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Some things you need to know about machine learning but didn't know whom to ask (the grad school version)
Presenter
- Sanjeev Arora
February 5, 2018
IAS
Grain Boundary Physics, Machine Learning, and the "SOAP" Formalism
Presenter
- Gus Hart
November 16, 2016
IPAM
The blessing and the curse of the multiplicative updates - discusses connections between in vitro selection, and the multiplicative updates of online learning
Presenter
- Manfred K Warmuth
March 27, 2012
IMA
Transport- and Measure-Theoretic Approaches for Dynamical System Modeling
Presenter
- Yunan Yang
October 10, 2025
IMSI
Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport
Presenter
- Stanley Osher
July 14, 2025
IPAM
Transport- and Measure-Theoretic Approaches for Dynamical System Modeling
Presenter
- Yunan Yang
June 12, 2025
IMSI
Accelerated predictions of the sublimation enthalpy of organic materials with machine learning
Presenter
- Yifan Liu
April 21, 2025
IMSI
Modeling Molecular Kinetics with Koopman Operators and Kernel-based Learning
Presenter
- Feliks N\u00fcske
May 13, 2024
IMSI
Sampling Complex Energy Landscapes in Material Science Using Data-Driven Force Fields
Presenter
- Cosmin Marinica
April 12, 2024
IMSI
Vedran Dunjko - Exponential separations between classical and quantum learners - IPAM at UCLA
Presenter
- Vedran Dunjko
October 19, 2023
IPAM