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Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows


Jul 17, 2022
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel

* 29 pages, 8 figures 

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Path-Gradient Estimators for Continuous Normalizing Flows


Jun 17, 2022
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel

* 8 pages, 5 figures, 39th International Conference on Machine Learning 

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Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse


Nov 30, 2021
Kim A. Nicoli, Christopher Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati

* 10 pages, 2 figures, Proceedings of the 38th International Symposium on Lattice Field Theory, 26th-30th July 2021, Zoom/[email protected] Institute of Technology 

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On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models


Jul 14, 2020
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati

* 8 figures 

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Asymptotically Unbiased Generative Neural Sampling


Oct 29, 2019
Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel

* 5 figures 

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Analysis of Atomistic Representations Using Weighted Skip-Connections


Oct 23, 2018
Kim A. Nicoli, Pan Kessel, Michael Gastegger, Kristof T. Schütt


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