Pan Kessel - Machine Learning Scientist, Prescient Design

Pan Kessel

Machine Learning Scientist, Prescient Design

I obtained my PhD in String Theory from the Max Planck Institute for Gravitational Physics. I then switched to Machine Learning and became a member of the Machine Learning Group at TU Berlin.

Featured Publication

Asymptotically unbiased estimation of physical observables with neural samplers

Phys. Rev. E 101, 023304

Kim A. Nicoli, Shinichi Nakajima, Nils Strodthoff, Wojciech Samek, Klaus-Robert Müller, and Pan Kessel

Estimation of Thermodynamic Observables in Lattice Field Theories with Deep Generative Models

Phys. Rev. Lett. 126, 032001

Kim A. Nicoli, Christopher J. Anders, Lena Funcke, Tobias Hartung, Karl Jansen, Pan Kessel, Shinichi Nakajima, and Paolo Stornati

Explanations can be manipulated and geometry is to blame

Ann-Kathrin Dombrowski, Maximillian Alber, Christopher Anders, Marcel Ackermann, Klaus-Robert Müller, Pan Kessel

Path-Gradient Estimators for Continuous Normalizing Flows

PMLR 162:21945-21959

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