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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
Presenter
- Milind Tambe
July 23, 2015
IPAM
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
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
Presenter
- Nan Chen
October 31, 2022
IMSI
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
Wasserstein Information Geometry for Learning from Data (Part 2/2)
Presenter
- Guido Montufar
March 14, 2019
IPAM
Wasserstein Information Geometry for Learning from Data (Part 1/2)
Presenter
- Guido Montufar
March 14, 2019
IPAM
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty
Presenter
- Paris Perdikaris
September 28, 2018
IPAM
Scalable algorithms for optimal experimental design for large-scale Bayesian inverse problems governed by complex models
Presenter
- Omar Ghattas
October 18, 2018
IPAM