Videos

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Autoencoders for dimensionality reduction in molecular dynamics: Collective variable dimension, biasing, and transition states Thumbnail

Autoencoders for dimensionality reduction in molecular dynamics: Collective variable dimension, biasing, and transition states

Presenter
  • Paraskevi Gkeka
April 24, 2024
IMSI
Denoising Force Fields Thumbnail

Denoising Force Fields

Presenter
  • Marloes Arts
April 23, 2024
IMSI
Jelani Nelson - New local differentially private protocols for frequency and mean estimation Thumbnail

Jelani Nelson - New local differentially private protocols for frequency and mean estimation

Presenter
  • Jelani Nelson
February 26, 2024
IPAM
Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA Thumbnail

Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA

Presenter
  • Juan Carrasquilla
October 16, 2023
IPAM

Multifidelity Deep Operator Networks

Presenter
  • Amanda Howard
June 7, 2023
ICERM
Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning Thumbnail

Samuel Blau - High-Throughput DFT and Monte Carlo for Reaction Networks and Machine Learning

Presenter
  • Samuel Blau
May 1, 2023
IPAM
Got (optimal) milk? Thumbnail

Got (optimal) milk?

Presenter
  • Timothy Chan
April 4, 2023
IMSI
Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA Thumbnail

Hamsa Bastani - Decision-Aware Learning for Global Health Supply Chains - IPAM at UCLA

Presenter
  • Hamsa Bastani
March 1, 2023
IPAM
Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA Thumbnail

Xavier Bresson - Learning to Untangle Genome Assembly Graphs - IPAM at UCLA

Presenter
  • Xavier Bresson
February 27, 2023
IPAM
Jutta Rogal - Machine learning collective variables for sampling of structural transformations Thumbnail

Jutta Rogal - Machine learning collective variables for sampling of structural transformations

Presenter
  • Jutta Rogal
January 26, 2023
IPAM
Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2 Thumbnail

Mohammed AlQuraishi - OpenFold: Lessons and insights from rebuilding and retraining AlphaFold2

Presenter
  • Mohammed AlQuraishi
January 23, 2023
IPAM
Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA Thumbnail

Osbert Bastani - Interpretable Machine Learning via Program Synthesis - IPAM at UCLA

Presenter
  • Osbert Bastani
January 10, 2023
IPAM