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Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms
Presenter
- Stefan Chmiela
January 25, 2023
IPAM
Kyunghyun Cho - Lab-in-the-loop de novo antibody design - what are we missing from machine learning?
Presenter
- Kyunghyun Cho
January 25, 2023
IPAM
Algebraic Cycles, L-Values, and Euler Systems Introductory Workshop: Euler Systems, L-Values, and All That: a Brief Introduction Pt II
Presenter
- Chris Skinner
January 25, 2023
SLMath
Algebraic Cycles, L-Values, and Euler Systems Introductory Workshop: The Perrin-Riou Map and its Use in Iwasawa Theory Pt I
Presenter
- Antonio Lei
January 25, 2023
SLMath
The Study of Wave Interactions: Where Beautiful Mathematical Ideas Come Together
Presenter
- Gigliola Staffilani
January 25, 2023
IAS
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Presenter
- Steve Brunton
January 24, 2023
IPAM
Rafael Gomez Bombarelli - End-to-end learning and auto-differentiation: forces, uncertainties, etc.
Presenter
- Rafael Gomez-Bombarelli
January 24, 2023
IPAM
Kristin Persson - Data-Driven Design for Energy Materials - IPAM at UCLA
Presenter
- Kristin Persson
January 24, 2023
IPAM
Tommi Jaakola - Diffusion based distributional modeling of conformers, blind docking and proteins
Presenter
- Tommi Jaakola
January 24, 2023
IPAM
Mark Tuckerman - From A to B via a synthesis of rare-event sampling and machine learning
Presenter
- Mark Tuckerman
January 24, 2023
IPAM
Algebraic Cycles, L-Values, and Euler Systems Introductory Workshop: Universal Norms and (Phi,Gamma)-Modules
Presenter
- Laurent Berger
January 24, 2023
SLMath
The Erdős-Szekeres problem in three (and higher) dimensions
Presenter
- Cosmin Pohoata
January 24, 2023
IAS