Videos

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OSCAR - The Project

Presenter
  • Michael Joswig
February 16, 2021
ICERM
Machine Learning for Fluid Mechanics Thumbnail

Machine Learning for Fluid Mechanics

Presenter
  • Steve Brunton
January 12, 2021
IPAM
A multi-population traffic flow model on networks accounting for vehicle automation Thumbnail

A multi-population traffic flow model on networks accounting for vehicle automation

Presenter
  • Paola Goatin
November 20, 2020
IPAM
Towards Better Understanding of Underlying Mechanisms of Human-Automated Vehicle Interactions Thumbnail

Towards Better Understanding of Underlying Mechanisms of Human-Automated Vehicle Interactions

Presenter
  • Alireza Talebpour
November 16, 2020
IPAM
Abstractions for programming distributed robotic applications Thumbnail

Abstractions for programming distributed robotic applications

Presenter
  • Sayan Mitra
October 30, 2020
IPAM
Integrating Automation into Curbside Management: Case Studies, Challenges, and Opportunities Thumbnail

Integrating Automation into Curbside Management: Case Studies, Challenges, and Opportunities

Presenter
  • Lillian Ratliff
October 30, 2020
IPAM
Secure Learning in Adversarial Environments Thumbnail

Secure Learning in Adversarial Environments

Presenter
  • Bo Li
October 6, 2020
IPAM
Generalizable Adversarial Robustness to Unforeseen Attacks Thumbnail

Generalizable Adversarial Robustness to Unforeseen Attacks

Presenter
  • Soheil Feizi
June 23, 2020
IAS
Learning Over-parameterized Neural Networks: From Neural Tangent Kernel to Mean-field Analysis Thumbnail

Learning Over-parameterized Neural Networks: From Neural Tangent Kernel to Mean-field Analysis

Presenter
  • Quanquan Gu
April 23, 2020
IPAM
Accelerated Information Gradient Flow Thumbnail

Accelerated Information Gradient Flow

Presenter
  • Wuchen Li
April 23, 2020
IPAM
Rank optimality of the Burer-Monteiro factorization Thumbnail

Rank optimality of the Burer-Monteiro factorization

Presenter
  • Irene Waldspurger
April 22, 2020
IPAM
Projected Stein variational methods for high-dimensional Bayesian inversion constrained by large-scale PDEs Thumbnail

Projected Stein variational methods for high-dimensional Bayesian inversion constrained by large-scale PDEs

Presenter
  • Peng Chen
April 21, 2020
IPAM