The Discrete Langevin Machine: Bridging the Gap Between Thermodynamic and Neuromorphic Systems. - Lukas Kades; Jan M. Pawlowski (CoRR, 2019)

Spectral Reconstruction with Deep Neural Networks. - Lukas Kades; Jan M. Pawlowski; Alexander Rothkopf; Manuel Scherzer; Julian M. Urban; Sebastian Johann Wetzel; Nicolas Wink; Felix Ziegler (CoRR, 2019)

Towards Novel Insights in Lattice Field Theory with Explainable Machine Learning. - Stefan Bluecher; Lukas Kades; Jan M. Pawlowski; Nils Strodthoff; Julian M. Urban (CoRR, 2020)

Spiking neuromorphic chip learns entangled quantum states. - Stefanie Czischek; Andreas Baumbach; Sebastian Billaudelle; Benjamin Cramer; Lukas Kades; Jan M. Pawlowski; Markus K. Oberthaler; Johannes Schemmel; Mihai A. Petrovici; Thomas Gasenzer; Martin Gärttner (CoRR, 2020)

Deep Learning and Neuromorphic Computing in Quantum Chromodynamics and Beyond - Lukas Kades (2021)