27 citations · 103 across the 19 of their papers we have counts for
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hep-ex2026
RINO: Renormalization Group Distillation with No Labels
Zichun Hao, Raghav Kansal, Abhijith Gandrakota +6
Supervised machine learning in high-energy physics (HEP) requires training on labeled simulations of particle collisions, which are known to be unfaithful to the underlying physics…
cs.LG2026
Multimarginal flow matching with optimal transport potentials
Raghav Kansal, David Crair, Nghia Nguyen +2
Flow matching (FM) has emerged as a powerful framework for learning dynamic transport maps between two empirical distributions. However, less explored is the setting with intermedi…