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Carlos Bravo Prieto - Understanding quantum machine learning also requires rethinking generalization
Presenter
- Carlos Prieto
October 19, 2023
IPAM
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
Topology protects emergent dynamics and long timescales in biological networks
Presenter
- Evelyn Tang
October 16, 2023
ICERM
The supercooled Stefan problem with noise: blow-ups and systemic risk
Presenter
- Andreas Søjmark
June 27, 2023
IMSI
Using Trained Machine Learning Predictors in Gurobi
Presenter
- Tobias Achterberg
April 27, 2023
ICERM
Shenglin Huang - Data-Driven Model Discovery for Non-equilibrium Processes - IPAM at UCLA
Presenter
- Shenglin Huang
April 18, 2023
IPAM
Matej Balog - AlphaTensor: Discover faster matrix multiplication algorithms with RL - IPAM at UCLA
Presenter
- Matej Balog
February 27, 2023
IPAM
John Harrison - Formalization and Automated Reasoning: A Personal and Historical Perspective
Presenter
- John Harrison
February 13, 2023
IPAM
Kristin Persson - Data-Driven Design for Energy Materials - IPAM at UCLA
Presenter
- Kristin Persson
January 24, 2023
IPAM
Wavelet representation and Sobolev regularity of quasiconformal mappings on domains
Presenter
- Francesco Di Plinio
December 7, 2022
ICERM