Conferences & Workshops

Organizers:
Steve Bradlow, University of Illinois at Urbana-Champaign
Georgios Daskalopoulos, Brown University
Antonella Grassi, University of Pennsylvania/Università di Bologna
Dan Freed, University of Texas, Austin

Summary:
Karen Uhlenbeck’s...

Organizers: 
Brian Conrey, American Institute of Mathematics
Jon Keating, University of Oxford
Hugh Montgomery, University of Michigan
Kannan Soundararajan, Stanford University

Summary:
On April 6, 1972 a young graduate student named Hugh Montgomery and...

Organizers: Tristan Buckmaster, Camillo De Lellis, Vladimir Sverak and László Székelyhidi Jr.

Summary:  The aim of the workshop was to bring together researchers working in incompressible fluid dynamics, with a special emphasis on the topics of...

MSRI and the Mathematical...

Organizers: Kai Cieliebak, Camillo De Lellis, Yakov Eliashberg, Emmy Murphy, László Székelyhidi Jr.

The aim of the workshop was to bring together researchers working in different areas of geometry, dynamical systems, and PDEs which have been and...

The workshop was organized by Geordie Williamson(IAS/University of Sydney) and took place virtually.

Geometric representation theory has proved itself to be an unreasonably effective tool in pure mathematics. This conference (the...

The workshop was organized by Geordie Williamson(IAS/University of Sydney) and will took place virtually.

Geometric representation theory is proving itself to be an unreasonably effective tool in mathematics. This conference will...

The workshop was organized by Laura Balzano (IAS/University of Michigan), Bianca Dumitrascu (IAS/ SAMSI), and Boaz Nadler (IAS/Weizmann Institute of Science) and will take place virtually.

Missing data is ubiquitous in statistical...

Organizers:

The workshop was organized by Sanjeev Arora (IAS/Princeton University), Roger Grosse (IAS/Univ Toronto), Sham Kakade (Univ Washington), Bin Yu (IAS/UC Berkeley).

We sought to bring together a diverse group of researchers, focusing...

The workshop was by invitation-only.

Can the dramatic recent progress in machine learning lead to conceptual advances in the social sciences and humanities? Although we have access to social and cultural datasets of unprecedented scale, quality...