Stéphane Mallat is affiliated with the École Normale Supérieure in France and has focused their research primarily in the field of Computer Science. Their work spans several specialized subfields, including Computer Vision and Pattern Recognition, Artificial Intelligence, Economics and Econometrics, Astronomy and Astrophysics, and Signal Processing.
The scientist's research covers a variety of topics, including Complex Systems and Time Series Analysis, Image and Signal Denoising Methods, Generative Adversarial Networks and Image Synthesis, Cosmology and Gravitation Theories, Gaussian Processes and Bayesian Inference, Time Series Analysis and Forecasting, and Financial Risk and Volatility Modeling.
Stéphane Mallat has published extensively, with notable papers including:
The primary venues for publication include arXiv (Cornell University), SSRN Electronic Journal, L'annuaire du Collège de France, HAL (Le Centre pour la Communication Scientifique Directe), and Physical review. D/Physical review. D.
Frequent coauthors of Stéphane Mallat include Florentin Guth, Rudy Morel, Gaspar Rochette, Zahra Kadkhodaie, and Eero P. Simoncelli.
Awards received by the scientist include membership in the National Academy of Engineering in 2017 for contributions to the fast wavelet transform and multiresolution signal processing, and recognition as a Fellow of the Alfred P. Sloan Foundation in 1993.
S.G. Mallat
Stéphane Mallat
S.G. Mallat;Zhifeng Zhang
S. Mallat;W.L. Hwang
S. Mallat;S. Zhong
S.G. Mallat
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S. G. Mallat;Gabriel Peyré
J. Bruna;S. Mallat
Stéphane Mallat
G. Davis;S. Mallat;M. Avellaneda
S. Mallat
Stéphane Mallat
E. Le Pennec;S. Mallat
Stéphane Mallat
Irène Waldspurger;Alexandre D'aspremont;Stéphane Mallat
Joakim Andén;Stéphane Mallat
Guoshen Yu;G. Sapiro;S. Mallat
Geoffrey M. Davis;Stephane G. Mallat;Zhifeng Zhang
Laurent Sifre;Stephane Mallat
S. Mallat
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