SciPost Submissions

Submissions:

• Physics:  Artificial Intelligence  •  Condensed Matter Physics - Computational  •  Statistical and Soft Matter Physics

  Conditional generative models for sampling and phase transition indication in spin systems

  by Japneet Singh, Mathias S. Scheurer, Vipul Arora

  Version 2 (latest version)
  Published as SciPost Phys. 11, 043 (2021) · latest activity: 2024-02-16 21:14

• Physics:  Artificial Intelligence

  Symmetry meets AI

  by Gabriela Barenboim, Johannes Hirn, Veronica Sanz

  Version 2 (latest version)
  Published as SciPost Phys. 11, 014 (2021) · latest activity: 2024-02-16 21:14

• Physics:  Artificial Intelligence  •  Neural and Evolutionary Computing  •  Atomic, Molecular and Optical Physics - Experiment  •  Atomic, Molecular and Optical Physics - Theory  •  Condensed Matter Physics - Experiment  •  Condensed Matter Physics - Theory  •  Quantum Physics

  Machine Learning and Quantum Devices

  by Florian Marquardt

  Version 2 (latest version)
  Published as SciPost Phys. Lect. Notes 29 (2021) · latest activity: 2024-02-16 21:14

• Physics:  Artificial Intelligence  •  Quantum Physics

  Supervised learning of few dirty bosons with variable particle number

  by Pere Mujal, Àlex Martínez Miguel, Artur Polls, Bruno Juliá-Díaz, Sebastiano Pilati

  Version 3 (latest version)
  Published as SciPost Phys. 10, 073 (2021) · latest activity: 2024-03-28 16:17

• Physics:  Artificial Intelligence  •  High-Energy Physics - Phenomenology

  Improved Neural Network Monte Carlo Simulation

  by I-Kai Chen, Matthew D. Klimek, Maxim Perelstein

  Version 2 (latest version)
  Published as SciPost Phys. 10, 023 (2021) · latest activity: 2024-02-16 21:14

• Physics:  Artificial Intelligence  •  High-Energy Physics - Phenomenology

  Neural Network-Based Approach to Phase Space Integration

  by Matthew D. Klimek, Maxim Perelstein

  Version 2 (latest version)
  Published as SciPost Phys. 9, 053 (2020) · latest activity: 2024-02-16 21:14

• Physics:  Artificial Intelligence  •  Condensed Matter Physics - Computational

  Detecting Nematic Order in STM/STS Data with Artificial Intelligence

  by Jeremy B. Goetz, Yi Zhang, Michael J. Lawler

  Version 3 (latest version)
  Published as SciPost Phys. 8, 087 (2020) · latest activity: 2024-02-16 21:14

• Physics:  Artificial Intelligence  •  Statistical and Soft Matter Physics

  From complex to simple : hierarchical free-energy landscape renormalized in deep neural networks

  by Hajime Yoshino

  Version 3 (latest version)
  Published as SciPost Phys. Core 2, 005 (2020) · latest activity: 2024-02-16 21:14

• Physics:  Artificial Intelligence  •  Computational Complexity  •  Data Structures and Algorithms  •  Condensed Matter Physics - Computational  •  Quantum Physics  •  Statistical and Soft Matter Physics

  Fast counting with tensor networks

  by Stefanos Kourtis, Claudio Chamon, Eduardo R. Mucciolo, Andrei E. Ruckenstein

  Version 2 (latest version)
  Published as SciPost Phys. 7, 060 (2019) · latest activity: 2024-02-16 21:14

• Physics:  Artificial Intelligence  •  High-Energy Physics - Phenomenology

  Deep-Learning Jets with Uncertainties and More

  by Sven Bollweg, Manuel Haussmann, Gregor Kasieczka, Michel Luchmann, Tilman Plehn, Jennifer Thompson

  Version 2 (latest version)
  Published as SciPost Phys. 8, 006 (2020) · latest activity: 2024-02-16 21:14