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Zoe Holmes - Exponential Concentration in Quantum Generative Modeling and Quantum Kernel Methods
Presenter
- Zoe Holmes
October 17, 2023
IPAM
Yihui Quek - Signal and noise: learning with random quantum circuits and other agents of chaos
Presenter
- Yihui Quek
October 16, 2023
IPAM
Using machine learning to map the structure and predict the properties of materials and molecules
Presenter
- Michele Ceriotti
September 27, 2016
IPAM
Marika Maria Kieferova - Generating Approx. Ground State of Molecules Using Quantum Machine Learning
Presenter
- Marika Kieferova
October 18, 2023
IPAM
John Hooker - Equity through Social Welfare Optimization - IPAM at UCLA
Presenter
- John Hooker
January 22, 2024
IPAM
Juan Carrasquilla - Training Binary Neural Networks in Quantum Superposition - IPAM at UCLA
Presenter
- Juan Carrasquilla
October 16, 2023
IPAM
Nikhil Garg - Efficiency & equity in government operations: service allocation & congestion pricing
Presenter
- Nikhil Garg
January 25, 2024
IPAM
Toward predictive digital twins: From physics-based modeling to scientific machine learning
Presenter
- Karen Willcox
October 8, 2020
IMSI
Machine learning with neural networks: the importance of data structure
Presenter
- Marc Mezard
November 21, 2019
IPAM
Paul Hand - Signal Recovery with Generative Priors - IPAM at UCLA
Presenter
- Paul Hand
November 29, 2022
IPAM
Siting Liu - Score-Based Generative Models through the Lens of Wasserstein Proximal Operators
Presenter
- Siting Liu
July 15, 2025
IPAM