429 citations · 581 across the 9 of their papers we have counts for
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hep-lat2021
Machine Learning Trivializing Maps: A First Step Towards Understanding How Flow-Based Samplers Scale Up
Luigi Del Debbio, Joe Marsh Rossney, Michael Wilson
A trivializing map is a field transformation whose Jacobian determinant exactly cancels the interaction terms in the action, providing a representation of the theory in terms of a…
hep-lat2021★ 55 cited
Efficient Modelling of Trivializing Maps for Lattice Theory Using Normalizing Flows: A First Look at Scalability
Luigi Del Debbio, Joe Marsh Rossney, Michael Wilson
General-purpose Markov Chain Monte Carlo sampling algorithms suffer from a dramatic reduction in efficiency as the system being studied is driven towards a critical point. Recently…