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Machine Learning & HPC Enabled Prediction in Tokamaks
Presenter
- William Tang
September 13, 2025
ICERM
The Future of Statistics Education: A Computational Perspective
Presenter
- Mine Cetinkaya-Rundel
May 20, 2025
ICERM
Sean Tull - Towards Compositional Interpretability for XAI - IPAM at UCLA
Presenter
- Sean Tull
November 6, 2024
IPAM
Michael Levin - Non-neural intelligence: biological architecture problem-solving in diverse spaces
Presenter
- Michael Levin
November 6, 2024
IPAM
Paul Riechers - geometric representation of far future in deep neural networks trained on next-token
Presenter
- Paul Riechers
October 16, 2024
IPAM
Ida Momennejad - Evaluation & architecture of intelligence in humans, LLM, & generative AI for games
Presenter
- Ida Momennejad
September 25, 2024
IPAM
Swee Hong Chan - Complexity of log-concave poset inequalities - IPAM at UCLA
Presenter
- Swee Hong Chan
April 17, 2024
IPAM
Algorithms, Approximation, and Learning in Market and Mechanism Design: "New directions in how computer science can inform the design of economic mechanisms and systems: Automated mechanism design, necessarily exponentially long theories, AI mediators, and fast convergence to high welfare"
Presenter
- Tuomas Sandholm
November 9, 2023
SLMath
Kyle Cranmer - Connections and cross pollination from quarks to the cosmos - IPAM at UCLA
Presenter
- Kyle Cranmer
January 26, 2023
IPAM
Mahdi Soltanolkotabi - Machine Learning and Computational Imaging
Presenter
- Mahdi Soltanolkotabi
September 13, 2022
IPAM
Implicit and Explicit Regularization in Deep Neural Networks
Presenter
- Babak Hassibi
May 18, 2021
IPAM