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Dr. Pan Kessel


Technische Universität Berlin
Machine Learning / Intelligent Data Analysis (IDA)

Marchstraße 23, 10587 Berlin

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

December 08, 2023

Ann-Kathrin Dombrowski, Jan E. Gerken, Klaus-Robert Müller, Pan Kessel

Diffeomorphic Counterfactuals with Generative Models

December 06, 2023

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

September 21, 2023

Lorenz Vaitl, Kim Andrea Nicoli, Shinichi Nakajima, Pan Kessel

Path-Gradient Estimators for Continuous Normalizing Flows

June 17, 2022