Data Analysis, Statistics and Probability

Authors and titles for recent submissions

• Mon, 29 Jun 2026
• Fri, 26 Jun 2026
• Thu, 25 Jun 2026
• Wed, 24 Jun 2026
• Tue, 23 Jun 2026

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Mon, 29 Jun 2026

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Fri, 26 Jun 2026 (showing 5 of 5 entries )

[1] arXiv:2606.26228 [pdf, html, other]

Title: Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics

Rikab Gambhir, Luisa Lucie-Smith, Jesse Thaler

Comments: 31 pages, 3 figures, Part of the VERaiPHY Initiative

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Astrophysics of Galaxies (astro-ph.GA); Machine Learning (cs.LG); High Energy Physics - Phenomenology (hep-ph)

[2] arXiv:2606.27126 (cross-list from cs.LG) [pdf, html, other]

Title: Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs

Miguel Jaraiz, Fermin Gutierrez, Pablo Yeste, Miguel Sánchez-Domínguez, Eusebio Valero, Gonzalo Rubio, Lucas Lacasa

Subjects: Machine Learning (cs.LG); Data Analysis, Statistics and Probability (physics.data-an); Fluid Dynamics (physics.flu-dyn)

[3] arXiv:2606.26811 (cross-list from nlin.CD) [pdf, html, other]

Title: Emergence of Gamma-Type Upward-Phase Statistics in the Collatz Map: An Effective Poisson Process Mechanism

Weicheng Fu, Xiaobin Liu, Yisen Wang

Comments: 7 pages; 5 figs

Subjects: Chaotic Dynamics (nlin.CD); Data Analysis, Statistics and Probability (physics.data-an)

[4] arXiv:2606.26577 (cross-list from cond-mat.mtrl-sci) [pdf, html, other]

Title: Shape-Constrained Bayesian Active Learning of Self-Limiting Saturation Curves

Pouyan Navabi, Christos G. Takoudis

Subjects: Materials Science (cond-mat.mtrl-sci); Chemical Physics (physics.chem-ph); Data Analysis, Statistics and Probability (physics.data-an); Quantitative Methods (q-bio.QM)

[5] arXiv:2606.26164 (cross-list from cs.LG) [pdf, html, other]

Title: \chisao{}: A GPU-Native Parallel Optimizer for Multimodal Black-Box Functions via Convergence-Anticonvergence Oscillation

Ira Wolfson

Comments: 22 pages, 4 Appendixes

Subjects: Machine Learning (cs.LG); Numerical Analysis (math.NA); Data Analysis, Statistics and Probability (physics.data-an); Computation (stat.CO)

Thu, 25 Jun 2026 (showing 2 of 2 entries )

[6] arXiv:2606.25155 (cross-list from physics.soc-ph) [pdf, html, other]

Title: Wasserstein recurrence networks for multiscale time series pattern analysis

Béatrice Désy, Nicholas R. Golledge, Hana Ishii, Markus Luczak-Roesch

Subjects: Physics and Society (physics.soc-ph); Data Analysis, Statistics and Probability (physics.data-an)

[7] arXiv:2606.24971 (cross-list from astro-ph.IM) [pdf, html, other]

Title: Empirical-Bayes Unfolding of $γ$-ray Spectra

A. H. Mjøs, E. Lima, A. Kvellestad, A. C. Larsen, M. Hjorth-Jensen

Comments: 33 pages, 19 figures, submitted to Phys. Rev. C

Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Nuclear Experiment (nucl-ex); Data Analysis, Statistics and Probability (physics.data-an); Instrumentation and Detectors (physics.ins-det)

Wed, 24 Jun 2026 (showing 5 of 5 entries )

[8] arXiv:2606.24351 (cross-list from q-bio.NC) [pdf, html, other]

Title: Graph-based analysis of inflammatory profiles in New Onset Refractory Status Epilepticus (NORSE)

Linon Denis, Martin Guillemaud, Vincent Navarro, Aurélie Hanin, Mario Chavez

Subjects: Neurons and Cognition (q-bio.NC); Data Analysis, Statistics and Probability (physics.data-an)

[9] arXiv:2606.24264 (cross-list from cs.SI) [pdf, other]

Title: Discovery of connectivity-trainability trade-off of IQP Circuits for Hamiltonian Optimization

Quoc Chuong Nguyen

Comments: The data about the gradient variance (Fig. 2) should be check again, there are maybe some errors in that data

Subjects: Social and Information Networks (cs.SI); Numerical Analysis (math.NA); Data Analysis, Statistics and Probability (physics.data-an); Quantum Physics (quant-ph)

[10] arXiv:2606.23854 (cross-list from astro-ph.IM) [pdf, other]

Title: Astrobiology in the Time of Artificial Intelligence

Caleb Scharf

Comments: 17 pages, no figures. Accepted and published by The Astrobiology Journal, June 2026

Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Earth and Planetary Astrophysics (astro-ph.EP); Data Analysis, Statistics and Probability (physics.data-an)

[11] arXiv:2606.23838 (cross-list from cs.LG) [pdf, html, other]

