Stéphane Mallat

132 papers A* 14B 8C 1Misc 6Journal 81Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MGD: Moment Guided Diffusion for Maximum Entropy Generation. CoRR Etienne Lempereur, Nathanaël Cuvelle-Magar, Florentin Coeurdoux, Stéphane Mallat, Eric Vanden-Eijnden
2026	J	`jnl`	Training-Free Generative Modeling via Kernelized Stochastic Interpolants. CoRR Florentin Coeurdoux, Etienne Lempereur, Nathanaël Cuvelle-Magar, Thomas Eboli, Stéphane Mallat, Anastasia Borovykh, Eric Vanden-Eijnden
2025	J	`jnl`	Beyond sparse denoising in frames: minimax estimation with a scattering transform. CoRR Nathanaël Cuvelle-Magar, Stéphane Mallat
2025	J	`jnl`	Elucidating the representation of images within an unconditional diffusion model denoiser. CoRR Zahra Kadkhodaie, Stéphane Mallat, Eero P. Simoncelli
2024	J	`jnl`	A Rainbow in Deep Network Black Boxes. J. Mach. Learn. Res. Florentin Guth, Brice Ménard, Gaspar Rochette, Stéphane Mallat
2024	J	`jnl`	Feature-guided score diffusion for sampling conditional densities. CoRR Zahra Kadkhodaie, Stéphane Mallat, Eero P. Simoncelli
2024	A*	`conf`	Generalization in diffusion models arises from geometry-adaptive harmonic representations. ICLR Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat
2024	J	`jnl`	Hierarchic Flows to Estimate and Sample High-dimensional Probabilities. CoRR Etienne Lempereur, Stéphane Mallat
2023	J	`jnl`	A Rainbow in Deep Network Black Boxes. CoRR Florentin Guth, Brice Ménard, Gaspar Rochette, Stéphane Mallat
2023	A*	`conf`	Conditionally Strongly Log-Concave Generative Models. ICML Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat
2023	J	`jnl`	Conditionally Strongly Log-Concave Generative Models. CoRR Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat
2023	J	`jnl`	Generalization in diffusion models arises from geometry-adaptive harmonic representation. CoRR Zahra Kadkhodaie, Florentin Guth, Eero P. Simoncelli, Stéphane Mallat
2023	A*	`conf`	Learning multi-scale local conditional probability models of images. ICLR Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli
2023	J	`jnl`	Learning multi-scale local conditional probability models of images. CoRR Zahra Kadkhodaie, Florentin Guth, Stéphane Mallat, Eero P. Simoncelli
2023	J	`jnl`	Scattering Spectra Models for Physics. CoRR Sihao Cheng, Rudy Morel, Erwan Allys, Brice Ménard, Stéphane Mallat
2022	J	`jnl`	Generalized Rectifier Wavelet Covariance Models For Texture Synthesis. CoRR Antoine Brochard, Sixin Zhang, Stéphane Mallat
2022	A*	`conf`	Generalized rectifier wavelet covariance models for texture synthesis. ICLR Antoine Brochard, Sixin Zhang, Stéphane Mallat
2022	J	`jnl`	Particle gradient descent model for point process generation. Stat. Comput. Antoine Brochard, Bartlomiej Blaszczyszyn, Sixin Zhang, Stéphane Mallat
2022	A*	`conf`	Phase Collapse in Neural Networks. ICLR Florentin Guth, John Zarka, Stéphane Mallat
2022	J	`jnl`	Scale Dependencies and Self-Similarity Through Wavelet Scattering Covariance. CoRR Rudy Morel, Gaspar Rochette, Roberto Leonarduzzi, Jean-Philippe Bouchaud, Stéphane Mallat
2022	J	`jnl`	Wavelet Conditional Renormalization Group. CoRR Tanguy Marchand, Misaki Ozawa, Giulio Biroli, Stéphane Mallat
2022	A*	`conf`	Wavelet Score-Based Generative Modeling. NeurIPS Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat
2022	J	`jnl`	Wavelet Score-Based Generative Modeling. CoRR Florentin Guth, Simon Coste, Valentin De Bortoli, Stéphane Mallat
