NSF-Simons Research Collaborations on the Mathematical and Scientific Foundations of Deep Learning

 https://www.simonsfoundation.org/grant/nsf-simons-research-collaborations-on-the-mathematical-and-scientific-foundations-of-deep-learning/

Collaboration on the Theoretical Foundations of Deep Learning
Peter Bartlett — Director, University of California, Berkeley
      Bin Yu — Co-Investigator, University of California, Berkeley
Emmanuel Abbé — PI, Ecole polytechnique fédérale de Lausanne
Mikhail Belkin — PI, University of California, San Diego
Amit Daniely — PI, Hebrew University
Andrea Montanari — PI, Stanford University
Alexander Rakhlin — PI, Massachusetts Institute of Technology
      Elchanan Mossel — Co-Investigator, Massachusetts Institute of Technology
      Nike Sun — Co-Investigator, Massachusetts Institute of Technology
Roman Vershynin — PI, University of California, Irvine
Nathan Srebro — PI, Toyota Technological Institute at Chicago

Collaborative Research: Transferable, Hierarchical, Expressive, Optimal, Robust, Interpretable NETworks (THEORINET)
René Vidal — PI/Director, Johns Hopkins University
      Mauro Maggioni — Co-Investigator, Johns Hopkins University
      Joshua Vogelstein — Co-Investigator, Johns Hopkins University
      Soledad Villar — Co-Investigator, Johns Hopkins University
Gitta Kutyniok — PI, Technical University of Berlin
Guillermo Sapiro — PI, Duke University
      Ingrid Daubechies — Co-Investigator, Duke University
      Rong Ge — Co-Investigator, Duke University
Alejandro Ribeiro — PI, University of Pennsylvania
      Edgar Dobriban — Co-Investigator, University of Pennsylvania
      Robert Ghrist — Co-Investigator, University of Pennsylvania
      George Pappas — Co-Investigator, University of Pennsylvania
Yi Ma — PI, University of California, Berkeley
      S. Shankar Sastry — Co-Investigator, University of California, Berkeley
      Jacob Steinhardt — Co-Investigator, University of California, Berkeley
Emmanuel Candès — PI, Stanford University