Videos

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Nested Operator Inference for data-driven learning of physics-based reduced-order models Thumbnail

Nested Operator Inference for data-driven learning of physics-based reduced-order models

Presenter
  • Nicole Aretz
November 13, 2025
IMSI
Exploiting linear models for transferability and long-range interactions Thumbnail

Exploiting linear models for transferability and long-range interactions

Presenter
  • Julien Lam
April 11, 2024
IMSI
Integrating Autonomy into Transportation Systems Thumbnail

Integrating Autonomy into Transportation Systems

Presenter
  • Cathy Wu
February 27, 2019
IPAM
Understanding generative models for physical systems Thumbnail

Understanding generative models for physical systems

Presenter
  • Nisha Chandramoorthy
October 6, 2025
IMSI
Alex Gorodetsky - Generalized structural exploitation in multi-fidelity sampling and learning Thumbnail

Alex Gorodetsky - Generalized structural exploitation in multi-fidelity sampling and learning

Presenter
  • Alex Gorodetsky
March 25, 2026
IPAM
Leveraging machine learning techniques to support planning and emergency response management for storm surge risk Thumbnail

Leveraging machine learning techniques to support planning and emergency response management for storm surge risk

Presenter
  • Alex Taflanidis
March 3, 2025
IMSI
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity II

Presenter
  • Russell Impagliazzo
November 14, 2017
IAS
Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I Thumbnail

Learning models: connections between boosting, hard-core distributions, dense models, GAN, and regularity I

Presenter
  • Russell Impagliazzo
November 13, 2017
IAS

From Large Language Models to Reasoning Language Models - Three Eras in The Age of Computation

Presenter
  • Torsten Hoefler
September 13, 2025
ICERM
Addressing Complexity in Computational Catalyst Design with Surrogate Models Thumbnail

Addressing Complexity in Computational Catalyst Design with Surrogate Models

Presenter
  • Zachary Ulissi
October 31, 2017
IPAM
Computational Experiments in Coarse-graining Atomistic Simulations Thumbnail

Computational Experiments in Coarse-graining Atomistic Simulations

Presenter
  • Yannis Kevrekidis
January 15, 2008
IMA
Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA Thumbnail

Michele Ceriotti - Machine learning for atomic-scale modeling - potentials and beyond - IPAM at UCLA

Presenter
  • Michele Ceriotti
May 3, 2023
IPAM