Dr. Pan Kessel
Dr. Pan Kessel
Postdoctoral Researcher
Pan Kessel is a member of the machine learning group at Technische Universität Berlin. He received his PhD in String Theory at the Max Planck Institute for Gravitational Physics. His main research interests currently are theoretically grounded explainable AI, generative models and their application to quantum physics, and the theory of learning.
- using theoretical insights to solve practical problems in Machine Learning
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
Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel
Diffeomorphic Counterfactuals with Generative Models
Kim Andrea Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Stefan Kuhn, Klaus-Robert Muller, Paolo Stornati, Pan Kessel, Shinichi Nakajima
Physics-Informed Bayesian Optimization of Variational Quantum Circuits
Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel
Gradients should stay on Path: Better Estimators of the Reverse- and Forward KL divergence for Normalizing Flows
Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel