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Learning the committor, free energy profile, and rates with ML-driven path sampling simulations
Presenter
- Roberto Covino
April 22, 2024
IMSI
Bruno Correia - Exploring new molecular representations for the design of biological function
Presenter
- Bruno Correia
January 26, 2023
IPAM
Xavier Bresson - Graph MLP-Mixer for Molecular Analysis - IPAM at UCLA
Presenter
- Xavier Bresson
January 25, 2023
IPAM
Shiwei Zhang - Auxiliary-field methods for quantum materials - IPAM at UCLA
Presenter
- Shiwei Zhang
May 23, 2022
IPAM
A Machine Learning Application in Multi-Messenger Astrophysics
Presenter
- Irene Di Palma
October 7, 2021
IPAM
New Algorithms for Similarity Search in High Dimensions
Presenter
- Piotr Indyk
September 15, 2016
IMA
Jelena Diakonikolas - Robust Learning of a Neuron: Bridging Computational Gaps Using Optimization
Presenter
- Jelena Diakonikolas
February 29, 2024
IPAM
Randomization, Neutrality, and Fairness: "Sampling, Optimization, and Evaluating Tradeoffs in Redistricting"
Presenter
- Daryl DeFord
October 26, 2023
SLMath
Advances in Probabilistic Generative Modeling for Scientific Machine Learning
Presenter
- Fei Sha
June 11, 2025
IMSI
Addressing some computational and modeling challenges in phylogenomic analysis
Presenter
- Minh Bui
November 20, 2024
ICERM