Videos

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Eran Rabani - Stochastic Density Functional Theory Thumbnail

Eran Rabani - Stochastic Density Functional Theory

Presenter
  • Eran Rabani
May 23, 2022
IPAM
Jonathan Weare - A fast Jacobi iteration with repeated random sparsification Thumbnail

Jonathan Weare - A fast Jacobi iteration with repeated random sparsification

Presenter
  • Jonathan Weare
May 23, 2022
IPAM

Knot theory and machine learning

Presenter
  • András Juhász
April 21, 2022
ICERM
Knot Theory and Machine Learning Thumbnail

Knot Theory and Machine Learning

Presenter
  • Andras Juhasz
March 28, 2022
IAS

GEOMETRIC AND TOPOLOGICAL APPROACHES TO REPRESENTATION LEARNING IN BIOMEDICAL DATA

Presenter
  • Smita Krishnaswamy
December 16, 2021
ICERM
Geometric and Topological Approaches to Representation Learning in Biomedical Data Thumbnail

Geometric and Topological Approaches to Representation Learning in Biomedical Data

Presenter
  • Smita Krishnaswamy
August 31, 2021
IMSI
Blending physics and machine learning to improve climate projections Thumbnail

Blending physics and machine learning to improve climate projections

Presenter
  • Laure Zanna
October 9, 2020
IMSI
Data Development and Deep Learning for HJB Equations Thumbnail

Data Development and Deep Learning for HJB Equations

Presenter
  • Wei Kang
April 2, 2020
IPAM
Safe and Efficient Exploration in Reinforcement Learning Thumbnail

Safe and Efficient Exploration in Reinforcement Learning

Presenter
  • Andreas Krause
February 26, 2020
IPAM
Quantum annealing and machine learning - new directions of quantum Thumbnail

Quantum annealing and machine learning - new directions of quantum

Presenter
  • Masayuki Ohzeki
November 19, 2019
IPAM
Machine learning for atomic and molecular simulations Thumbnail

Machine learning for atomic and molecular simulations

Presenter
  • Michele Ceriotti
November 18, 2019
IPAM
Learning dynamical laws from data in classical and quantum settings Thumbnail

Learning dynamical laws from data in classical and quantum settings

Presenter
  • Jens Eisert
October 29, 2019
IPAM