Videos

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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

Leonardo Zepeda-Núñez - Learning Turbulent and Chaotic Dynamics via Data-Driven Probabilistic Models

April 16, 2029
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
Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis Thumbnail

Mary Scott - Supervised and Unsupervised approaches for Electron Microscopy Data Analysis

Presenter
  • Mary Scott
December 1, 2022
IPAM
A phase-space perspective on scientific machine learning Thumbnail

A phase-space perspective on scientific machine learning

Presenter
  • Ivan Dokmanic
June 11, 2025
IMSI
Nonstandard minimax rates in nonparametric latent variable models and representation learning Thumbnail

Nonstandard minimax rates in nonparametric latent variable models and representation learning

Presenter
  • Bryon Aragam
December 11, 2023
IMSI
Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas) Thumbnail

Supervised Learning and Canonical Decomposition of Multivariate Functions (Joint work with Nikos Kargas)

Presenter
  • Nikos Sidiropoulos
May 5, 2021
IPAM
Variational approximation of dynamical systems using machine learning Thumbnail

Variational approximation of dynamical systems using machine learning

Presenter
  • Frank Noé
February 11, 2019
IPAM