2021	J	`jnl`	Phase Collapse in Neural Networks. CoRR Florentin Guth, John Zarka, Stéphane Mallat
2021	A*	`conf`	Separation and Concentration in Deep Networks. ICLR John Zarka, Florentin Guth, Stéphane Mallat
2020	A*	`conf`	Deep Network Classification by Scattering and Homotopy Dictionary Learning. ICLR John Zarka, Louis Thiry, Tomás Angles, Stéphane Mallat
2020	J	`jnl`	Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. 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 Cella, Michael Eickenberg
2020	J	`jnl`	Particle gradient descent model for point process generation. CoRR Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
2020	J	`jnl`	Separation and Concentration in Deep Networks. CoRR John Zarka, Florentin Guth, Stéphane Mallat
2019	J	`jnl`	Deep Network classification by Scattering and Homotopy dictionary learning. CoRR John Zarka, Louis Thiry, Tomás Angles, Stéphane Mallat
2019	J	`jnl`	Joint Time-Frequency Scattering. IEEE Trans. Signal Process. Joakim Andén, Vincent Lostanlen, Stéphane Mallat
2019	J	`jnl`	Maximum Entropy Models from Phase Harmonic Covariances. CoRR Sixin Zhang, Stéphane Mallat
2019	Misc	`conf`	Maximum-entropy Scattering Models for Financial Time Series. ICASSP Roberto Leonarduzzi, Gaspar Rochette, Jean-Phillipe Bouchaud, Stéphane Mallat
2019	A*	`conf`	Statistical learning of geometric characteristics of wireless networks. INFOCOM Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
2018	J	`jnl`	Classification with Joint Time-Frequency Scattering. CoRR Joakim Andén, Vincent Lostanlen, Stéphane Mallat
2018	—	`conf`	Generative networks as inverse problems with Scattering transforms. ICLR (Poster) Tomás Angles, Stéphane Mallat
2018	J	`jnl`	Generative networks as inverse problems with Scattering transforms. CoRR Tomás Angles, Stéphane Mallat
2018	J	`jnl`	Kymatio: Scattering Transforms in Python. CoRR 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 Cella, Michael Eickenberg
2018	—	`conf`	Music Generation and Transformation with Moment Matching-Scattering Inverse Networks. ISMIR Mathieu Andreux, Stéphane Mallat
2018	J	`jnl`	Phase Harmonics and Correlation Invariants in Convolutional Neural Networks. CoRR Stéphane Mallat, Sixin Zhang, Gaspar Rochette
2018	J	`jnl`	Solid Harmonic Wavelet Scattering for Predictions of Molecule Properties. CoRR Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat, Louis Thiry
2018	J	`jnl`	Statistical learning of geometric characteristics of wireless networks. CoRR Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
2017	J	`jnl`	Multiscale Hierarchical Convolutional Networks. CoRR Jörn-Henrik Jacobsen, Edouard Oyallon, Stéphane Mallat, Arnold W. M. Smeulders
2017	—	`conf`	Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities. NIPS Michael Eickenberg, Georgios Exarchakis, Matthew J. Hirn, Stéphane Mallat
2017	J	`jnl`	Wavelet Scattering Regression of Quantum Chemical Energies. Multiscale Model. Simul. Matthew J. Hirn, Stéphane Mallat, Nicolas Poilvert
2016	J	`jnl`	Inverse Problems with Invariant Multiscale Statistics. CoRR Ivan Dokmanic, Joan Bruna, Stéphane Mallat, Maarten V. de Hoop
2016	J	`jnl`	Rigid Motion Model for Audio Source Separation. IEEE Trans. Signal Process. Guy Wolf, Stéphane Mallat, Shihab A. Shamma
2016	J	`jnl`	Understanding Deep Convolutional Networks. CoRR Stéphane Mallat
