Videos

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Bryan Clark - Variational Wavefunctions, Machine Learning Architecture for Fermions & Gauge Theories Thumbnail

Bryan Clark - Variational Wavefunctions, Machine Learning Architecture for Fermions & Gauge Theories

Presenter
  • Bryan Clark
May 26, 2022
IPAM
Haomin Zhou - A supervised learning scheme for Hamilton-Jacobi equation via density coupling Thumbnail

Haomin Zhou - A supervised learning scheme for Hamilton-Jacobi equation via density coupling

Presenter
  • Haomin Zhou
July 15, 2025
IPAM
Matrix Function Networks for learning non local quantum effects. Thumbnail

Matrix Function Networks for learning non local quantum effects.

Presenter
  • Ilyes Batatia
April 8, 2024
IMSI

Transfer learning in deep operator networks

Presenter
  • Somdatta Goswami
June 7, 2023
ICERM
Deep learning algorithm for core-collapse supernova detection Thumbnail

Deep learning algorithm for core-collapse supernova detection

Presenter
  • Irene Di Palma
December 1, 2021
IPAM
Learning structured models of physics Thumbnail

Learning structured models of physics

Presenter
  • Peter Battaglia
October 16, 2019
IPAM
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty Thumbnail

Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty

Presenter
  • Paris Perdikaris
September 28, 2018
IPAM

Learning to Predict using Network of Spiking Neurons

Presenter
  • Biswadeep Chakraborty
June 8, 2023
ICERM
Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin Thumbnail

Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin

August 28, 2019
SAMSI
Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport Thumbnail

Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport

Presenter
  • Stanley Osher
July 14, 2025
IPAM
Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA Thumbnail

Timo Berthold - Machine Learning inside MIP solvers - IPAM at UCLA

Presenter
  • Timo Berthold
March 1, 2023
IPAM
David Bortz - Weak form SciML for Learning Models on Different Scales - IPAM at UCLA Thumbnail

David Bortz - Weak form SciML for Learning Models on Different Scales - IPAM at UCLA

Presenter
  • David Bortz
October 7, 2025
IPAM