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Unpacking the ingredients of atomic representations: machine learning force fields and beyond
Presenter
- Jigyasa Nigam
April 9, 2024
IMSI
Di Fang - Numerical Analysis for Hamiltonian Simulation and Hamiltonian Learning - IPAM at UCLA
Presenter
- Di Fang
February 7, 2024
IPAM
Nonstandard minimax rates in nonparametric latent variable models and representation learning
Presenter
- Bryon Aragam
December 11, 2023
IMSI
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning
Presenter
- Samuel Blau
May 1, 2023
IPAM
Large Neighborhood Search for ILPs with Relaxation-based and Contrastive-Learning-based Heuristics
Presenter
- Bistra Dilkina
April 28, 2023
ICERM
On Dantzig-Wolfe Relaxation of Rank Constrained Optimization: Exactness, Rank Bounds, and Algorithms
Presenter
- Weijun Xie
March 3, 2023
ICERM
Scalable Gaussian-Process Inference Using Vecchia Approximations
Presenter
- Matthias Katzfuss
August 30, 2022
IMSI
Dealing with COVID-19 in Theory and Practice: Session II: Data Science I
Presenters
- Mihaela van der Schaar
- Michael Jordan
October 29, 2020
IMSI
Understanding machine learning via exactly solvable statistical physics models
Presenter
- Lenka Zdeborova
November 18, 2019
IPAM
The interplay between physically motivated simulations and machine learning
Presenter
- Kyle Cranmer
September 9, 2019
IPAM
Physics-Constrained Data-Driven Modeling : A Vision for Prediction, Design and Operation of Complex Systems
Presenter
- Karthik Duraisamy
March 8, 2018
IMA