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Algorithms, Approximation, and Learning in Market and Mechanism Design: "Beyond Classical Fisher Markets: Nonconvexities and Online Allocations"
Presenter
- Yinyu Ye
November 7, 2023
SLMath
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA
Presenter
- Michele Ceriotti
May 3, 2023
IPAM
Frederic Legoll - Parareal algorithms for molecular dynamics simulations - IPAM at UCLA
Presenter
- Frederic Legoll
April 21, 2023
IPAM
Sambit Das - Computation of core energetics of pyramidal dislocation in Mg & Mg-Y alloy using DFT-FE
Presenter
- Sambit Das
April 21, 2023
IPAM
James Kermode - Multiscale and data-driven methods for the simulation of material failure
Presenter
- James Kermode
April 19, 2023
IPAM
Thomas Swinburne - Learning uncertainty-aware models of defect kinetics at scale - IPAM at UCLA
Presenter
- Thomas Swinburne
April 19, 2023
IPAM
David Bowler - Large-scale and linear scaling DFT: why we need it, and how we do it - IPAM at UCLA
Presenter
- David Bowler
March 29, 2023
IPAM
Evrim Acar - Constrained Multimodal Data Mining using Coupled Matrix and Tensor Factorizations
Presenter
- Evrim Acar
January 11, 2023
IPAM
Ian Robinson - Progress towards Machine Learning Phasing for Bragg Coherent Diffractive Imaging
Presenter
- Ian Robinson
October 13, 2022
IPAM
Katie Bouman - Capturing the First Portrait of Our Milky Way's Black Hole & Beyond - IPAM at UCLA
Presenter
- Katie Bouman
October 12, 2022
IPAM