Funder Baden-Württemberg Stiftung

All Publications related to Baden-Württemberg Stiftung

• Precision-machine learning for the matrix element method
  by Theo Heimel, Nathan Huetsch, Ramon Winterhalder, Tilman Plehn, Anja Butter,
  SciPost Phys. 17, 129 (2024)
• Kicking it off(-shell) with direct diffusion
  by Anja Butter, Tomáš Ježo, Michael Klasen, Mathias Kuschick, Sofia Palacios Schweitzer, Tilman Plehn,
  SciPost Phys. Core 7, 064 (2024)
• CaloFlow for CaloChallenge dataset 1
  by Claudius Krause, Ian Pang, David Shih,
  SciPost Phys. 16, 126 (2024)
• Air showers and hadronic interactions with CORSIKA 8
  by Maximilian Reininghaus,
  SciPost Phys. Proc. 15, 019 (2024)
• How to understand limitations of generative networks
  by Ranit Das, Luigi Favaro, Theo Heimel, Claudius Krause, Tilman Plehn, David Shih,
  SciPost Phys. 16, 031 (2024)
• Performance versus resilience in modern quark-gluon tagging
  by Anja Butter, Barry M. Dillon, Tilman Plehn, Lorenz Vogel,
  SciPost Phys. Core 6, 085 (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)
• 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)
• jVMC: Versatile and performant variational Monte Carlo leveraging automated differentiation and GPU acceleration
  by Markus Schmitt, Moritz Reh,
  SciPost Phys. Codebases 2 (2022)
• Codebase release 0.1 for jVMC
  by Markus Schmitt, Moritz Reh,
  SciPost Phys. Codebases 2-r0.1 (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)
• 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)
• 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)
• 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)
• 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)