Title: The Degeneracy Distillery

T. Lucas Makinen, Deaglan J. Bartlett, Niall Jeffrey, Benjamin D. Wandelt

Comments: 30 pages, 10 figures. Supporting code found at this https URL

Subjects: Machine Learning (cs.LG); Instrumentation and Methods for Astrophysics (astro-ph.IM); Computational Physics (physics.comp-ph); Data Analysis, Statistics and Probability (physics.data-an); Machine Learning (stat.ML)

[12] arXiv:2606.23777 (cross-list from quant-ph) [pdf, html, other]

Title: Connecting Quantum Tomography and Quantum Retrodiction

Sebastian Murk, Ian Tan, Fabian Müller, Dominik Šafránek

Comments: 5+7 pages, 3 figures

Subjects: Quantum Physics (quant-ph); Mathematical Physics (math-ph); Statistics Theory (math.ST); Data Analysis, Statistics and Probability (physics.data-an)

Tue, 23 Jun 2026 (showing 9 of 9 entries )

[13] arXiv:2606.23215 [pdf, html, other]

Title: Where Is My Physics Wrong? Localized and Identifiable Discovery of Model Discrepancy

Yifan Wang

Comments: 12 pages, 4 figures

Subjects: Data Analysis, Statistics and Probability (physics.data-an); Artificial Intelligence (cs.AI)

[14] arXiv:2606.23396 (cross-list from physics.bio-ph) [pdf, html, other]

Title: Imaging aerosolized viruses with an X-ray free-electron laser using single-particle rotational invariants

Tim B. Berberich, Johan Bielecki, Jonas A. Sellberg, Benedikt J. Daurer, Carl Nettelblad, Paul Lourdu Xavier, Ivan A. Vartanyants, Garth J. Williams, Luca Gelisio, Richard Bean, Serguei L. Molodtsov, Petra Fromme, Andrew Aquila, Adrian P. Mancuso, Ruslan P. Kurta

Comments: 59 pages, 5 figures (main text), 26 figures (supplementary information)

Subjects: Biological Physics (physics.bio-ph); Data Analysis, Statistics and Probability (physics.data-an)

[15] arXiv:2606.22572 (cross-list from stat.ME) [pdf, html, other]

Title: OASIS: Observation-Aware Simulation-Based Inference via Distributional Matching

Arya Farahi, Conghao Zhou, Ritwik Vashistha

Comments: Main text: 10 pages and 3 figures. Comments are welcome

Subjects: Methodology (stat.ME); Instrumentation and Methods for Astrophysics (astro-ph.IM); Data Analysis, Statistics and Probability (physics.data-an); Computation (stat.CO)

[16] arXiv:2606.22440 (cross-list from physics.bio-ph) [pdf, html, other]

Title: Data-driven geometric phase in biological locomotion

Pyae Hein Htet, Kenta Ishimoto

Subjects: Biological Physics (physics.bio-ph); Soft Condensed Matter (cond-mat.soft); Adaptation and Self-Organizing Systems (nlin.AO); Data Analysis, Statistics and Probability (physics.data-an); Cell Behavior (q-bio.CB)

[17] arXiv:2606.22017 (cross-list from cond-mat.stat-mech) [pdf, html, other]

Title: The Market Crystal: A Spin-Lattice Model for Collective Cryptocurrency States

Hamidreza Oliaei-Moghadam

Comments: 11 pages, 4 figures, Introduces a spin-lattice framework for analyzing collective states in cryptocurrency markets

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

[18] arXiv:2606.21814 (cross-list from physics.soc-ph) [pdf, html, other]

Title: Ranking football teams via the higher-order decomposition of performance networks

A. Chacoma, J.I. Perotti, O.V. Billoni

Subjects: Physics and Society (physics.soc-ph); Data Analysis, Statistics and Probability (physics.data-an)

[19] arXiv:2606.21790 (cross-list from cs.LG) [pdf, html, other]

Title: What Do Lorentz-Equivariant Jet Taggers Learn?

Jay Agarwal, Siddharth Khare, Dhruv Kumar

Comments: Accepted at the AI4Physics Workshop, ICML 2026. 21 pages, 15 figures

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

[20] arXiv:2606.21768 (cross-list from quant-ph) [pdf, html, other]

Title: Common causes for quantum identical particles

A. Hovhannisyan, S. Weigert, A. E. Allahverdyan

Subjects: Quantum Physics (quant-ph); Data Analysis, Statistics and Probability (physics.data-an)

[21] arXiv:2606.20735 (cross-list from cond-mat.stat-mech) [pdf, html, other]

Title: A few remarks on hyperstatistics and some applications

Lucas Squillante, Samuel M. Soares, Guilherme Lepski, Mariano de Souza

Comments: 12 pages, 2 figures, 2 tables

Subjects: Statistical Mechanics (cond-mat.stat-mech); Atomic and Molecular Clusters (physics.atm-clus); Biological Physics (physics.bio-ph); Data Analysis, Statistics and Probability (physics.data-an); Fluid Dynamics (physics.flu-dyn); Medical Physics (physics.med-ph)