Videos

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Approximation and learning with tree tensor networks Thumbnail

Approximation and learning with tree tensor networks

Presenter
  • Anthony Nouy
March 30, 2021
IPAM
Perception and Learning for Autonomous Driving (Part 2/2) Thumbnail

Perception and Learning for Autonomous Driving (Part 2/2)

Presenter
  • Jana Kosecka
September 24, 2020
IPAM
Perception and Learning for Autonomous Driving (Part 1/2) Thumbnail

Perception and Learning for Autonomous Driving (Part 1/2)

Presenter
  • Jana Kosecka
September 23, 2020
IPAM
Exploration and learning of energy and free energy landscapes Thumbnail

Exploration and learning of energy and free energy landscapes

Presenter
  • Mark Tuckerman
November 2, 2017
IPAM
Exploration and learning of free energy landscapes of molecular crystals and oligopeptides Thumbnail

Exploration and learning of free energy landscapes of molecular crystals and oligopeptides

Presenter
  • Mark Tuckerman
October 26, 2016
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
Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning Thumbnail

Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning

Presenter
  • Leena Vankadara
October 18, 2024
IPAM

Learning to Reconstruct - Statistical Learning Theory and Encrypted Database Attacks

Presenter
  • Paul Grubbs
June 13, 2019
ICERM
Combining computing and learning for (plasma) physics Thumbnail

Combining computing and learning for (plasma) physics

Presenter
  • Frank Jenko
October 17, 2018
IPAM
Shape Analysis and Learning by Geometry and Machine (Overview - Part 2) Thumbnail

Shape Analysis and Learning by Geometry and Machine (Overview - Part 2)

Presenter
  • Ron Kimmel
February 8, 2016
IPAM
Shape Analysis and Learning by Geometry and Machine (Overview - Part 1) Thumbnail

Shape Analysis and Learning by Geometry and Machine (Overview - Part 1)

Presenter
  • Hong-Kai Zhao
February 8, 2016
IPAM
Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI" Thumbnail

Introductory Workshop: Algorithms, Fairness, and Equity: "Epistemic Uncertainty, the AI Problem Understanding Gap and the Necessity of Structured Societal Context Knowledge for Safe, Robust AI"

Presenter
  • Donald Martin
August 30, 2023
SLMath