BRICKS creates compositional neural Markov kernels via hybrid transformers and Riemannian Flow Matching on product manifolds to enable zero-shot simulation of radiation-matter interactions across arbitrary material distributions.
CaloChallenge 2022: a community challenge for fast calorimeter simulation
5 Pith papers cite this work, alongside 7 external citations. Polarity classification is still indexing.
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A review of initiatives to make LHC Monte Carlo event generations available as open data to minimize redundant simulations and resource use.
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BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation
BRICKS creates compositional neural Markov kernels via hybrid transformers and Riemannian Flow Matching on product manifolds to enable zero-shot simulation of radiation-matter interactions across arbitrary material distributions.