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Cynthia Rush - Is It Easier to Count Communities Than Find Them? - IPAM at UCLA
Presenter
- Cynthia Rush
February 28, 2024
IPAM
Daniel Liang - Learning Beyond Stabilizer States - IPAM at UCLA
Presenter
- Daniel Liang
October 18, 2023
IPAM
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
Mauro Maggioni - Learning Interaction Laws in Particle-Based Systems - IPAM at UCLA
Presenter
- Mauro Maggioni
October 6, 2025
IPAM
Tongyang Li - On Quantum Speedups for Nonconvex Optimization via Quantum Tunneling Walks
Presenter
- Tongyang Li
October 18, 2023
IPAM
Jens Eisert - Do quantum computers have application in machine learning & combinatorial optimization
Presenter
- Jens Eisert
October 17, 2023
IPAM
Ryan Sweke - Should we use parameterized quantum circuits for machine learning? - IPAM at UCLA
Presenter
- Ryan Sweke
October 17, 2023
IPAM
Yimo Han - Assisting 4D-STEM data processing by machine learning and Bayesian optimization
Presenter
- Yimo Han
October 28, 2022
IPAM
Shaowei Lin - Singular Learning, Relative Information and the Dual Numbers - IPAM at UCLA
Presenter
- Shaowei Lin
October 16, 2024
IPAM
Richard Hennig - Enhancing VASPsol Accuracy for Non-Aqueous Solvents via Active Learning
Presenter
- Richard Hennig
October 6, 2025
IPAM
Mayank Mehta - Dynamics of brain's deep network - IPAM at UCLA
Presenter
- Mayank Mehta
October 17, 2024
IPAM