A Multiscale tour of Harmonic Analysis and Machine Learning

A Multiscale tour of Harmonic Analysis and Machine LearningTo Celebrate Stéphane Mallat’s 60th birthdayStéphane 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, VanderbiltFrancis Bach, INRIARichard Baraniuk, RiceFreddy Bruckstein, TechnionEmmanuel Candès, StanfordMaureen Clerc, INRIAMaarten De Hoop, RiceDave Donoho, StanfordMichael Elad, TechnionRémi Gribonval, INRIAStéphane Jaffard, CréteilJérôme Kalifa, Let it CareHamid Krim, North Carolina State UniversityGitta Kutyniok, MünchenYann LeCun, New York University, and MetaEric Moulines, PolytechniqueEdouard Oyallon, CNRS and SorbonneNaoki Saito, UC DavisGuillermo Sapiro, DukeShihab Shamma, MarylandEero Simoncelli, New York UniversityJean-Jacques Slotine, MITMichael Unser, EPFLMartin Vetterli, EPFLIrène Waldspurger, CNRS and DauphineBin Yu, Berkeley