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hep-lat2022
Deformations of Boltzmann Distributions
Bálint Máté, François Fleuret
Consider a one-parameter family of Boltzmann distributions . This work studies the problem of sampling from by first sampling from $p_…
cs.LG2022★ 1 cited
Flowification: Everything is a Normalizing Flow
Bálint Máté, Samuel Klein, Tobias Golling +1
The two key characteristics of a normalizing flow is that it is invertible (in particular, dimension preserving) and that it monitors the amount by which it changes the likelihood…
physics.data-an2022★ 1 cited
SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics
Atul Kumar Sinha, Daniele Paliotta, Bálint Máté +4
Deep learning methods have gained popularity in high energy physics for fast modeling of particle showers in detectors. Detailed simulation frameworks such as the gold standard Gea…