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Jarrod McClean - Dequantization and quantum advantage in learning from experiments
Presenter
- Jarrod McClean
January 25, 2022
IPAM
Towards a Theory of Representation Learning for Reinforcement Learning
Presenter
- Alekh Agarwal
August 2, 2021
ICERM
Computational Imaging: Reconciling Models and Learning
Presenter
- Ulugbek Kamilov
January 28, 2020
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
Incorporation of Geometry into Learning Algorithms and Medicine
Presenter
- Alexander Cloninger
December 5, 2016
IMA
Bayesian Gene-tree Reconstruction and Learning in Phylogenomics
Presenter
- Matthew Rasmussen
February 25, 2010
MBI
Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch
Presenter
- Jean Kossaifi
May 19, 2021
IPAM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM
Shedding Light on How the Brain Learns: Smart Experimental Systems and Machine Learning in Neurogenetics
Presenter
- Hang Lu
July 28, 2025
ICERM
Generative models and uncertainty: Small data, biased models, and learning physics
Presenter
- Nathan Urban
March 7, 2025
IMSI
Bayesian and Equivariant Force Fields for the Description of Metals in their Bulk, Surface, and Nano-Scale Forms
Presenter
- Cameron Owen
April 10, 2024
IMSI