Pan Kessel

29 papers A* 7Journal 22
YearRankTypeTitle / Venue / Authors
2025 J jnl
Conformation-Aware Structure Prediction of Antigen-Recognizing Immune Proteins.
CoRR
Frédéric A. Dreyer, Jan Ludwiczak, Karolis Martinkus, Brennan Abanades, Robert G. Alberstein, Pan Kessel, Pranav Rao, Jae Hyeon Lee, Richard Bonneau, Andrew M. Watkins, Franziska Seeger
2025 J jnl
Do we need equivariant models for molecule generation?
CoRR
Ewa M. Nowara, Joshua A. Rackers, Patricia Suriana, Pan Kessel, Max Shen, Andrew Martin Watkins, Michael Maser
2025 A* conf
Equivariant Neural Tangent Kernels.
ICML
Philipp Misof, Pan Kessel, Jan E. Gerken
2024 J jnl
Diffeomorphic Counterfactuals With Generative Models.
IEEE Trans. Pattern Anal. Mach. Intell.
Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel
2024 A* conf
Emergent Equivariance in Deep Ensembles.
ICML
Jan E. Gerken, Pan Kessel
2024 J jnl
Emergent Equivariance in Deep Ensembles.
CoRR
Jan E. Gerken, Pan Kessel
2024 J jnl
Equivariant Neural Tangent Kernels.
CoRR
Philipp Misof, Pan Kessel, Jan E. Gerken
2024 J jnl
Fast and Unified Path Gradient Estimators for Normalizing Flows.
CoRR
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel
2024 A* conf
Fast and unified path gradient estimators for normalizing flows.
ICLR
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel
2024 J jnl
Physics-Informed Bayesian Optimization of Variational Quantum Circuits.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
2023 J jnl
Batched Predictors Generalize within Distribution.
CoRR
Andreas Loukas, Pan Kessel
2023 J jnl
Detecting and Mitigating Mode-Collapse for Flow-based Sampling of Lattice Field Theories.
CoRR
Kim A. Nicoli, Christopher J. Anders, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima
2023 A* conf
Physics-Informed Bayesian Optimization of Variational Quantum Circuits.
NeurIPS
Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
2022 J jnl
Diffeomorphic Counterfactuals with Generative Models.
CoRR
Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel
2022 J jnl
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL Divergence for Normalizing Flows.
CoRR
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel
2022 J jnl
Gradients should stay on path: better estimators of the reverse- and forward KL divergence for normalizing flows.
Mach. Learn. Sci. Technol.
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel
2022 A* conf
Path-Gradient Estimators for Continuous Normalizing Flows.
ICML
Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel
2022 J jnl
Path-Gradient Estimators for Continuous Normalizing Flows.
CoRR
Lorenz Vaitl, Kim A. Nicoli, Shinichi Nakajima, Pan Kessel
2022 J jnl
Towards robust explanations for deep neural networks.
Pattern Recognit.
Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel
2021 J jnl
Deep learning for surrogate modelling of 2D mantle convection.
CoRR
Siddhant Agarwal, Nicola Tosi, Pan Kessel, Doris Breuer, Grégoire Montavon
2021 J jnl
Machine Learning of Thermodynamic Observables in the Presence of Mode Collapse.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati
2020 J jnl
Fairwashing Explanations with Off-Manifold Detergent.
CoRR
Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel
2020 A* conf
Fairwashing explanations with off-manifold detergent.
ICML
Christopher J. Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel
2020 J jnl
On Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models.
CoRR
Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, Paolo Stornati
2020 J jnl
Towards Robust Explanations for Deep Neural Networks.
CoRR
Ann-Kathrin Dombrowski, Christopher J. Anders, Klaus-Robert Müller, Pan Kessel
2019 J jnl
Asymptotically Unbiased Generative Neural Sampling.
CoRR
Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Pan Kessel
2019 J jnl
Comment on "Solving Statistical Mechanics Using VANs": Introducing saVANt - VANs Enhanced by Importance and MCMC Sampling.
CoRR
Kim Nicoli, Pan Kessel, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, Shinichi Nakajima
2019 A* conf
Explanations can be manipulated and geometry is to blame.
NeurIPS
Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel
2019 J jnl
Explanations can be manipulated and geometry is to blame.
CoRR
Ann-Kathrin Dombrowski, Maximilian Alber, Christopher J. Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel