Particle/Astro-Machine Learning Seminar

Conditional Invertible Neural Networks for HEP

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End-to-End-Optimised Summary Statistics for High Energy Physics 

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Bias and Priors in Machine Learning Calibrations for High Energy Physics

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Learning Optimal Test Statistics in the Presence of Nuisance Parameters

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Score-based Generative Models for Calorimeter Shower Simulation

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 Discovering Symbolic Models from Deep Learning with Inductive Biases

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Dancing with Myself: Interdisciplinary ML Methods for Choreography

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Solving Combinatorial Problems at Particle Colliders Using Machine Learning

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