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Robert Lipton - Fracture as an emergent phenomenon - IPAM at UCLA
Presenter
- Robert Lipton
April 18, 2023
IPAM
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
Presenter
- Gabor Csányi
April 17, 2023
IPAM
Xiantao Li - A stochastic algorithm for self-consistent calculations in DFT - IPAM at UCLA
Presenter
- Xiantao Li
April 17, 2023
IPAM
Mitchell Luskin - Computing at the Moiré Scale - IPAM at UCLA
Presenter
- Mitchell Luskin
April 17, 2023
IPAM
Eric Cances - Error estimators for Density-Functional Theory - IPAM at UCLA
Presenter
- Eric Cances
March 30, 2023
IPAM
Danny Perez - Scalable approaches to long-time atomistic dynamics: a journey to the exascale
Presenter
- Danny Perez
March 28, 2023
IPAM
Anders Nikklasson - Quantum-Mechanical Molecular Dynamics for Distributed Computing and AI-hardware
Presenter
- Anders Nikklasson
March 27, 2023
IPAM
Pascal Van Hentenryck - Fusing Machine Learning and Optimization - IPAM at UCLA
Presenter
- Pascal Van Hentenryck
March 1, 2023
IPAM
Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA
Presenter
- Timo Berthold
March 1, 2023
IPAM
Ellen Vitercik - Leveraging Reviews: Learning to Price with Buyer and Seller Uncertainty
Presenter
- Ellen Vitercik
February 28, 2023
IPAM
Thomas Laurent - Feature Learning and Generalization on a Discrete Data Model - IPAM at UCLA
Presenter
- Thomas Laurent
February 28, 2023
IPAM