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Mathias Oster - Solving High-Dimensional Optimal Control Problems w/ Empirical Tensor Train Approx.
Presenter
- Mathias Oster
February 5, 2024
IPAM
Generalizing Hamiltonian Monte Carlo with Neural Networks
Presenter
- Jascha Sohl-Dickstein
September 26, 2019
IPAM
Scalable deep learning: using parallel algorithms and HPC systems to train large models on big data set
Presenter
- Brian Van Essen
September 17, 2018
IPAM
Paul Cazeaux - Randomized Algorithms for Rounding and Rank Compression in the Tensor Train Format
Presenter
- Paul Cazeaux
November 7, 2023
IPAM
A new ordering scheme for QC-DMRG based on a symmetry of the higher-order singular values
Presenter
- Mi-Song Dupuy
April 20, 2021
IPAM
Non-parametric Sparse Additive Auto-regressive Network Models
Presenter
- Garvesh Raskutti
April 26, 2018
IMA