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02/27/2023
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories
We study the consequences of mode-collapse of normalizing flows in the c...
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07/17/2022
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows
We propose an algorithm to estimate the path-gradient of both the revers...
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06/17/2022
Path-Gradient Estimators for Continuous Normalizing Flows
Recent work has established a path-gradient estimator for simple variati...
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11/22/2021
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse
Estimating the free energy, as well as other thermodynamic observables, ...
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07/14/2020
On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models
In this work, we demonstrate that applying deep generative machine learn...
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10/29/2019
Asymptotically Unbiased Generative Neural Sampling
We propose a general framework for the estimation of observables with ge...
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10/23/2018
