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Stochastic Surface Walking Method for Reaction Sampling and the Combination with Machine Learning
Presenter
- Zhi-Pan Liu
October 20, 2017
IPAM
Using machine learning to map the structure and predict the properties of materials and molecules
Presenter
- Michele Ceriotti
September 27, 2016
IPAM
Intelligent learning: similarity control and knowledge transfer
Presenter
- Vladimir Vapnik
March 30, 2015
IAS
High-throughput Data and New representations for Models and Machine Learning
Presenter
- Gus Hart
February 24, 2015
IPAM
Statistical Learning and Bayesian Inference and Topology
Presenter
- Sayan Mukherjee
October 2, 2013
IMA
Recent Developments in RandNLA: Random Matrix Theory for Modern Machine Learning?
Presenter
- Michael Mahoney
February 2, 2026
ICERM
Guang Lin - Scalable algorithms for Bayesian deep learning via stochastic gradient Monte Carlo
Presenter
- Guang Lin
July 16, 2025
IPAM
A Neural Network Approach to Learning Steady States and Their Stability of Parametric Dynamical Systems
Presenter
- Xiaochuan Tian
May 15, 2024
IMSI
Learning the committor, free energy profile, and rates with ML-driven path sampling simulations
Presenter
- Roberto Covino
April 22, 2024
IMSI