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Shedding Light on How the Brain Learns: Smart Experimental Systems and Machine Learning in Neurogenetics
Presenter
- Hang Lu
July 28, 2025
ICERM
Communication-Avoiding Sparse Matrix Algorithms for Large Graph and Machine Learning Problems
Presenter
- Aydin Buluç
November 28, 2018
IPAM
Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA
Presenter
- Zecheng Zhang
July 16, 2025
IPAM
Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning
Presenter
- Leena Vankadara
October 18, 2024
IPAM
Physics Constrained Machine Learning for Scientific Computing
Presenter
- Danielle Robinson
March 23, 2024
ICERM
Model Interpretability for Building Confidence and Sparking Insight in Scientific Applications
Presenter
- Julia Ling
October 14, 2019
IPAM
Efficient Tensor Representation for Deep Learning with TensorLy and PyTorch
Presenter
- Jean Kossaifi
May 19, 2021
IPAM
Two Distributed Optimization Algorithms for Machine Learning
Presenter
- Yingyu Liang
February 25, 2015
IMA
Methodological Aspects of Predictive Data Analytics and VC-theory
Presenter
- Vladimir Cherkassky
February 2, 2016
IMA
