Videos

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Optimal Weak to Strong Learning Thumbnail

Optimal Weak to Strong Learning

Presenter
  • Kasper Larsen
December 5, 2022
IAS
Understanding Antarctic sea ice using climate models and satellite observations Thumbnail

Understanding Antarctic sea ice using climate models and satellite observations

Presenter
  • Lettie Roach
December 2, 2022
IMSI
Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation Thumbnail

Neural-network parameterization of subgrid momentum transport learned from a high-resolution simulation

Presenter
  • Janni Yuval
November 3, 2022
IMSI
Learning with Approximate or Distributed Topology Thumbnail

Learning with Approximate or Distributed Topology

Presenter
  • Alexander Wagner
April 29, 2021
IMSI
Functions with average smoothness: structure, algorithms, and learning Thumbnail

Functions with average smoothness: structure, algorithms, and learning

Presenter
  • Aryeh Kontorovich
April 12, 2021
IMSI

Modeling the leaky pipeline in hierarchical professions

Presenter
  • Sara Clifton
March 9, 2021
ICERM
Self-supervised learning for autonomous driving Thumbnail

Self-supervised learning for autonomous driving

Presenter
  • David Held
October 7, 2020
IPAM
Learning from Multiple Biased Sources Thumbnail

Learning from Multiple Biased Sources

Presenter
  • Clayton Scott
February 25, 2020
IAS
Online Learning in Reactive Environments Thumbnail

Online Learning in Reactive Environments

Presenter
  • Raman Arora
December 18, 2019
IAS
Unsupervised Ensemble Learning Thumbnail

Unsupervised Ensemble Learning

Presenter
  • Boaz Nadler
October 8, 2019
IAS
Deep Learning Opening Workshop: Statistical and Computational Guarantees of EM with Random Initialization, Harrison Zhou Thumbnail

Deep Learning Opening Workshop: Statistical and Computational Guarantees of EM with Random Initialization, Harrison Zhou

August 12, 2019
SAMSI
GMNN: Graph Markov Neural Networks Thumbnail

GMNN: Graph Markov Neural Networks

Presenter
  • Jian Tang
May 22, 2019
IPAM