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Using Subsystem MT2 for Complete Mass Determinations in Decay Chains with Missing Energy at Hadron Colliders, , , and . JHEP, (2009)New Machine Learning Techniques for Simulation-Based Inference: InferoStatic Nets, Kernel Score Estimation, and Kernel Likelihood Ratio Estimation., , , and . CoRR, (2022)Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes., , , , , , , , , and 12 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 1-17. PMLR, (2021)Is the Machine Smarter than the Theorist: Deriving Formulas for Particle Kinematics with Symbolic Regression., , , and . CoRR, (2022)Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles., , , , , and . CoRR, (2023)Searching for Novel Chemistry in Exoplanetary Atmospheres using Machine Learning for Anomaly Detection., , , and . CoRR, (2023)A Comparison between Invariant and Equivariant Classical and Quantum Graph Neural Networks., , , , , , , , , and 1 other author(s). Axioms, 13 (3): 160 (March 2024)Precise reconstruction of sparticle masses without ambiguities, , , and . JHEP, (2009)A general method for determining the masses of semi- invisibly decaying particles at hadron colliders, and . (2009)Reproducing Bayesian Posterior Distributions for Exoplanet Atmospheric Parameter Retrievals with a Machine Learning Surrogate Model., , , and . CoRR, (2023)