2016	J	`jnl`	Wavelet Scattering on the Pitch Spiral. CoRR Vincent Lostanlen, Stéphane Mallat
2015	J	`jnl`	Deep Haar Scattering Networks. CoRR Xiuyuan Cheng, Xu Chen, Stéphane Mallat
2015	A*	`conf`	Deep roto-translation scattering for object classification. CVPR Edouard Oyallon, Stéphane Mallat
2015	J	`jnl`	Joint Time-Frequency Scattering for Audio Classification. CoRR Joakim Andén, Vincent Lostanlen, Stéphane Mallat
2015	—	`conf`	Joint time-frequency scattering for audio classification. MLSP Joakim Andén, Vincent Lostanlen, Stéphane Mallat
2015	J	`jnl`	Manifold Learning for Latent Variable Inference in Dynamical Systems. IEEE Trans. Signal Process. Ronen Talmon, Stéphane Mallat, Hitten Zaveri, Ronald R. Coifman
2015	J	`jnl`	Phase recovery, MaxCut and complex semidefinite programming. Math. Program. Irène Waldspurger, Alexandre d'Aspremont, Stéphane Mallat
2015	J	`jnl`	Quantum Energy Regression using Scattering Transforms. CoRR Matthew J. Hirn, Nicolas Poilvert, Stéphane Mallat
2015	J	`jnl`	Transformée en scattering sur la spirale temps-chroma-octave. CoRR Vincent Lostanlen, Stéphane Mallat
2014	—	`conf`	Audio source separation with time-frequency velocities. MLSP Guy Wolf, Stéphane Mallat, Shihab A. Shamma
2014	J	`jnl`	Deep Roto-Translation Scattering for Object Classification. CoRR Edouard Oyallon, Stéphane Mallat
2014	J	`jnl`	Deep Scattering Spectrum. IEEE Trans. Signal Process. Joakim Andén, Stéphane Mallat
2014	—	`conf`	Generic Deep Networks with Wavelet Scattering. ICLR (Workshop Poster) Edouard Oyallon, Stéphane Mallat, Laurent Sifre
2014	—	`conf`	Low dimensional manifold embedding for scattering coefficients of intrapartum fetale heart rate variability. EMBC Václav Chudácek, Ronen Talmon, Joakim Andén, Stéphane Mallat, Ronald R. Coifman, Patrice Abry, Muriel Doret
2014	J	`jnl`	Phase retrieval for the Cauchy wavelet transform. CoRR Stéphane Mallat, Irène Waldspurger
2014	J	`jnl`	Rigid-Motion Scattering for Texture Classification. CoRR Laurent Sifre, Stéphane Mallat
2014	J	`jnl`	Scattering Transform for Intrapartum Fetal Heart Rate Variability Fractal Analysis: A Case-Control Study. IEEE Trans. Biomed. Eng. Václav Chudácek, Joakim Andén, Stéphane Mallat, Patrice Abry, Muriel Doret
2014	—	`conf`	Unsupervised Deep Haar Scattering on Graphs. NIPS Xu Chen, Xiuyuan Cheng, Stéphane Mallat
2014	J	`jnl`	Unsupervised Learning by Deep Scattering Contractions. CoRR Xu Chen, Xiuyuan Cheng, Stéphane Mallat
2013	J	`jnl`	Audio Texture Synthesis with Scattering Moments. CoRR Joan Bruna, Stéphane Mallat
2013	J	`jnl`	Deep Learning by Scattering. CoRR Stéphane Mallat
2013	J	`jnl`	Deep Scattering Spectrum CoRR Joakim Andén, Stéphane Mallat
2013	J	`jnl`	Invariant Scattering Convolution Networks. IEEE Trans. Pattern Anal. Mach. Intell. Joan Bruna, Stéphane Mallat
2013	Misc	`conf`	Representing environmental sounds using the separable scattering transform. ICASSP Carlo Bauge, Mathieu Lagrange, Joakim Andén, Stéphane Mallat
2013	A*	`conf`	Rotation, Scaling and Deformation Invariant Scattering for Texture Discrimination. CVPR Laurent Sifre, Stéphane Mallat
2013	—	`conf`	Scattering transform for intrapartum fetal heart rate characterization and acidosis detection. EMBC Václav Chudácek, Joakim Andén, Stéphane Mallat, Patrice Abry, Muriel Doret
2013	J	`jnl`	Wavelet methods for shape perception in electro-sensing. CoRR Habib Ammari, Stéphane Mallat, Irène Waldspurger, Han Wang
2012	B	`conf`	Combined scattering for rotation invariant texture analysis. ESANN Laurent Sifre, Stéphane Mallat
2012	J	`jnl`	Invariant Scattering Convolution Networks CoRR Joan Bruna, Stéphane Mallat
2012	J	`jnl`	Solving Inverse Problems With Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity. IEEE Trans. Image Process. Guoshen Yu, Guillermo Sapiro, Stéphane Mallat
2011	J	`jnl`	Bandlet image estimation with model selection. Signal Process. Charles Dossal, Erwan Le Pennec, Stéphane Mallat
2011	J	`jnl`	Classification with Invariant Scattering Representations CoRR Joan Bruna, Stéphane Mallat
2011	—	`conf`	Classification with invariant scattering representations. IVMSP Joan Bruna, Stéphane Mallat
2011	A*	`conf`	Classification with scattering operators. CVPR Joan Bruna, Stéphane Mallat
2011	J	`jnl`	Geometric Models with Co-occurrence Groups CoRR Joan Bruna, Stéphane Mallat
2011	J	`jnl`	Group Invariant Scattering CoRR Stéphane Mallat
2011	—	`conf`	Multiscale Scattering for Audio Classification. ISMIR Joakim Andén, Stéphane Mallat
2010	J	`jnl`	Classification with Scattering Operators CoRR Joan Bruna, Stéphane Mallat
2010	B	`conf`	Geometric models with co-occurrence groups. ESANN Joan Bruna, Stéphane Mallat
2010	B	`conf`	Image modeling and enhancement via structured sparse model selection. ICIP Guoshen Yu, Guillermo Sapiro, Stéphane Mallat
2010	J	`jnl`	Solving Inverse Problems with Piecewise Linear Estimators: From Gaussian Mixture Models to Structured Sparsity CoRR Guoshen Yu, Guillermo Sapiro, Stéphane Mallat
2010	J	`jnl`	Super-Resolution With Sparse Mixing Estimators. IEEE Trans. Image Process. Stéphane Mallat, Guoshen Yu
2009	—	`book`	A Wavelet Tour of Signal Processing - The Sparse Way, 3rd Edition. Stéphane Mallat
2009	B	`conf`	Structured pursuits for geometric super-resolution. ICIP Stéphane Mallat, Guoshen Yu
2008	J	`jnl`	Audio Denoising by Time-Frequency Block Thresholding. IEEE Trans. Signal Process. Guoshen Yu, Stéphane Mallat, Emmanuel Bacry
2007	J	`jnl`	A review of Bandlet methods for geometrical image representation. Numer. Algorithms Stéphane Mallat, Gabriel Peyré
2007	—	`conf`	Audio Signal Denoising with Complex Wavelets and Adaptive Block Attenuation. ICASSP (3) Guoshen Yu, Emmanuel Bacry, Stéphane Mallat
2005	J	`jnl`	Bandelet Image Approximation and Compression. Multiscale Model. Simul. Erwan Le Pennec, Stéphane Mallat
2005	—	`conf`	Discrete bandelets with geometric orthogonal filters. ICIP (1) Gabriel Peyré, Stéphane Mallat
2005	J	`jnl`	Sparse geometric image representations with bandelets. IEEE Trans. Image Process. Erwan Le Pennec, Stéphane Mallat
2005	J	`jnl`	Surface compression with geometric bandelets. ACM Trans. Graph. Gabriel Peyré, Stéphane Mallat
2003	J	`jnl`	Deconvolution by thresholding in mirror wavelet bases. IEEE Trans. Image Process. Jérôme Kalifa, Stéphane Mallat, Bernard Rougé
2003	C	`conf`	Geometrical image compression with bandelets. VCIP Erwan Le Pennec, Stéphane Mallat
2003	J	`jnl`	Locally stationary covariance and signal estimation with macrotiles. IEEE Trans. Signal Process. David L. Donoho, Stéphane Mallat, Rainer von Sachs, Yann Samuelides
2002	J	`jnl`	The Texture Gradient Equation for Recovering Shape from Texture. IEEE Trans. Pattern Anal. Mach. Intell. Maureen Clerc, Stéphane Mallat
2001	—	`conf`	Bandelet representations for image compression. ICIP (1) Erwan Le Pennec, Stéphane Mallat
