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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

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* 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

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

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Diffeomorphic Counterfactuals with Generative Models


Jun 16, 2022
Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel

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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

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* 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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Deep learning for surrogate modelling of 2D mantle convection


Aug 23, 2021
Siddhant Agarwal, Nicola Tosi, Pan Kessel, Doris Breuer, Grégoire Montavon

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Towards Robust Explanations for Deep Neural Networks


Dec 18, 2020
Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel

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Fairwashing Explanations with Off-Manifold Detergent


Jul 20, 2020
Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel

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* 22 pages with 43 figures, to be published in ICML2020 

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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

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* 8 figures 

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