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Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides
Presenter
- Andrew Ferguson
September 9, 2019
IPAM
Machine learning approaches for a few optimization problems involving lines-of-sight
Presenter
- Richard Tsai
May 2, 2019
IPAM
Machine Learning: Dynamical, Economic and Stochastic Perspectives
Presenter
- Michael Jordan
January 23, 2019
MBI
Machine learning: from genetics to gene editing to protein optimization
Presenter
- Jennifer Listgarten
November 8, 2018
IPAM
Physics-Constrained Data-Driven Modeling : A Vision for Prediction, Design and Operation of Complex Systems
Presenter
- Karthik Duraisamy
March 8, 2018
IMA
Machine learning methods for physics and chemistry 2: Deep learning
Presenter
- Frank Noé
September 15, 2017
IPAM
Machine learning methods for physics and chemistry 1: Regression and Kernel methods
Presenter
- Frank Noé
September 15, 2017
IPAM
