Videos

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High-Performance Communication for Machine Learning Thumbnail

High-Performance Communication for Machine Learning

Presenter
  • Torsten Hoefler
November 5, 2018
IPAM
Hogwild for Machine Learning on Multicore Thumbnail

Hogwild for Machine Learning on Multicore

Presenter
  • Ben Recht
March 28, 2012
IMA
Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms Thumbnail

Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms

Presenter
  • Stefan Chmiela
January 25, 2023
IPAM
Functions with average smoothness: structure, algorithms, and learning Thumbnail

Functions with average smoothness: structure, algorithms, and learning

Presenter
  • Aryeh Kontorovich
April 12, 2021
IMSI

Machine Learning & HPC Enabled Prediction in Tokamaks

Presenter
  • William Tang
September 13, 2025
ICERM
Cartesian atomic cluster expansion for machine learning interatomic potentials Thumbnail

Cartesian atomic cluster expansion for machine learning interatomic potentials

Presenter
  • Bingqing Cheng
April 10, 2024
IMSI
Roman Orus - News on tensor Networks for machine learning and quantum computing simulation Thumbnail

Roman Orus - News on tensor Networks for machine learning and quantum computing simulation

Presenter
  • Roman Orus
February 5, 2024
IPAM

Function-space regularized divergences for machine learning applications

Presenter
  • Ioannis (Yannis) Pantazis
May 11, 2023
ICERM

Signed Cumulative Distribution Transform for Machine Learning

Presenter
  • Sumati Thareja
May 8, 2023
ICERM
Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning Thumbnail

Model-Free Mean-Field Reinforcement Learning: Mean-Field MDP and Mean-Field Q-Learning

Presenter
  • Rene Carmona
May 26, 2022
IMSI
Ewin Tang - On quantum linear algebra for machine learning Thumbnail

Ewin Tang - On quantum linear algebra for machine learning

Presenter
  • Ewin Tang
January 25, 2022
IPAM
Learning with Few Labeled Data Thumbnail

Learning with Few Labeled Data

Presenter
  • Pratik Chaudhari
October 6, 2020
IPAM