Videos

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Tai-Danae Bradley - An Enriched Category Theory of Language - IPAM at UCLA Thumbnail

Tai-Danae Bradley - An Enriched Category Theory of Language - IPAM at UCLA

Presenter
  • Tai-Danae Bradley
November 5, 2024
IPAM
David Spivak - Plausible Fiction: Accounting for Actualizing Potential - IPAM at UCLA Thumbnail

David Spivak - Plausible Fiction: Accounting for Actualizing Potential - IPAM at UCLA

Presenter
  • David Spivak
November 5, 2024
IPAM
Tom Griffiths - Understanding human intelligence through human limitations - IPAM at UCLA Thumbnail

Tom Griffiths - Understanding human intelligence through human limitations - IPAM at UCLA

Presenter
  • Tom Griffiths
November 5, 2024
IPAM
Sanjoy Dasgupta - Neural machines: From fruit flies to embedded devices - IPAM at UCLA Thumbnail

Sanjoy Dasgupta - Neural machines: From fruit flies to embedded devices - IPAM at UCLA

Presenter
  • Sanjoy Dasgupta
November 4, 2024
IPAM
Private AI: Machine Learning on Encrypted Data Thumbnail

Private AI: Machine Learning on Encrypted Data

Presenter
  • Kristin Lauter
October 7, 2020
IMSI

Machine Learning & HPC Enabled Prediction in Tokamaks

Presenter
  • William Tang
September 13, 2025
ICERM

Guannan Zhang - Generative diffusion models for learning stochastic flow maps in particle-based kinetic simulation

April 17, 2029
IPAM
Roger Melko - Language Models for Quantum Simulation - IPAM at UCLA Thumbnail

Roger Melko - Language Models for Quantum Simulation - IPAM at UCLA

Presenter
  • Roger Melko
October 20, 2023
IPAM

Learning to Predict using Network of Spiking Neurons

Presenter
  • Biswadeep Chakraborty
June 8, 2023
ICERM

A Probabilistic Future for Neuromorphic Computing

Presenter
  • Brad Aimone
June 8, 2023
ICERM
Maxime Lucas - Synchronisation of oscillators with group interactions Thumbnail

Maxime Lucas - Synchronisation of oscillators with group interactions

Presenter
  • Maxime Lucas
August 31, 2022
IPAM
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models Thumbnail

Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models

Presenter
  • Chris Sutton
November 21, 2019
IPAM