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Machine Learning for Physics and the Physics of Learning 2019 Workshop II: Interpretable Learning in Physical Sciences ... The physical sciences are replete with high-fidelity ... Gilles Louppe from The University of Liege for the Data Learning working group on 'The frontier of Abstract: AI is quickly raising the ambitions of scientists; however, the capabilities that AI enables varies significantly across fields. New Deep Learning Techniques 2018 "Deep Learning in the Physical Sciences" MadMiner is a python based tool that implements state-of-the-art
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Simulation-based inference and generative modeling for dark matter.. ▸ Siddharth Mishra Sharma (MIT)
Data Learning - The frontier of Simulation-Based Inference
SBI - Simulation Based Inference - 1 - Intro
Kyle Cranmer: Emerging Patterns in AI for Science and Fireside Chat
Learn the Universe - Simulations Based Inference (August 24, 2021)
Kyle Cranmer: "Deep Learning in the Physical Sciences"
PyHEP 2021: MadMiner: a python based tool for simulation-based inference in HEP
Simulation-based Inference Part 1
Kyle Cranmer - Connections and cross pollination from quarks to the cosmos - IPAM at UCLA
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Last Updated: June 10, 2026
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