Start date cannot be after end date.
Machine learning for molecular simulations: priors and predictive constraints
Presenter
- Tristan Bereau
October 18, 2019
IPAM
Geometry-aware deep learning: A brief history of equivariant representations and recent results
Presenter
- Kostas Daniilidis
May 24, 2019
IPAM
Isospectralization, or how to hear shape, style, and correspondence
Presenter
- Emanuele Rodola
April 16, 2019
IPAM
Sparsity-enforced regularizations for optimal learning of high-dimensional systems from random data
Presenter
- Clayton Webster
October 17, 2018
IPAM
Scalability and Fault Tolerance for Exascale Simulations of Hot Fusion Plasmas
Presenter
- Dirk Pflüger
October 17, 2018
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
Data-Driven Multifidelity Methods for Monte Carlo Estimation and Beyond
Presenter
- Benjamin Peherstorfer
September 24, 2018
IPAM
Modal-Set Estimation using kNN graphs, and Applications to Clustering
Presenter
- Samory Kpotufe
May 24, 2018
MBI