Kessel, Pan

9 publications

ICML 2025 Equivariant Neural Tangent Kernels Philipp Misof, Pan Kessel, Jan E Gerken

NeurIPS 2025 Generative Property Enhancer: Implicit Guided Generation Through Conditional Density Estimation Pedro O. Pinheiro, Pan Kessel, Aya Abdelsalam Ismail, Sai Pooja Mahajan, Kyunghyun Cho, Saeed Saremi, Natasa Tagasovska

ICML 2024 Emergent Equivariance in Deep Ensembles Jan E Gerken, Pan Kessel

ICLR 2024 Fast and Unified Path Gradient Estimators for Normalizing Flows Lorenz Vaitl, Ludwig Winkler, Lorenz Richter, Pan Kessel

NeurIPS 2023 Physics-Informed Bayesian Optimization of Variational Quantum Circuits Kim Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kühn, Klaus-Robert Müller, Paolo Stornati, Pan Kessel, Shinichi Nakajima

ICML 2022 Path-Gradient Estimators for Continuous Normalizing Flows Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel

ICMLW 2021 Diffeomorphic Explanations with Normalizing Flows Ann-Kathrin Dombrowski, Jan E Gerken, Pan Kessel

ICML 2020 Fairwashing Explanations with Off-Manifold Detergent Christopher Anders, Plamen Pasliev, Ann-Kathrin Dombrowski, Klaus-Robert Müller, Pan Kessel

NeurIPS 2019 Explanations Can Be Manipulated and Geometry Is to Blame Ann-Kathrin Dombrowski, Maximillian Alber, Christopher Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel