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Using machine learning to accommodate complexity in phylogenetics
Presenter
- Megan Smith
October 23, 2024
ICERM
Optimization, Sampling and Generative Modeling in Non-Euclidean Spaces
Presenter
- Molei Tao
May 15, 2024
IMSI
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
Machine Learning Interatomic Potentials to Predict Bond Dissociation Energies
Presenter
- Elena Gelzinyte
April 11, 2024
IMSI
Machine learning at the mesoscale: advances in analyzing and coarse-graining via data-driven approaches
Presenter
- Rose Cersonsky
April 11, 2024
IMSI
Machine-learning of long-range, non-bonded interactions
Presenter
- Michele Ceriotti
April 10, 2024
IMSI
A Framework for Generalization Analysis of Machine-Learned Interatomic Potentials: A Case Study on Crystalline Defects
Presenter
- Yangshuai Wang
April 9, 2024
IMSI
Machine Learning the Exchange And Correlation Functional In DFT
Presenter
- Marivi Fern\u00e1ndez-Serra
March 26, 2024
IMSI
Machine Learning and Reduced Order Modeling for Large-Scale Industrial Digital Twins
Presenter
- David Knezevic
March 23, 2024
ICERM
Randomization, Neutrality, and Fairness: When Personalization Harms Performance
Presenter
- Berk Ustun
October 23, 2023
SLMath