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20182025
most citedCaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds

36 citations · 40 across the 6 of their papers we have counts for

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stat.ML2021★ 2 cited

Rectangular Flows for Manifold Learning

Anthony L. Caterini, Gabriel Loaiza-Ganem, Geoff Pleiss +1

Normalizing flows are invertible neural networks with tractable change-of-volume terms, which allow optimization of their parameters to be efficiently performed via maximum likelih…

stat.ML2019

Relaxing Bijectivity Constraints with Continuously Indexed Normalising Flows

Rob Cornish, Anthony L. Caterini, George Deligiannidis +1

We show that normalising flows become pathological when used to model targets whose supports have complicated topologies. In this scenario, we prove that a flow must become arbitra…