Videos

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Lance Dixon - AI for Theory Data - IPAM at UCLA Thumbnail

Lance Dixon - AI for Theory Data - IPAM at UCLA

Presenter
  • Lance Dixon
March 4, 2026
IPAM
Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA Thumbnail

Amira Abbas - On quantum backpropagation and information reuse - IPAM at UCLA

Presenter
  • Amira Abbas
October 20, 2023
IPAM

Qin Li - Stabilizing plasma instabilities cast as PDE-constrained optimization

April 15, 2026
IPAM
Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning Thumbnail

Jin Peng Liu - Provably Efficient Quantum Algorithms for Nonlinear Dynamics and Machine Learning

Presenter
  • Jin-Peng Liu
October 6, 2023
IPAM
Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Estimating and Controlling for Fairness via Sensitive Attribute Predictors"

Presenter
  • Jeremias Sulam
August 30, 2023
SLMath
Smoothed Analysis for Tensor Decompositions and Unsupervised Learning Thumbnail

Smoothed Analysis for Tensor Decompositions and Unsupervised Learning

Presenter
  • Aravindan Vijayaraghavan
May 6, 2021
IPAM
Efficient Parallel Surrogate Methods for Global Optimization of Computationally Expensive Multimodal Models Thumbnail

Efficient Parallel Surrogate Methods for Global Optimization of Computationally Expensive Multimodal Models

Presenter
  • Christine Shoemaker
October 31, 2017
IPAM
Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA Thumbnail

Kevin Kelly - Machine Learning Enhanced Compressive Hyperspectral Imaging - IPAM at UCLA

Presenter
  • Kevin Kelly
December 2, 2022
IPAM
Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry Thumbnail

Deep Learning of dynamical systems for mechanistic insight and prediction in psychiatry

Presenter
  • Daniel Durstewitz
February 18, 2020
IPAM
Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations Thumbnail

Hidden Physics Models: Machine Learning of Non-Linear Partial Differential Equations

Presenter
  • Maziar Raissi
October 29, 2019
IPAM

Lipschitz bounds for general convolutional neural networks

Presenter
  • Dongmian Zou
September 26, 2017
IMA
Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy Thumbnail

Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy

Presenter
  • Pilar Cossio
April 25, 2024
IMSI