2000	B	`conf`	Image Compression with Geometrical Wavelets. ICIP Erwan Le Pennec, Stéphane Mallat
1999	—	`book`	A Wavelet Tour of Signal Processing, 2nd Edition. Stéphane Mallat
1999	J	`jnl`	On denoising and best signal representation. IEEE Trans. Inf. Theory Hamid Krim, Dewey Tucker, Stéphane Mallat, David L. Donoho
1999	A*	`conf`	Shape from Texture through Deformations. ICCV Maureen Clerc, Stéphane Mallat
1999	J	`jnl`	Silhouette recognition using high-resolution pursuit. Pattern Recognit. Seema Jaggi, William Clement Karl, Stéphane Mallat, Alan S. Willsky
1999	—	`conf`	Thresholding estimators for minimax restoration and deconvolution. NSIP Jérôme Kalifa, Stéphane Mallat
1998	J	`jnl`	Analysis of low bit rate image transform coding. IEEE Trans. Signal Process. Stéphane Mallat, Frédéric Falzon
1998	—	`conf`	Image Deconvolution in Mirror Wavelet Bases. ICIP (1) Jérôme Kalifa, Stéphane Mallat, Bernard Rougé
1998	B	`conf`	Low bit rate image coding over bases. ICPR Frédéric Falzon, Stéphane Mallat
1998	B	`conf`	Wavelet interpolation networks. ESANN Christophe P. Bernard, Stéphane Mallat, Jean-Jacques E. Slotine
1996	—	`conf`	Sound Signals Decomposition Using a High Resolution Matching Pursuit. ICMC Rémi Gribonval, Philippe Depalle, Xavier Rodet, Emmanuel Bacry, Stéphane Mallat
1996	J	`jnl`	Wavelets for a vision. Proc. IEEE Stéphane Mallat
1995	Misc	`conf`	Best basis algorithm for signal enhancement. ICASSP Hamid Krim, Stéphane Mallat, David L. Donoho, Alan S. Willsky
1995	Misc	`conf`	Geometric interpretation of multiaccess joint detection and the alternating projection algorithm. ICASSP Rachel E. Learned, Stéphane Mallat, Bernhard Claus, Alan S. Willsky
1995	B	`conf`	Matching pursuit of images. ICIP F. Bergeaud, Stéphane Mallat
1995	—	`conf`	Multiscale geometrical feature extraction and object recognition with wavelets and morphology. ICIP (3) Seema Jaggi, Alan S. Willsky, William Clement Karl, Stéphane Mallat
1993	—	`conf`	Adaptive time-frequency transform. ICASSP (3) Stéphane Mallat, Zhifeng Zhang
1993	J	`jnl`	Matching pursuits with time-frequency dictionaries. IEEE Trans. Signal Process. Stéphane Mallat, Zhifeng Zhang
1992	J	`jnl`	Characterization of Signals from Multiscale Edges. IEEE Trans. Pattern Anal. Mach. Intell. Stéphane Mallat, Sifen Zhong
1992	J	`jnl`	Introduction to the special issue on wavelet transforms and multiresolution signal analysis. IEEE Trans. Inf. Theory Ingrid Daubechies, Stéphane Mallat, Alan S. Willsky
1992	Misc	`conf`	Singularities and noise discrimination with wavelets. ICASSP Wen-Liang Hwang, Stéphane Mallat
1992	J	`jnl`	Singularity detection and processing with wavelets. IEEE Trans. Inf. Theory Stéphane Mallat, Wen-Liang Hwang
1991	Misc	`conf`	Compact image coding from edges with wavelets. ICASSP Stéphane Mallat, Sifen Zhong
1991	J	`jnl`	Zero-crossings of a wavelet transform. IEEE Trans. Inf. Theory Stéphane Mallat
1990	A*	`conf`	Compact image representation from multiscale edges. ICCV Sifen Zhong, Stéphane Mallat
1990	—	`conf`	Signal characterization from multiscale edges. ICPR (1) Stéphane Mallat, Sifen Zhong
1989	J	`jnl`	A Theory for Multiresolution Signal Decomposition: The Wavelet Representation. IEEE Trans. Pattern Anal. Mach. Intell. Stéphane Mallat
1989	J	`jnl`	Multifrequency channel decompositions of images and wavelet models. IEEE Trans. Acoust. Speech Signal Process. Stéphane Mallat