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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
Elchanan Mossel - Some mathematical theorems on agreement and learning in networks
Presenter
- Elchanan Mossel
February 16, 2022
IPAM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications
Presenter
- Julia Ling
October 14, 2019
IPAM
Non-isometric shape matching via geometric modeling and learning
Presenter
- Rongjie Lai
April 17, 2019
IPAM
