Videos

Start date cannot be after end date.
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
A Statistically Provable Approach to Integrating LLMs into Topic Modeling Thumbnail

A Statistically Provable Approach to Integrating LLMs into Topic Modeling

Presenter
  • Tracy Ke
May 6, 2025
IMSI
Cody Jones - QEC below the surface code threshold I of II - IPAM at UCLA Thumbnail

Cody Jones - QEC below the surface code threshold I of II - IPAM at UCLA

Presenter
  • Cody Jones
February 4, 2025
IPAM
Cody Jones - QEC below the surface code threshold II of II - IPAM at UCLA Thumbnail

Cody Jones - QEC below the surface code threshold II of II - IPAM at UCLA

Presenter
  • Cody Jones
February 4, 2025
IPAM
Optics, Sensors, & AI: Synergic Computational Imaging Thumbnail

Optics, Sensors, & AI: Synergic Computational Imaging

Presenter
  • Ashok Veeraraghavan
August 5, 2024
IMSI
Benjamin Villalonga - Benchmarking NISQ and QEC experiments with tensor networks - IPAM at UCLA Thumbnail

Benjamin Villalonga - Benchmarking NISQ and QEC experiments with tensor networks - IPAM at UCLA

Presenter
  • Benjamin Villalonga
February 5, 2024
IPAM
Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA Thumbnail

Hsin Yuan Huang (Robert) - Learning theory in the quantum universe - IPAM at UCLA

Presenter
  • Hsin-Yuan Huang
September 15, 2023
IPAM
Efficiency, Resilience, and Artificial Intelligence Thumbnail

Efficiency, Resilience, and Artificial Intelligence

Presenter
  • Moshe Vardi
March 24, 2025
IAS
Algorithms, Approximation, and Learning in Market and Mechanism Design: "New directions in how computer science can inform the design of economic mechanisms and systems: Automated mechanism design, necessarily exponentially long theories, AI mediators, and fast convergence to high welfare" Thumbnail

Algorithms, Approximation, and Learning in Market and Mechanism Design: "New directions in how computer science can inform the design of economic mechanisms and systems: Automated mechanism design, necessarily exponentially long theories, AI mediators, and fast convergence to high welfare"

Presenter
  • Tuomas Sandholm
November 9, 2023
SLMath
Human Activity Computing from Inside-out and Outside-in Visual Data Thumbnail

Human Activity Computing from Inside-out and Outside-in Visual Data

Presenter
  • Hyun Soo Park
April 10, 2018
IMA