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Computational Imaging: Reconciling Models and Learning
Presenter
- Ulugbek Kamilov
January 28, 2020
IPAM
Huan Lei - Energy-stable machine-learning model of non-Newtonian hydrodynamics w/ molecular fidelity
Presenter
- Huan Lei
October 8, 2025
IPAM
Verification and Validation for Trustworthy Scientific Machine Learning
Presenter
- Lorena A.
March 4, 2025
IMSI
Vojtěch Havlíček - Quantum Statistical Query Learning I of II - IPAM at UCLA
Presenter
- Vojtěch Havlíček
October 19, 2023
IPAM
Stochastic gradient descent for noise with ML-type scaling
Presenter
- Stephan Wojtowytsch
July 9, 2021
ICERM
Subgroup Discovery for Assessing the Domain of Applicability of Machine Learning Models
Presenter
- Chris Sutton
November 21, 2019
IPAM
High-throughput Data and New representations for Models and Machine Learning
Presenter
- Gus Hart
February 24, 2015
IPAM
Arya Mazumdar - Sample complexity of estimation in logistic regression - IPAM at UCLA
Presenter
- Arya Mazumdar
February 29, 2024
IPAM
Andrea Montanari - Solving overparametrized systems of nonlinear equations - IPAM at UCLA
Presenter
- Andrea Montanari
February 28, 2024
IPAM
Pasin Manurangasi - Complex Adversarially Robust Proper Learning of Halfspaces w/ Agnostic Noise
Presenter
- Pasin Manurangasi
February 27, 2024
IPAM
Randomization, Neutrality, and Fairness: When Personalization Harms Performance
Presenter
- Berk Ustun
October 23, 2023
SLMath
Gabor Csányi - Machine learning potentials: from polynomials to message passing networks
Presenter
- Gabor Csányi
April 17, 2023
IPAM