Videos

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Modern Sensing and Physics Learning with Shallow Recurrent Decoders

Presenter
  • J. Nathan Kutz
January 22, 2025
ICERM
Scalable Gaussian-Process Inference Using Vecchia Approximations Thumbnail

Scalable Gaussian-Process Inference Using Vecchia Approximations

Presenter
  • Matthias Katzfuss
August 30, 2022
IMSI
Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition Thumbnail

Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition

Presenter
  • Yiping Lu
June 13, 2025
IMSI
Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition Thumbnail

Two Tales, One Resolution: Physics-Informed Inference Time Scaling and Precondition

Presenter
  • Yiping Lu
May 22, 2025
IMSI
Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers Thumbnail

Deep Discrete Encoders: Identifiable Deep Generative Models for Rich Data with Discrete Latent Layers

Presenter
  • Yuqi Gu
May 6, 2025
IMSI
Accelerated predictions of the sublimation enthalpy of organic materials with machine learning Thumbnail

Accelerated predictions of the sublimation enthalpy of organic materials with machine learning

Presenter
  • Yifan Liu
April 21, 2025
IMSI
Human activities as Stochastic Kronecker Graphs Thumbnail

Human activities as Stochastic Kronecker Graphs

Presenter
  • Sinisa Todorovic
August 8, 2013
IPAM
The density-to-pair-density map in density functional theory Thumbnail

The density-to-pair-density map in density functional theory

Presenter
  • Gero Friesecke
November 18, 2016
IPAM
Hybrid-Cooperative Learning for PDEs Thumbnail

Hybrid-Cooperative Learning for PDEs

Presenter
  • Enrique Zuazua
October 27, 2025
IMSI
Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA Thumbnail

Hsin-Yuan (Robert) Huang - Learning to predict arbitrary quantum processes - IPAM at UCLA

Presenter
  • Hsin-Yuan Huang
October 18, 2023
IPAM
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability Thumbnail

Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability

Presenter
  • Pedram Hassanzadeh
November 4, 2022
IMSI
Sampling Strategies for Training Machine Learning Emulators of Gravity Wave Thumbnail

Sampling Strategies for Training Machine Learning Emulators of Gravity Wave

Presenter
  • Minah Yang
November 2, 2022
IMSI