Videos

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Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA Thumbnail

Wu Lin - A framework for designing (non-diagonal) adaptive training methods - IPAM at UCLA

Presenter
  • Wu Lin
October 14, 2024
IPAM
Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA Thumbnail

Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA

Presenter
  • Nikos Tsilivis
October 14, 2024
IPAM
Elvis Dohmatob - The Mathematics of Scaling Laws and Model Collapse in AI - IPAM at UCLA Thumbnail

Elvis Dohmatob - The Mathematics of Scaling Laws and Model Collapse in AI - IPAM at UCLA

Presenter
  • Elvis Dohmatob
October 14, 2024
IPAM
Morning Session: Deep Learning (Chair: Jian Kang) Thumbnail

Morning Session: Deep Learning (Chair: Jian Kang)

Presenter
  • Morning Session
August 26, 2024
IMSI
New Paradigms in Deep Optical Coding Design: Distillation Thumbnail

New Paradigms in Deep Optical Coding Design: Distillation

Presenter
  • Henry Arguello
August 8, 2024
IMSI
Unpacking Data Needs for Deep Learning Based Imaging Thumbnail

Unpacking Data Needs for Deep Learning Based Imaging

Presenter
  • Reinhard Heckel
August 7, 2024
IMSI
Recent Advances in the Deep Potential Method for Molecular Simulation Thumbnail

Recent Advances in the Deep Potential Method for Molecular Simulation

Presenter
  • Roberto Car
March 25, 2024
IMSI

On the Connection between Deep Neural Networks and Kernel Methods

Presenter
  • Ronen Basri
June 28, 2023
ICERM

Transfer learning in deep operator networks

Presenter
  • Somdatta Goswami
June 7, 2023
ICERM
Jason Rute - Deep learning in interactive theorem proving - IPAM at UCLA Thumbnail

Jason Rute - Deep learning in interactive theorem proving - IPAM at UCLA

Presenter
  • Jason Rute
February 16, 2023
IPAM
Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA Thumbnail

Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA

Presenter
  • Bin Yu
January 9, 2023
IPAM
Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA Thumbnail

Palina Salanevich - STFT Phase retrieval: robustness and generative priors - IPAM at UCLA

Presenter
  • Palina Salanevich
December 2, 2022
IPAM