Videos

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Learning from Censored and Dependent Data Thumbnail

Learning from Censored and Dependent Data

Presenter
  • Constantinos Daskalakis
March 9, 2020
IAS
Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture Thumbnail

Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture

Presenter
  • Angela Schoellig
February 28, 2020
IPAM
Machine learning with neural networks: the importance of data structure Thumbnail

Machine learning with neural networks: the importance of data structure

Presenter
  • Marc Mezard
November 21, 2019
IPAM
Machine learning for atomic and molecular simulations Thumbnail

Machine learning for atomic and molecular simulations

Presenter
  • Michele Ceriotti
November 18, 2019
IPAM
Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces Thumbnail

Machine Learning and Dynamical Systems meet in Reproducing Kernel Hilbert Spaces

Presenter
  • Boumediene Hamzi
October 28, 2019
IPAM
Machine Learning for Fluid Mechanics Thumbnail

Machine Learning for Fluid Mechanics

Presenter
  • Petros Koumoutsakos
October 28, 2019
IPAM
Machine learning for molecular simulations: priors and predictive constraints Thumbnail

Machine learning for molecular simulations: priors and predictive constraints

Presenter
  • Tristan Bereau
October 18, 2019
IPAM
Machine Learning Thumbnail

Machine Learning

Presenter
  • Surya Ganguli
October 18, 2019
IAS
Machine learning based multi-scale modeling Thumbnail

Machine learning based multi-scale modeling

Presenter
  • Weinan E
October 15, 2019
IPAM
Machine learning for lattice field theory Thumbnail

Machine learning for lattice field theory

Presenter
  • Phiala Shanahan
September 26, 2019
IPAM
Machine Learning of Quantum Chemical Space Thumbnail

Machine Learning of Quantum Chemical Space

Presenter
  • Alexandre Tkatchenko
September 23, 2019
IPAM
Machine learning-enabled enhanced sampling in biomolecular simulation and data-driven design of self-assembling photonic crystals and optoelectonic π-conjugated oligopeptides Thumbnail

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