31. From few to many maps: A fast map-level emulator for extreme augmentation of CMB systematics datasets
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    #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #Data Analysis #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Statistics and Probability (physics.data-an)
32. Estimating complete basis set extrapolation error through random walk
    2025/03/12 by Lang, Jakub, Przybytek, Michał, Lesiuk, Michał · 4 citations
    #Chemical Physics (physics.chem-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
33. SPARKX: A Software Package for Analyzing Relativistic Kinematics in Collision Experiments
    2025/03/12 by Sass, Nils, Roch, Hendrik, Götz, Niklas +2 · 1 citation
    #Data Analysis #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Nuclear Theory (nucl-th) #Statistics and Probability (physics.data-an)
34. Schrödinger Bridges for Systems of Interacting Particles
    2025/03/12 by Orland, Henri · 1 citation
    #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
35. L²M: Mutual Information Scaling Law for Long-Context Language Modeling
    2025/03/06 by Zhuo Chen, Chen, Zhuo, Oriol Mayné i Comas +8 · 1 voice · 3 citations
    Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Big Data and Digital Economy #Computation and Language (cs.CL) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Natural Language Processing Techniques #Statistics and Probability (physics.data-an) #Topic Modeling #cs.AI #cs.CL #cs.IT #cs.LG #physics.data-an
36. Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders
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    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
37. Realization of discretized response in rare-earth vanadates accessed by AC susceptibility and magnetocaloric methods
    2025/02/22 by Li, Yuntian, Ye, Linda, Zic, Mark P. +2 · 1 citation
    #Data Analysis #FOS: Physical sciences #Instrumentation and Detectors (physics.ins-det) #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)
38. On the role of symmetry and geometry in global quantum sensing
    2025/02/20 by Boeyens, Julia, Glatthard, Jonas, Gandar, Edward +3 · 2 citations
    #Data Analysis #FOS: Physical sciences #Mathematical Physics (math-ph) #Quantum Physics (quant-ph) #Statistics and Probability (physics.data-an)
39. Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data
    2025/02/19 by Gambhir, Rikab, Mastandrea, Radha, Nachman, Benjamin +1 · 2 citations
    #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)
40. Machine learning for modelling unstructured grid data in computational physics: a review
    2025/02/13 by Cheng, Sibo, Bocquet, Marc, Ding, Weiping +20 · 4 citations
    #Computational Engineering #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Fluid Dynamics (physics.flu-dyn) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an) #and Science (cs.CE)
41. Distribution of singular values in large sample cross-covariance matrices
    2025/02/07 by Arabind Swain, Swain, Arabind, Sean A. Ridout +3 · 1 citation
    Agricultural and Biological Sciences · Mathematics · #Advanced Statistical Methods and Models #Data Analysis #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Mathematics #FOS: Physical sciences #Random Matrices and Applications #Sensory Analysis and Statistical Methods #Statistics Theory (math.ST) #Statistics and Probability (physics.data-an)
42. Free Energy Risk Metrics for Systemically Safe AI: Gatekeeping Multi-Agent Study
    2025/02/06 by Michael A. Walters, R. Kaufmann, Walters, Michael +5 · 1 citation
    Business, Management and Accounting · Engineering · Social Sciences · #Artificial Intelligence (cs.AI) #Data Analysis #Ethics and Social Impacts of AI #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Smart Grid Security and Resilience #Statistics and Probability (physics.data-an) #Supply Chain Resilience and Risk Management
43. DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
    2025/01/30 by Tom Dooney, Harsh Narola, Dooney, Tom +11 · 2 citations
    Earth and Planetary Sciences · Physics and Astronomy · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #Instrumentation and Detectors (physics.ins-det) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Pulsars and Gravitational Waves Research #Seismic Imaging and Inversion Techniques #Seismic Waves and Analysis #Statistics and Probability (physics.data-an)
44. QCD Theory meets Information Theory
    2025/01/28 by Assi, Benoît, Höche, Stefan, Lee, Kyle +1 · 1 citation
    #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th) #Statistics and Probability (physics.data-an)
45. Tensor-Based Binary Graph Encoding for Variational Quantum Classifiers
    2025/01/24 by Shiwen An, Konstantinos Slavakis, An, Shiwen +1 · 1 citation
