Pan Kessel - RankMe

29 papers A* 7Journal 22

Year	Rank	Type	Title / 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