| Spectral reconstruction with deep neural networks L Kades, JM Pawlowski, A Rothkopf, M Scherzer, JM Urban, SJ Wetzel, ... Physical Review D 102 (9), 096001, 2020 | 56 | 2020 |
| Towards novel insights in lattice field theory with explainable machine learning S Blücher, L Kades, JM Pawlowski, N Strodthoff, JM Urban Physical Review D 101 (9), 094507, 2020 | 48 | 2020 |
| Publishing statistical models: Getting the most out of particle physics experiments K Cranmer, S Kraml, H Prosper, P Bechtle, FU Bernlochner, IM Bloch, ... SciPost Physics 12 (1), 037, 2022 | 25 | 2022 |
| Spiking neuromorphic chip learns entangled quantum states S Czischek, A Baumbach, S Billaudelle, B Cramer, L Kades, ... SciPost Physics 12 (1), 039, 2022 | 12 | 2022 |
| Monte Carlo sampling of complex actions in extended state spaces L Kades, M Gärttner, T Gasenzer, JM Pawlowski Physical Review E 105 (4), 045315, 2022 | 5 | 2022 |
| Discrete Langevin machine: Bridging the gap between thermodynamic and neuromorphic systems L Kades, JM Pawlowski Physical Review E 101 (6), 063304, 2020 | 5 | 2020 |
| Searching for Yang-Lee zeros in O() models F Attanasio, M Bauer, L Kades, JM Pawlowski arXiv preprint arXiv:2111.12645, 2021 | 4 | 2021 |
| Towards sampling complex actions (2021) L Kades, M Gärttner, T Gasenzer, JM Pawlowski arXiv preprint arXiv:2106.09367, 0 | 3 | |
| Deep Learning and Neuromorphic Computing in Quantum Chromodynamics and Beyond L Kades | | 2021 |
| Spiking Neuromorphic Chip Encodes Quantum Entanglement Correlations S Czischek, A Baumbach, S Billaudelle, B Cramer, L Kades, J Pawlowski, ... APS March Meeting Abstracts 2021, B21. 003, 2021 | | 2021 |
| The discrete Langevin machine L Kades, JM Pawlowski | | 2019 |
| Characteristics of a random walk on a self-inflating support L Kades, M Schrauth, M Schneider, H Hinrichsen arXiv preprint arXiv:1601.03864, 2016 | | 2016 |
Jan M. PawlowskiUniversität HeidelbergVerified email at thphys.uni-heidelberg.de
