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Machine Learning & HPC Enabled Prediction in Tokamaks
Presenter
- William Tang
September 13, 2025
ICERM
Architectural Nuances and Benchmark Gaps in Scientific ML: Two Vignettes
Presenter
- Andrej Risteski
June 11, 2025
IMSI
FAIR Universe: Benchmarks for Systematics-Aware Machine Learning in Particle Physics and Cosmology
Presenter
- Po-Wen Chang
May 20, 2025
IMSI
Verification and Validation for Trustworthy Scientific Machine Learning
Presenter
- Lorena A.
March 4, 2025
IMSI
Operator Learning via an Auto-Encoder-Based Nonlinear Model Reduction and its Error Analysis
Presenter
- Rongjie Lai
January 6, 2025
ICERM
Using machine learning to accommodate complexity in phylogenetics
Presenter
- Megan Smith
October 23, 2024
ICERM
Adityanarayanan Radhakrishnan - How do neural networks learn features from data? - IPAM at UCLA
Presenter
- Adityanarayanan Radhakrishnan
October 18, 2024
IPAM
Dmitry Krotov - Generative AI models through the lens of Dense Associative Memory - IPAM at UCLA
Presenter
- Dmitry Krotov
October 17, 2024
IPAM
Oliver Eberle - Interpretability for Deep Learning: Theory, Applications and Scientific Insights
Presenter
- Oliver Eberle
October 17, 2024
IPAM
Mauro Maggioni - On exploiting compositional structure: one bit of theory and one application
Presenter
- Mauro Maggioni
October 17, 2024
IPAM
Dan Roy - Size of Teachers as Measure of Data Complexity: PAC-Bayes Excess Risk Bounds & Scaling Law
Presenter
- Dan Roy
October 16, 2024
IPAM
Paul Riechers - geometric representation of far future in deep neural networks trained on next-token
Presenter
- Paul Riechers
October 16, 2024
IPAM