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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
Optimizing Deep Brain Stimulation for Suppression of Pathological Oscillations in Parkinson's Disease
Presenter
- Theoden Netoff
November 20, 2015
IMA
The Denario project: Deep knowledge AI agents for scientific discovery
Presenter
- Francisco Villaescusa-Navarro
May 9, 2026
ICERM
Communicating Mathematical and Technical Content to all Audiences Workshop
Presenter
- Sam Hansen
October 30, 2025
IMSI
Zecheng Zhang - Deep Operator Learning Approximation and Distributed Applications - IPAM at UCLA
Presenter
- Zecheng Zhang
July 16, 2025
IPAM
Neural posterior estimation for gravitational-wave inference Continued
Presenter
- Stephen Green
June 4, 2025
ICERM
Neural posterior estimation for gravitational-wave inference
Presenter
- Stephen Green
June 4, 2025
ICERM
Robert Batterman - Deep Learning, Correlations, and the Statistics of Natural Images - IPAM at UCLA
Presenter
- Robert Batterman
November 22, 2024
IPAM
Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA
Presenter
- Adityanarayanan Radhakrishnan
October 18, 2024
IPAM
Leena Vankadara - Scaling Insights from Infinite-Width Theory for Next Gen Architecture & Learning
Presenter
- Leena Vankadara
October 18, 2024
IPAM
Misha Belkin - Emergence and grokking in "simple" architectures - IPAM at UCLA
Presenter
- Misha Belkin
October 18, 2024
IPAM