Videos

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Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions Thumbnail

Stefanie Jegelka - Two aspects of learning algorithms: generalization under shifts & loss functions

Presenter
  • Stefanie Jegelka
March 2, 2023
IPAM
Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA Thumbnail

Petar Veličković - Reasoning Algorithmically: from Toy Experiments to AGI Modules - IPAM at UCLA

Presenter
  • Petar Veličković
March 2, 2023
IPAM
Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA Thumbnail

Geordie Williamson - What can the working mathematician expect from deep learning? - IPAM at UCLA

Presenter
  • Geordie Williamson
February 13, 2023
IPAM
Xavier Bresson - Graph MLP-Mixer for Molecular Analysis - IPAM at UCLA Thumbnail

Xavier Bresson - Graph MLP-Mixer for Molecular Analysis - IPAM at UCLA

Presenter
  • Xavier Bresson
January 25, 2023
IPAM
Bolei Zhou - From Network Dissection to Policy Dissection: Emergent Concepts in Deep Representations Thumbnail

Bolei Zhou - From Network Dissection to Policy Dissection: Emergent Concepts in Deep Representations

Presenter
  • Bolei Zhou
January 9, 2023
IPAM
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA Thumbnail

Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA

Presenter
  • Kevin Kelly
December 2, 2022
IPAM
Yonina Eldar - Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA Thumbnail

Yonina Eldar - Model Based Deep Learning with Application to Super Resolution - IPAM at UCLA

Presenter
  • Yonina Eldar
October 27, 2022
IPAM
Learning from defaults Thumbnail

Learning from defaults

Presenter
  • Stephane Crepey
May 9, 2022
IMSI

Tutorial: Path recovery from signature feature representation

Presenter
  • Weixin Yang
July 8, 2021
ICERM
Tensor-train decomposition and its applications in machine learning Thumbnail

Tensor-train decomposition and its applications in machine learning

Presenter
  • Ivan Oseledets
April 21, 2021
IPAM
Sparse Random Features for Function Approximation Thumbnail

Sparse Random Features for Function Approximation

Presenter
  • Rachel Ward
April 13, 2021
IMSI
Statistical and Machine Learning Methods Applied to the Prediction of Tropical Rainfall Thumbnail

Statistical and Machine Learning Methods Applied to the Prediction of Tropical Rainfall

Presenter
  • Mikyoung Jun
March 5, 2021
IMSI