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2020 – today
- 2024
[j3]Ann-Kathrin Dombrowski
, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel:
Diffeomorphic Counterfactuals With Generative Models. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3257-3274 (2024)- [c6]Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel:
Fast and unified path gradient estimators for normalizing flows. ICLR 2024 - [c5]Jan E. Gerken, Pan Kessel:
Emergent Equivariance in Deep Ensembles. ICML 2024 - [i17]Jan E. Gerken, Pan Kessel:
Emergent Equivariance in Deep Ensembles. CoRR abs/2403.03103 (2024) - [i16]Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel:
Fast and Unified Path Gradient Estimators for Normalizing Flows. CoRR abs/2403.15881 (2024) - [i15]Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima:
Physics-Informed Bayesian Optimization of Variational Quantum Circuits. CoRR abs/2406.06150 (2024) - [i14]Philipp Misof, Pan Kessel, Jan E. Gerken:
Equivariant Neural Tangent Kernels. CoRR abs/2406.06504 (2024) - 2023
- [c4]Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima:
Physics-Informed Bayesian Optimization of Variational Quantum Circuits. NeurIPS 2023 - [i13]Kim A. Nicoli, Christopher J. Anders, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima:
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories. CoRR abs/2302.14082 (2023) - [i12]Andreas Loukas, Pan Kessel:
Batched Predictors Generalize within Distribution. CoRR abs/2307.09379 (2023) - 2022
- [j2]Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel:
Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows. Mach. Learn. Sci. Technol. 3(4): 45006 (2022) - [j1]Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel:
Towards robust explanations for deep neural networks. Pattern Recognit. 121: 108194 (2022) - [c3]Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel:
Path-Gradient Estimators for Continuous Normalizing Flows. ICML 2022: 21945-21959 - [i11]Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel:
Diffeomorphic Counterfactuals with Generative Models. CoRR abs/2206.05075 (2022) - [i10]Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel:
Path-Gradient Estimators for Continuous Normalizing Flows. CoRR abs/2206.09016 (2022) - [i9]Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel:
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows. CoRR abs/2207.08219 (2022) - 2021
- [i8]Siddhant Agarwal, Nicola Tosi, Pan Kessel, Doris Breuer, Grégoire Montavon:
Deep learning for surrogate modelling of 2D mantle convection. CoRR abs/2108.10105 (2021) - [i7]Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati:
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse. CoRR abs/2111.11303 (2021) - 2020
- [c2]Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel:
Fairwashing explanations with off-manifold detergent. ICML 2020: 314-323 - [i6]Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati:
On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models. CoRR abs/2007.07115 (2020) - [i5]Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel:
Fairwashing Explanations with Off-Manifold Detergent. CoRR abs/2007.09969 (2020) - [i4]Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel:
Towards Robust Explanations for Deep Neural Networks. CoRR abs/2012.10425 (2020)
2010 – 2019
- 2019
- [c1]Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel:
Explanations can be manipulated and geometry is to blame. NeurIPS 2019: 13567-13578 - [i3]Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima:
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling. CoRR abs/1903.11048 (2019) - [i2]Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel:
Explanations can be manipulated and geometry is to blame. CoRR abs/1906.07983 (2019) - [i1]Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel:
Asymptotically Unbiased Generative Neural Sampling. CoRR abs/1910.13496 (2019)
Coauthor Index
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