Videos

Start date cannot be after end date.
From clustering with graph cuts to isoperimetric inequalities: quantitative convergence rates of Cheeger cuts on data clouds Thumbnail

From clustering with graph cuts to isoperimetric inequalities: quantitative convergence rates of Cheeger cuts on data clouds

Presenter
  • Nicolas Garcia Trillos
April 24, 2020
IPAM
Learning Intended Costs: Extracting all the right information from all the right places Thumbnail

Learning Intended Costs: Extracting all the right information from all the right places

Presenter
  • Anca Dragan
February 25, 2020
IPAM
Some New Insights On Transfer Learning Thumbnail

Some New Insights On Transfer Learning

Presenter
  • Samory Kpotufe
October 30, 2019
IPAM
Optimization Landscape and Two-Layer Neural Networks Thumbnail

Optimization Landscape and Two-Layer Neural Networks

Presenter
  • Rong Ge
October 23, 2019
IAS
Machine learning for molecular simulations: priors and predictive constraints Thumbnail

Machine learning for molecular simulations: priors and predictive constraints

Presenter
  • Tristan Bereau
October 18, 2019
IPAM
Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin Thumbnail

Special Guest Lecture: Interpretable Machine Learning, Cynthia Rudin

August 28, 2019
SAMSI
Geometry-aware deep learning: A brief history of equivariant representations and recent results Thumbnail

Geometry-aware deep learning: A brief history of equivariant representations and recent results

Presenter
  • Kostas Daniilidis
May 24, 2019
IPAM
Isospectralization, or how to hear shape, style, and correspondence Thumbnail

Isospectralization, or how to hear shape, style, and correspondence

Presenter
  • Emanuele Rodola
April 16, 2019
IPAM
Sparsity-enforced regularizations for optimal learning of high-dimensional systems from random data Thumbnail

Sparsity-enforced regularizations for optimal learning of high-dimensional systems from random data

Presenter
  • Clayton Webster
October 17, 2018
IPAM
Scalability and Fault Tolerance for Exascale Simulations of Hot Fusion Plasmas Thumbnail

Scalability and Fault Tolerance for Exascale Simulations of Hot Fusion Plasmas

Presenter
  • Dirk Pflüger
October 17, 2018
IPAM
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty Thumbnail

Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty

Presenter
  • Paris Perdikaris
September 28, 2018
IPAM
Data-Driven Multifidelity Methods for Monte Carlo Estimation and Beyond Thumbnail

Data-Driven Multifidelity Methods for Monte Carlo Estimation and Beyond

Presenter
  • Benjamin Peherstorfer
September 24, 2018
IPAM