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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
Boris Kozinsky - Uncertainty-aware machine learning models of many-body atomic interactions
Presenter
- Boris Kozinsky
April 17, 2023
IPAM
Nikolaus Kriegskorte - Controversial stimuli: experiments to adjudicate computational hypotheses
Presenter
- Nikolaus Kriegskorte
January 13, 2023
IPAM
Finding a neutrino in a haystack: computational challenges for the IceCube Neutrino Observatory
Presenter
- Nathan Whitehorn
December 1, 2021
IPAM
Beyond matrices: higher-order tensor methods meet computational biology
Presenter
- Miaoyan Wang
September 2, 2021
IMSI
Stochastic gradient descent for noise with ML-type scaling
Presenter
- Stephan Wojtowytsch
July 9, 2021
ICERM
espilon-Strong Simulation of Stochastic Differential Equations Driven by Levy Processes
Presenter
- Jing Dong
July 9, 2021
ICERM