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AIMNet2 family of machine learning potentials: general-purpose and task-specific models for element-organic molecules and radicals, reactions and molecular crystals
Presenter
- Roman Zubatyuk
April 12, 2024
IMSI
Randomization, Neutrality, and Fairness: When Personalization Harms Performance
Presenter
- Berk Ustun
October 23, 2023
SLMath
Revealing the statistics of extreme events hidden in short weather forecast data
Presenter
- Justin Finkel
November 3, 2022
IMSI
Computational/Statistical Gaps for Learning Neural Networks
Presenter
- Adam Klivans
April 13, 2021
IMSI
Flexible machine learning approaches for computer-assisted surgery
Presenter
- Tom Vercauteren
January 30, 2020
IPAM
Properties of Atoms in Molecules via Machine Learning
Presenter
- Matthias Rupp
February 25, 2015
IPAM
Po-Lun Ma - Encoding microphysics in Earth system modeling with artificial intelligence
Presenter
- Po-Lun Ma
February 5, 2026
IPAM
Advances in Probabilistic Generative Modeling for Scientific Machine Learning
Presenter
- Fei Sha
June 11, 2025
IMSI
FAIR Universe: Benchmarks for Systematics-Aware Machine Learning in Particle Physics and Cosmology
Presenter
- Po-Wen Chang
May 20, 2025
IMSI
Randomization, Neutrality, and Fairness: "Fair Division of Indivisibles"
Presenter
- Ruta Mehta
October 25, 2023
SLMath
