91. Inconsistency and Acausality in Bayesian Inference for Physical Problems
    2024/11/12 by Klaus Mosegaard, Andrew Curtis, Mosegaard, Klaus +1 · 2 citations
    Arts and Humanities · #60-08 #62C10 #62C12 #62F15 #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #G.3 #Methodology (stat.ME) #Philosophy and History of Science #Statistics and Probability (physics.data-an)
92. Scale-invariant dynamics in a purely deterministic Game of Life model
    2024/11/11 by Akgun, Hakan, Yan, Xianquan, Taskiran, Tamer +3 · 1 citation
    #37B15 #82B26 #82B27 #82B43 #82B44 #Cellular Automata and Lattice Gases (nlin.CG) #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
93. Model discovery on the fly using continuous data assimilation
    2024/11/07 by Newey, Joshua, Whitehead, Jared P, Carlson, Elizabeth · 4 citations
    #Data Analysis #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Numerical Analysis (math.NA) #Statistics and Probability (physics.data-an)
94. A scalable generative model for dynamical system reconstruction from neuroimaging data
    2024/11/05 by Volkmann, Eric, Brändle, Alena, Durstewitz, Daniel +1 · 4 citations
    #Chaotic Dynamics (nlin.CD) #Data Analysis #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
95. The Fundamental Limit of Jet Tagging
    2024/11/04 by Geuskens, Joep, Gite, Nishank, Krämer, Michael +4 · 3 citations
    #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)
96. An information-matching approach to optimal experimental design and active learning
    2024/11/05 by Kurniawan, Yonatan, Neilsen, Tracianne B., Francis, Benjamin L. +7 · 2 citations
    #Applied Physics (physics.app-ph) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)
97. Scalable Reinforcement Post-Training Beyond Static Human Prompts: Evolving Alignment via Asymmetric Self-Play
    2024/10/31 by Ziyu Ye, Ye, Ziyu, Tianqi Liu +11 · 9 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Analysis #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (stat.ML) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Statistics and Probability (physics.data-an)
98. Elephant random walks with graph based shared memory: First and second order asymptotics
    2024/10/30 by Deborshi Das, Das, Deborshi · 1 citation
    Computer Science · Mathematics · #Algorithms and Data Compression #Data Analysis #Data Management and Algorithms #FOS: Mathematics #FOS: Physical sciences #Probability (math.PR) #Statistics and Probability (physics.data-an) #Stochastic processes and statistical mechanics
99. A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification
    2024/10/29 by Flavio Corradini, Corradini, Flavio, Gerosa, Flavio +7 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Statistics and Probability (physics.data-an) #Time Series Analysis and Forecasting
100. SIGMA: Single Interpolated Generative Model for Anomalies
     2024/10/27 by Ranit Das, David Shih, Das, Ranit +1 · 1 citation
     Computer Science · #Algorithms and Data Compression #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
101. Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences
     2024/10/24 by Evans, Matthew L., Rignanese, Gian-Marco, Elbert, David +1 · 1 citation
     #Data Analysis #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an)
102. An Analytical Approach to the Jaccard Similarity Index
     2024/10/21 by Gonzalo Travieso, Travieso, Gonzalo, Alexandre Benatti +3 · 2 citations
     Computer Science · #Cognitive Computing and Networks #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
103. Super-resolved anomalous diffusion: deciphering the joint distribution of anomalous exponent and diffusion coefficient
     2024/10/20 by Yann Lanoiselée, Lanoiselée, Yann, Gianni Pagnini +3 · 1 citation
     Physics and Astronomy · #Atomic and Subatomic Physics Research #Biological Physics (physics.bio-ph) #Data Analysis #FOS: Mathematics #FOS: Physical sciences #NMR spectroscopy and applications #Probability (math.PR) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
