Videos

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Fast Mixing MCMC without Gradients

Presenter
  • Robert Scheichl
March 5, 2026
ICERM

Memorization and Regularization in Generative Diffusion Models

Presenter
  • Ricardo Baptista
March 4, 2026
ICERM

Feature-to-feature mapping for complex physics

Presenter
  • Roger Ghanem
March 4, 2026
ICERM
Lance Dixon - AI for Theory Data - IPAM at UCLA Thumbnail

Lance Dixon - AI for Theory Data - IPAM at UCLA

Presenter
  • Lance Dixon
March 4, 2026
IPAM
Nathaniel Craig - Reasoning AIccelerators for High Energy Physics - IPAM at UCLA Thumbnail

Nathaniel Craig - Reasoning AIccelerators for High Energy Physics - IPAM at UCLA

Presenter
  • Nathaniel Craig
March 4, 2026
IPAM
Sergei Gukov - The role of AI in mathematical (re)search - IPAM at UCLA Thumbnail

Sergei Gukov - The role of AI in mathematical (re)search - IPAM at UCLA

Presenter
  • Sergei Gukov
March 4, 2026
IPAM

Sparsity Promoting Scale Mixture Priors Fit Large Imaging Datasets

Presenter
  • Alexander Strang
March 4, 2026
ICERM

Computationally efficient inference for sparsity-promoting hierarchical Bayesian models

Presenter
  • Jan Glaubitz
March 4, 2026
ICERM

Separable Nonlinear Bayesian Inverse Problems

Presenter
  • Malena Espanol
March 4, 2026
ICERM

Leveraging predictive inverse problems to characterize uncertainties in the presence of model misspecification

Presenter
  • Rebekah White
March 3, 2026
ICERM

Preconditioned and iterative flow matching

Presenter
  • Eldad Haber
March 3, 2026
ICERM
VC Dimensions and Regularity Thumbnail

VC Dimensions and Regularity

Presenter
  • Yuval Wigderson
March 3, 2026
IAS