Videos

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Counting Cycles with AI Thumbnail

Counting Cycles with AI

Presenter
  • Jiashun Jin
May 5, 2025
IMSI
Uncertainty Analysis of Materials AI Models using the JARVIS-Leaderboard Thumbnail

Uncertainty Analysis of Materials AI Models using the JARVIS-Leaderboard

Presenter
  • Kamal Choudhary
April 25, 2025
IMSI
Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice" Thumbnail

Randomization, Neutrality, and Fairness: "Fairness in Algorithmic Decisions via Social Choice"

Presenter
  • Nisarg Shah
October 24, 2023
SLMath

A three-pronged approach to using machine learning in knot theory

Presenter
  • Mark Hughes
May 24, 2023
ICERM
Decision Making in the AI World Thumbnail

Decision Making in the AI World

Presenter
  • Dimitri Kusnezov
May 20, 2021
IMSI
Automatic Differentiation, PyTorch and Graph Neural Networks Thumbnail

Automatic Differentiation, PyTorch and Graph Neural Networks

Presenter
  • Soumith Chintala
May 20, 2019
IPAM
The Atoms of Neural Computation Thumbnail

The Atoms of Neural Computation

Presenter
  • Gary Marcus
October 5, 2015
SLMath
Payel Das - Design and Evaluation of Foundation Models and Generative AI in Molecular Space Thumbnail

Payel Das - Design and Evaluation of Foundation Models and Generative AI in Molecular Space

Presenter
  • Payel Das
January 23, 2023
IPAM

Timnit Gebru - Institutional incentive structures and problematic paradigms in AI research

Presenter
  • Timnit Gebru
July 18, 2022
IPAM
Energy-Based Self-Supervised Learning Thumbnail

Energy-Based Self-Supervised Learning

Presenter
  • Yann LeCun
November 19, 2019
IPAM
Natasha Jaques - Social Reinforcement Learning Thumbnail

Natasha Jaques - Social Reinforcement Learning

Presenter
  • Natasha Jaques
February 19, 2022
IPAM
How far can Bayesian theories of vision take us Thumbnail

How far can Bayesian theories of vision take us

Presenter
  • Daniel Kersten
October 6, 2015
SLMath