A Multiscale tour of Harmonic Analysis and Machine Learning
To Celebrate Stéphane Mallat's 60th birthday
Stéphane Mallat, professor at the Collège de France in data science, will be honored during a three-day workshop, April 19-21, 2023, organized by Joan Bruna, New York Univ., and Gabriel Peyré, CNRS-ENS, on the occasion of his 60th birthday.
The purpose of this meeting is to bring together some of the characters of Data Analysis and Machine Learning, past, present, and future – and to celebrate the 60th birthday of a leading one, Stéphane Mallat, professor at Collège de France.
His journey through Harmonic Analysis, Machine Learning, and Physics has profoundly influenced how these areas have evolved and blended together, and are now breaking new ground in our theoretical understanding of modern data analysis.
Speakers:
- Akram Aldroubi, Vanderbilt
- Francis Bach, INRIA
- Richard Baraniuk, Rice
- Freddy Bruckstein, Technion
- Emmanuel Candès, Stanford
- Maureen Clerc, INRIA
- Maarten De Hoop, Rice
- Dave Donoho, Stanford
- Michael Elad, Technion
- Rémi Gribonval, INRIA
- Stéphane Jaffard, Créteil
- Jérôme Kalifa, Let it Care
- Hamid Krim, North Carolina State University
- Gitta Kutyniok, München
- Yann LeCun, New York University, and Meta
- Eric Moulines, Polytechnique
- Edouard Oyallon, CNRS and Sorbonne
- Naoki Saito, UC Davis
- Guillermo Sapiro, Duke
- Shihab Shamma, Maryland
- Eero Simoncelli, New York University
- Jean-Jacques Slotine, MIT
- Michael Unser, EPFL
- Martin Vetterli, EPFL
- Irène Waldspurger, CNRS and Dauphine
- Bin Yu, Berkeley
