
Image modeling and enhancement via structured sparse model selection. ICIP (2010)
Guoshen Yu, Guillermo Sapiro, Stéphane Mallat
Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity CoRR (2010)
Joan Bruna, Stéphane Mallat
Geometric models with co-occurrence groups. ESANN (2010)
Stéphane Mallat, Guoshen Yu
Super-Resolution With Sparse Mixing Estimators. IEEE Trans. Image Process. 19 (11) (2010)
Stéphane Mallat, Guoshen Yu
Structured pursuits for geometric super-resolution. ICIP (2009)
Guoshen Yu, Stéphane Mallat, Emmanuel Bacry
Audio Denoising by Time-Frequency Block Thresholding. IEEE Trans. Signal Process. 56 (5) (2008)
Guoshen Yu, Emmanuel Bacry, Stéphane Mallat
Audio Signal Denoising with Complex Wavelets and Adaptive Block Attenuation. ICASSP (3) (2007)
Stéphane Mallat, Gabriel Peyré
A review of Bandlet methods for geometrical image representation. Numer. Algorithms 44 (3) (2007)
Erwan Le Pennec, Stéphane Mallat
Bandelet Image Approximation and Compression. Multiscale Model. Simul. 4 (3) (2005)
Gabriel Peyré, Stéphane Mallat
Surface compression with geometric bandelets. ACM Trans. Graph. 24 (3) (2005)
Erwan Le Pennec, Stéphane Mallat
Sparse geometric image representations with bandelets. IEEE Trans. Image Process. 14 (4) (2005)
Gabriel Peyré, Stéphane Mallat
Discrete bandelets with geometric orthogonal filters. ICIP (1) (2005)
David L. Donoho, Stéphane Mallat, Rainer von Sachs, Yann Samuelides
Locally stationary covariance and signal estimation with macrotiles. IEEE Trans. Signal Process. 51 (3) (2003)
Jérôme Kalifa, Stéphane Mallat, Bernard Rougé
Deconvolution by thresholding in mirror wavelet bases. IEEE Trans. Image Process. 12 (4) (2003)
Erwan Le Pennec, Stéphane Mallat
Geometrical image compression with bandelets. VCIP (2003)
Maureen Clerc, Stéphane Mallat
The Texture Gradient Equation for Recovering Shape from Texture. IEEE Trans. Pattern Anal. Mach. Intell. 24 (4) (2002)
Erwan Le Pennec, Stéphane Mallat
Bandelet representations for image compression. ICIP (1) (2001)
Erwan Le Pennec, Stéphane Mallat
Image Compression with Geometrical Wavelets. ICIP (2000)
Seema Jaggi, William Clement Karl, Stéphane Mallat, Alan S. Willsky
Silhouette recognition using high-resolution pursuit. Pattern Recognit. 32 (5) (1999)
Jérôme Kalifa, Stéphane Mallat
Thresholding estimators for minimax restoration and deconvolution. NSIP (1999)

Stéphane Mallat.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Stéphane Mallat