Videos

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From stochastic control to continuous-time reinforcement learning Thumbnail

From stochastic control to continuous-time reinforcement learning

Presenter
  • Yufei Zhang
May 23, 2022
IMSI
Convergence of Empirical Measures, Mean-Field Games and Deep Learning Algorithms Thumbnail

Convergence of Empirical Measures, Mean-Field Games and Deep Learning Algorithms

Presenter
  • Ruimeng Hu
May 23, 2022
IMSI
Datamodels: Predicting Predictions with Training Data Thumbnail

Datamodels: Predicting Predictions with Training Data

Presenter
  • Aleksander Madry
March 7, 2022
SLMath
Machine learning-assisted ensemble calculations of the physical properties of disordered colloidal composites Thumbnail

Machine learning-assisted ensemble calculations of the physical properties of disordered colloidal composites

Presenter
  • Rob Coridan
March 3, 2022
IMSI
Machine Learning and Gravitational Wave Detectors Thumbnail

Machine Learning and Gravitational Wave Detectors

Presenter
  • Gabriele Vajente
December 2, 2021
IPAM
Machine Learning in the Multi-Messenger Era: Inference as a service and optimal light curve augmentation Thumbnail

Machine Learning in the Multi-Messenger Era: Inference as a service and optimal light curve augmentation

Presenter
  • Michael Coughlin
November 30, 2021
IPAM
Machine learning-based design (of proteins, small molecules and beyond) Thumbnail

Machine learning-based design (of proteins, small molecules and beyond)

Presenter
  • Jennifer Listgarten
July 7, 2020
IAS
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