Videos

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Quantum-Chemical Predictions from Coarse-Grained Molecular Representations Thumbnail

Quantum-Chemical Predictions from Coarse-Grained Molecular Representations

Presenter
  • Nick Jackson
April 23, 2024
IMSI
Toward accurate, efficient, and reliable interatomic potentials Thumbnail

Toward accurate, efficient, and reliable interatomic potentials

Presenter
  • Alexander Shapeev
November 16, 2016
IPAM
The Spread of Misinformation in Social Media Thumbnail

The Spread of Misinformation in Social Media

Presenter
  • Filippo Menczer
May 13, 2016
IPAM
Max Kleiman-Weiner - Multi-Agent Common Sense Thumbnail

Max Kleiman-Weiner - Multi-Agent Common Sense

Presenter
  • Max Kleiman-Weiner
February 16, 2022
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 2/2) Thumbnail

Deep Neural Networks Motivated By Differential Equations (Part 2/2)

Presenter
  • Lars Ruthotto
September 10, 2019
IPAM
Deep Neural Networks Motivated By Differential Equations (Part 1/2) Thumbnail

Deep Neural Networks Motivated By Differential Equations (Part 1/2)

Presenter
  • Lars Ruthotto
September 9, 2019
IPAM
Towards a Science of Security Games: Key Algorithmic Principles, Deployed Applications and Research Challenges Thumbnail

Towards a Science of Security Games: Key Algorithmic Principles, Deployed Applications and Research Challenges

Presenter
  • Milind Tambe
July 23, 2015
IPAM
Deep Learning for Combinatorial Optimization: count your flops and make your flops count! Thumbnail

Deep Learning for Combinatorial Optimization: count your flops and make your flops count!

Presenter
  • Wouter Kool
February 24, 2021
IPAM
Using autoencoders as generative models to create forecast ensembles for data assimilation Thumbnail

Using autoencoders as generative models to create forecast ensembles for data assimilation

Presenter
  • Ian Grooms
October 31, 2022
IMSI
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
Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch Thumbnail

Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch

Presenter
  • Jean Kossaifi
May 19, 2021
IPAM

FedCBO: Reaching Group Consensus in Clustered Federated Learning and Robustness to Backdoor Adversarial Attacks.

Presenter
  • Nicolas Garcia Trillos
May 10, 2024
ICERM