Publications associated to this Organization :

2023

• MadNIS - Neural multi-channel importance sampling
  by Theo Heimel, Ramon Winterhalder, Anja Butter, Joshua Isaacson, Claudius Krause, Fabio Maltoni, Olivier Mattelaer, Tilman Plehn,
  SciPost Phys. 15, 141 (2023)
• Logarithmic negativity in out-of-equilibrium open free-fermion chains: An exactly solvable case
  by Vincenzo Alba, Federico Carollo,
  SciPost Phys. 15, 124 (2023)
• Two invertible networks for the matrix element method
  by Anja Butter, Theo Heimel, Till Martini, Sascha Peitzsch, Tilman Plehn,
  SciPost Phys. 15, 094 (2023)
• Statistical patterns of theory uncertainties
  by Aishik Ghosh, Benjamin Nachman, Tilman Plehn, Lily Shire, Tim M. P. Tait, Daniel Whiteson,
  SciPost Phys. Core 6, 045 (2023)
• Generative networks for precision enthusiasts
  by Anja Butter, Theo Heimel, Sander Hummerich, Tobias Krebs, Tilman Plehn, Armand Rousselot, Sophia Vent,
  SciPost Phys. 14, 078 (2023)

2022

• Thermodynamics of quantum-jump trajectories of open quantum systems subject to stochastic resetting
  by Gabriele Perfetto, Federico Carollo, Igor Lesanovsky,
  SciPost Phys. 13, 079 (2022)
• Codebase release 0.1 for jVMC
  by Markus Schmitt, Moritz Reh,
  SciPost Phys. Codebases 2-r0.1 (2022)
• jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration
  by Markus Schmitt, Moritz Reh,
  SciPost Phys. Codebases 2 (2022)
• Role of Sb in the superconducting kagome metal CsV$_3$Sb$_5$ revealed by its anisotropic compression
  by Alexander A. Tsirlin, Pierre Fertey, Brenden R. Ortiz, Berina Klis, Valentino Merkl, Martin Dressel, Stephen D. Wilson, Ece Uykur,
  SciPost Phys. 12, 049 (2022)

2021

• Technical comment on the paper of Dessert et al. "The dark matter interpretation of the 3.5 keV line is inconsistent with blank-sky observations"
  by Alexey Boyarsky, Denys Malyshev, Oleg Ruchayskiy, Denys Savchenko,
  SciPost Astro. Core 1, 001 (2021)

2020

• Per-object systematics using deep-learned calibration
  by Gregor Kasieczka, Michel Luchmann, Florian Otterpohl, Tilman Plehn,
  SciPost Phys. 9, 089 (2020)
• CapsNets continuing the convolutional quest
  by Sascha Diefenbacher, Hermann Frost, Gregor Kasieczka, Tilman Plehn, Jennifer M. Thompson,
  SciPost Phys. 8, 023 (2020)
• Deep-learning jets with uncertainties and more
  by Sven Bollweg, Manuel Haussmann, Gregor Kasieczka, Michel Luchmann, Tilman Plehn, Jennifer Thompson,
  SciPost Phys. 8, 006 (2020)

2019

• Quark-gluon tagging: Machine learning vs detector
  by Gregor Kasieczka, Nicholas Kiefer, Tilman Plehn, Jennifer M. Thompson,
  SciPost Phys. 6, 069 (2019)
• The Gauge-Higgs legacy of the LHC run II
  by Anke Biekoetter, Tyler Corbett, Tilman Plehn,
  SciPost Phys. 6, 064 (2019)
• Decoherence and relaxation of topological states in extended quantum Ising models
  by Hannes Weisbrich, Wolfgang Belzig, Gianluca Rastelli,
  SciPost Phys. 6, 037 (2019)
• The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems
  by Pietro Silvi, Ferdinand Tschirsich, Matthias Gerster, Johannes Jünemann, Daniel Jaschke, Matteo Rizzi, Simone Montangero,
  SciPost Phys. Lect. Notes 8 (2019)
• Phase diagram and conformal string excitations of square ice using gauge invariant matrix product states
  by Ferdinand Tschirsich, Simone Montangero, Marcello Dalmonte,
  SciPost Phys. 6, 028 (2019)
• A classical density functional from machine learning and a convolutional neural network
  by Shang-Chun Lin, Martin Oettel,
  SciPost Phys. 6, 025 (2019)
• The Global Higgs Picture at 27 TeV
  by Anke Biekoetter, Dorival Gonçalves, Tilman Plehn, Michihisa Takeuchi, Dirk Zerwas,
  SciPost Phys. 6, 024 (2019)

2018

• Mott-insulator-aided detection of ultra-narrow Feshbach resonances
  by Manfred J. Mark, Florian Meinert, Katharina Lauber, Hanns-Christoph Nägerl,
  SciPost Phys. 5, 055 (2018)

2017

2016