    Computer Science · #Computational Physics and Python Applications #Data Analysis #FOS: Physical sciences #Quantum Computing Algorithms and Architecture #Quantum Physics (quant-ph) #Quantum-Dot Cellular Automata #Statistics and Probability (physics.data-an)
46. Anomaly Detection for Automated Data Quality Monitoring in the CMS Detector
    2025/01/23 by Brinkerhoff, Andrew, Sutantawibul, Chosila, White, Robert +23 · 2 citations
    #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det) #Statistics and Probability (physics.data-an)
47. Physics of Skill Learning
    2025/01/21 by Ziming Liu, Y Liu, Liu, Ziming +7 · 2 citations
    Social Sciences · #Artificial Intelligence (cs.AI) #Data Analysis #Education and Critical Thinking Development #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an)
48. Decomposing Interventional Causality into Synergistic, Redundant, and Unique Components
    2025/01/20 by Abel Jansma, Jansma, Abel · 2 voices · 4 citations
    Computer Science · Decision Sciences · Health Professions · Physics and Astronomy · #62D20 (Secondary) #68T01 (Primary) 06A11 #Artificial Intelligence (cs.AI) #Data Analysis #Evaluation and Performance Assessment #F.2.1 #FOS: Computer and information sciences #FOS: Physical sciences #G.2.1 #Health Policy Implementation Science #I.2.4 #Information Theory (cs.IT) #Statistics and Probability (physics.data-an) #cs.AI #cs.IT #physics.data-an
49. Linear scaling causal discovery from high-dimensional time series by dynamical community detection
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    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Methodology (stat.ME) #Statistics and Probability (physics.data-an)
50. Principled model selection for stochastic dynamics
    2025/01/17 by Andonis Gerardos, Gerardos, Andonis, Pierre Ronceray +1 · 1 citation
    Decision Sciences · Engineering · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Fault Detection and Control Systems #Machine Learning (stat.ML) #Simulation Techniques and Applications #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
51. Bayesian estimation of coupling strength and heterogeneity in a coupled oscillator model from macroscopic quantities
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    #Adaptation and Self-Organizing Systems (nlin.AO) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
52. High-Performance Data Format for Scientific Data Storage and Analysis
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    #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
53. Introduction to the Usage of Open Data from the Large Hadron Collider for Computer Scientists in the Context of Machine Learning
    2025/01/12 by Saala, Timo, Schott, Matthias · 2 citations
    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
54. Learning dynamical systems with hit-and-run random feature maps
    2025/01/11 by Mandal, Pinak, Gottwald, Georg A. · 2 citations
    #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics and Probability (physics.data-an)
55. Hybrid Weight Window Techniques for Time-Dependent Monte Carlo Neutronics
    2025/01/10 by Shaw, Caleb S., Anistratov, Dmitriy Y. · 1 citation
    #Data Analysis #FOS: Mathematics #FOS: Physical sciences #Numerical Analysis (math.NA) #Statistics and Probability (physics.data-an)
56. Local predictors of explosive synchronization with ordinal methods
    2025/01/09 by Leyva, I., Almendral, Juan A., Letellier, Christophe +1 · 1 citation
    #Chaotic Dynamics (nlin.CD) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
57. Sparse identification of evolution equations via Bayesian model selection
    2025/01/01 by Kroll, Tim W., Kamps, Oliver · 2 citations
    #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
58. Active and transfer learning with partially Bayesian neural networks for materials and chemicals
    2025/01/01 by Sarah I. Allec, Maxim Ziatdinov, Allec, Sarah I. +1 · 1 citation
    Engineering · #Data Analysis #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Fault Detection and Control Systems #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)
59. Diffractive Magic Cube Network with Super-high Capacity Enabled by Mechanical Reconfiguration
    2024/12/30 by Feng, Peijie, Liu, Fubei, Liu, Yuanfeng +6 · 1 citation
    #Applied Physics (physics.app-ph) #Data Analysis #FOS: Physical sciences #Optics (physics.optics) #Statistics and Probability (physics.data-an)
60. Neural network biased corrections: Cautionary study in background corrections for quenched jets
    2024/12/19 by Stewart, David, Putschke, Joern · 1 citation
    #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Nuclear Experiment (nucl-ex) #Statistics and Probability (physics.data-an)

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