Videos

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A Complexity-Theoretic Perspective on Fairness Thumbnail

A Complexity-Theoretic Perspective on Fairness

Presenter
  • Michael Kim
May 10, 2021
IAS
Line-of-sight optimization for moving agents in complex urban domains Thumbnail

Line-of-sight optimization for moving agents in complex urban domains

Presenter
  • Richard Tsai
October 7, 2020
IPAM
Outlier-Robust Estimation via Sum-of-Squares Thumbnail

Outlier-Robust Estimation via Sum-of-Squares

Presenter
  • Pravesh Kothari
February 6, 2018
IAS
Differential privacy: A concise tutorial Thumbnail

Differential privacy: A concise tutorial

Presenter
  • Kobbi Nissim
January 10, 2018
IPAM

Transfer learning in deep operator networks

Presenter
  • Somdatta Goswami
June 7, 2023
ICERM
Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations Thumbnail

Combining Stochastic Parameterized Reduced Order Models with Machine Learning for Data Assimilation and Uncertainty Quantification with Partial Observations

Presenter
  • Nan Chen
October 31, 2022
IMSI
Learning surrogate models and data assimilation processes for advanced geophysical dynamics forecasting Thumbnail

Learning surrogate models and data assimilation processes for advanced geophysical dynamics forecasting

Presenter
  • Marc Bocquet
October 6, 2025
IMSI
Interpretable machine learning for analysis and prediction of weather and climate extremes Thumbnail

Interpretable machine learning for analysis and prediction of weather and climate extremes

Presenter
  • Alex Cannon
March 3, 2025
IMSI
Learning Collective Variables and Kernels from Observations Thumbnail

Learning Collective Variables and Kernels from Observations

Presenter
  • Ming Zhong
April 26, 2024
IMSI
Learning reaction coordinates and finding optimal model parameters from sampled trajectory ensembles Thumbnail

Learning reaction coordinates and finding optimal model parameters from sampled trajectory ensembles

Presenter
  • Peter Bolhuis
April 24, 2024
IMSI

Leveraging Multi-time Hamilton Jacobi PDEs for Certain Scientific Machine Learning Problems

Presenter
  • Paula Chen
June 9, 2023
ICERM
Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability Thumbnail

Integrating the spectral analysis of neural networks and nonlinear physics for explainability, generalizability, and stability

Presenter
  • Pedram Hassanzadeh
November 4, 2022
IMSI