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Stefan Chmiela - Accurate global machine learning force fields for molecules with hundreds of atoms
Presenter
- Stefan Chmiela
January 25, 2023
IPAM
Steve Brunton - Machine Learning for Scientific Discovery, with Examples in Fluid Mechanics
Presenter
- Steve Brunton
January 24, 2023
IPAM
Marivi Fernandez Serra - Machine learning to improve the exchange and correlation functional in DFT
Presenter
- Marivi Fernandez-Serra
May 26, 2022
IPAM
Mathematical foundations for human-level intelligence (Part 1): Cooperative communication as belief transport
Presenter
- Patrick Shafto
November 22, 2021
IAS
New Problems and Perspectives on Sampling, Memory, and Learning
Presenter
- Gregory Valiant
April 13, 2021
IMSI
How to learn from a single network: Relational learning for social network domains
Presenter
- Jennifer Neville
March 28, 2012
IMA
AI-Powered Gravitational-Wave Detection: Bridging Traditional Pipelines and Neural Networks
Presenter
- Surabhi Sachdev
June 2, 2025
ICERM
Designing protein models with machine learning and experimental data
Presenter
- Klara Bonneau
April 26, 2024
IMSI
Exact Gradient Computation for Spiking Neural Networks via Forward Propagation
Presenter
- Amin Karbasi
June 8, 2023
ICERM
Active learning and experimental design - who should we test?
Presenter
- Eldad Haber
April 21, 2020
IPAM
Communication Efficient Algorithms for Distributed Machine Learning
Presenter
- Nina Balcan
May 16, 2016
IMA
Wei Zhu - Structure-preserving machine learning and data-driven structure discovery - IPAM at UCLA
Presenter
- Wei Zhu
July 18, 2025
IPAM