Videos

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Designing protein models with machine learning and experimental data Thumbnail

Designing protein models with machine learning and experimental data

Presenter
  • Klara Bonneau
April 26, 2024
IMSI
Parametrizing coarse-grained molecular systems from ab-initio computations: some elements Thumbnail

Parametrizing coarse-grained molecular systems from ab-initio computations: some elements

Presenter
  • Gabriel Stoltz
October 24, 2016
IPAM
Generating Representative Point Samples from Probability Distributions Thumbnail

Generating Representative Point Samples from Probability Distributions

Presenter
  • Nathan Kirk
March 31, 2025
IMSI
Large Scale Information Extraction from the Web Thumbnail

Large Scale Information Extraction from the Web

Presenter
  • Sathiya Keerthi
February 11, 2011
IMA

Quantitative Propagation of Chaos for 2D Viscous Vortex Model on the Whole Space

Presenter
  • Zhenfu Wang
May 6, 2024
ICERM

Measure-Theoretic Approaches for Stochastic Inverse Problems

Presenter
  • Yunan Yang
May 9, 2024
ICERM

Optimal Control for Mean Field Games and Transition Paths

Presenter
  • Jian-Guo Liu
May 6, 2024
ICERM

Interacting Particle Systems for Optimization: from Particle Swarm Optimization to Consensus-based Optimization

Presenter
  • Hui Huang
May 10, 2024
ICERM
Cengiz Pehlevan - 2 stories in mechanistic interpretation of natural & artificial neural computation Thumbnail

Cengiz Pehlevan - 2 stories in mechanistic interpretation of natural & artificial neural computation

Presenter
  • Cengiz Pehlevan
October 15, 2024
IPAM

Dynamics of Strategic Agents and Algorithms as PDEs

Presenter
  • Franca Hoffmann
May 8, 2024
ICERM

Stabilizing particles across scales

Presenter
  • Dante Kalise
May 8, 2024
ICERM

Computationally efficient uncertainty quantification for sparse Bayesian learning

Presenter
  • Jan Glaubitz
May 8, 2025
ICERM