Videos

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Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA Thumbnail

Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA

Presenter
  • Zecheng Zhang
July 16, 2025
IPAM

Machine learning in gravitational-wave population inference

Presenter
  • Matthew Mould
June 5, 2025
ICERM
Detection, Estimation, and Reconstruction in Networks: Attributed Stochastic Block Models as Benchmark Datasets for Theoretical Analysis of Graph Neural Networks Thumbnail

Detection, Estimation, and Reconstruction in Networks: Attributed Stochastic Block Models as Benchmark Datasets for Theoretical Analysis of Graph Neural Networks

Presenter
  • Lenka Zdeborova
April 22, 2025
SLMath
Contracting and semicontracting dynamics on networks Thumbnail

Contracting and semicontracting dynamics on networks

Presenter
  • Francesco Bullo
March 21, 2025
IMSI
Emergence of Stable and Robust Rhythmic Locomotion Patterns in Insect Central Pattern Generators Thumbnail

Emergence of Stable and Robust Rhythmic Locomotion Patterns in Insect Central Pattern Generators

Presenter
  • Zahra Aminzare
March 20, 2025
IMSI
Local Spectral Conformal Inference for Operator Models Thumbnail

Local Spectral Conformal Inference for Operator Models

Presenter
  • Trevor Harris
March 3, 2025
IMSI
Martha Lewis - Compositional Approaches to Modelling Language and Concepts - IPAM at UCLA Thumbnail

Martha Lewis - Compositional Approaches to Modelling Language and Concepts - IPAM at UCLA

November 6, 2024
IPAM
Dmitry Krotov - Generative AI models through the lens of Dense Associative Memory - IPAM at UCLA Thumbnail

Dmitry Krotov - Generative AI models through the lens of Dense Associative Memory - IPAM at UCLA

Presenter
  • Dmitry Krotov
October 17, 2024
IPAM
Dan Roy - Size of Teachers as Measure of Data Complexity: PAC-Bayes Excess Risk Bounds & Scaling Law Thumbnail

Dan Roy - Size of Teachers as Measure of Data Complexity: PAC-Bayes Excess Risk Bounds & Scaling Law

Presenter
  • Dan Roy
October 16, 2024
IPAM
Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA Thumbnail

Nikos Tsilivis - The Price of Implicit Bias in Robust ML - IPAM at UCLA

Presenter
  • Nikos Tsilivis
October 14, 2024
IPAM
Graph learning models: theoretical understanding, limitations and enhancements Thumbnail

Graph learning models: theoretical understanding, limitations and enhancements

Presenter
  • Yusu Wang
April 25, 2024
IMSI

When big networks are not enough: physics, multifidelity and kernels

Presenter
  • Panos Stinis
March 24, 2024
ICERM