Data Analysis, Statistics and Probability

Authors and titles for recent submissions

• Fri, 17 Jan 2025
• Thu, 16 Jan 2025
• Wed, 15 Jan 2025
• Tue, 14 Jan 2025
• Mon, 13 Jan 2025

See today's new changes

Wed, 15 Jan 2025 (showing 4 of 4 entries )

[9] arXiv:2501.07977 [pdf, html, other]

Title: Bayesian estimation of coupling strength and heterogeneity in a coupled oscillator model from macroscopic quantities

Yusuke Kato, Shuhei Kashiwamura, Emiri Watanabe, Masato Okada, Hiroshi Kori

Comments: 13 pages, 4 figures, 1 link to our GitHub repository

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Adaptation and Self-Organizing Systems (nlin.AO)

[10] arXiv:2501.07666 [pdf, html, other]

Title: High-Performance Data Format for Scientific Data Storage and Analysis

Gagik Gavalian

Subjects: Data Analysis, Statistics and Probability (physics.data-an)

[11] arXiv:2501.08288 (cross-list from stat.ML) [pdf, html, other]

Title: Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve

Pedro Pessoa, Max Schweiger, Lance W.Q. Xu, Tristan Manha, Ayush Saurabh, Julian Antolin Camarena, Steve Pressé

Subjects: Machine Learning (stat.ML); Machine Learning (cs.LG); Probability (math.PR); Data Analysis, Statistics and Probability (physics.data-an); Quantitative Methods (q-bio.QM)

[12] arXiv:2501.07605 (cross-list from cond-mat.mtrl-sci) [pdf, other]

Title: Three-dimensional (3D) tensor-based methodology for characterizing 3D anisotropic thermal conductivity tensor

Dihui Wang, Heng Ban, Puqing Jiang

Subjects: Materials Science (cond-mat.mtrl-sci); Data Analysis, Statistics and Probability (physics.data-an)

Tue, 14 Jan 2025 (showing 2 of 2 entries )

[13] arXiv:2501.06896 (cross-list from cs.LG) [pdf, html, other]

Title: Introduction to the Usage of Open Data from the Large Hadron Collider for Computer Scientists in the Context of Machine Learning

Timo Saala, Matthias Schott

Comments: 34 pages, 22 figures (without Appendix)

Subjects: Machine Learning (cs.LG); High Energy Physics - Experiment (hep-ex); Data Analysis, Statistics and Probability (physics.data-an)

[14] arXiv:2501.06661 (cross-list from cs.LG) [pdf, html, other]

Title: Learning dynamical systems with hit-and-run random feature maps

Pinak Mandal, Georg A. Gottwald

Subjects: Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an); Methodology (stat.ME); Machine Learning (stat.ML)

Mon, 13 Jan 2025 (showing 3 of 3 entries )

[15] arXiv:2501.05603 [pdf, html, other]

Title: Automatizing the search for mass resonances using BumpNet

Jean-Francois Arguin, Georges Azuelos, Émile Baril, Ilan Bessudo, Fannie Bilodeau, Maryna Borysova, Shikma Bressler, Samuel Calvet, Julien Donini, Etienne Dreyer, Michael Kwok Lam Chu, Eva Mayer, Ethan Meszaros, Nilotpal Kakati, Bruna Pascual Dias, Joséphine Potdevin, Amit Shkuri, Muhammad Usman

Subjects: Data Analysis, Statistics and Probability (physics.data-an); High Energy Physics - Experiment (hep-ex); High Energy Physics - Phenomenology (hep-ph)

[16] arXiv:2501.06144 (cross-list from math.NA) [pdf, html, other]

Title: Hybrid Weight Window Techniques for Time-Dependent Monte Carlo Neutronics

Caleb S. Shaw, Dmitriy Y. Anistratov

Subjects: Numerical Analysis (math.NA); Data Analysis, Statistics and Probability (physics.data-an)

[17] arXiv:2501.05547 (cross-list from cond-mat.stat-mech) [pdf, html, other]

Title: Deep learning of phase transitions with minimal examples

Ahmed Abuali, David A. Clarke, Morten Hjorth-Jensen, Ioannis Konstantinidis, Claudia Ratti, Jianyi Yang

Subjects: Statistical Mechanics (cond-mat.stat-mech); Nuclear Theory (nucl-th); Data Analysis, Statistics and Probability (physics.data-an)