104. Almost-Linear RNNs Yield Highly Interpretable Symbolic Codes in Dynamical Systems Reconstruction
     2024/10/18 by Manuel Brenner, Brenner, Manuel, Christoph Jürgen Hemmer +5 · 1 voice · 3 citations
     Computer Science · Mathematics · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Chaotic Dynamics (nlin.CD) #Data Analysis #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an) #cs.AI #cs.LG #math.DS #nlin.CD #physics.data-an
105. Learning Efficient Representations of Neutrino Telescope Events
     2024/10/17 by Yu, Felix J., Kamp, Nicholas, Argüelles, Carlos A. · 1 citation
     #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
106. Parameter estimation of structural dynamics with neural operators enabled surrogate modeling
     2024/10/15 by Mingyuan Zhou, Haoze Song, Zhou, Mingyuan +7 · 1 citation
     Engineering · #Computational Engineering #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Statistics and Probability (physics.data-an) #Structural Health Monitoring Techniques #and Science (cs.CE)
107. Adaptive, symmetry-informed Bayesian metrology for precise quantum technology measurements
     2024/10/14 by Overton, Matt, Rubio, Jesús, Cooper, Nathan +4 · 1 citation
     #Atomic Physics (physics.atom-ph) #Data Analysis #FOS: Physical sciences #Quantum Physics (quant-ph) #Statistics and Probability (physics.data-an)
108. Hybrid Summary Statistics
     2024/10/10 by T. Lucas Makinen, Ce Sui, Makinen, T. Lucas +7 · 2 citations
     Computer Science · #Bayesian Methods and Mixture Models #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an)
109. Eclipse Dynamics and X-ray Burst Characteristics in the Low-Mass X-ray Binary EXO 0748-676
     2024/10/08 by Subba, Nirpat, Subba, Nishika, Paul, Jyoti +2 · 1 citation
     #Data Analysis #FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)
110. Uncertainty estimation via ensembles of deep learning models and dropout layers for seismic traces
     2024/10/08 by Giovanni Messuti, Ortensia Amoroso, Messuti, Giovanni +9 · 1 citation
     Computer Science · Earth and Planetary Sciences · Engineering · #Data Analysis #Drilling and Well Engineering #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Seismic Imaging and Inversion Techniques #Seismology and Earthquake Studies #Statistics and Probability (physics.data-an)
111. An egonet-based approach to effective weighted network comparison
     2024/10/04 by Piccardi, Carlo · 1 citation
     #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an)
112. FAIR Universe HiggsML Uncertainty Dataset and Competition
     2024/10/03 by W. Bhimji, Benato, Lisa, P. Calafiura +44 · 4 citations
     Business, Management and Accounting · Computer Science · Decision Sciences · #Big Data and Business Intelligence #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Research Data Management Practices #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
113. QESM: A Leap Towards Quantum-Enhanced ML Emulation Framework for Earth and Climate Modeling
     2024/10/02 by Bazgir, Adib, Zhang, Yuwen · 1 citation
     #Atmospheric and Oceanic Physics (physics.ao-ph) #Data Analysis #FOS: Physical sciences #Geophysics (physics.geo-ph) #Quantum Physics (quant-ph) #Statistics and Probability (physics.data-an)
114. Multilayer directed random networks: Scaling of spectral properties
     2024/09/26 by G. Tapia-Labra, M. Hernández-Sánchez, Tapia-Labra, G. +3 · 1 citation
     Computer Science · #Data Analysis #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Neural Networks and Applications #Statistics and Probability (physics.data-an)
115. Data-driven model discovery with Kolmogorov-Arnold networks
     2024/09/23 by Moradi, Mohammadamin, Panahi, Shirin, Bollt, Erik M. +1 · 3 citations
     #Chaotic Dynamics (nlin.CD) #Data Analysis #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
116. Time-Lagged Recurrence: a data-driven method to estimate the predictability of dynamical systems
     2024/09/23 by Dong, Chenyu, Faranda, Davide, Gualandi, Adriano +2 · 1 citation
     #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
117. Efficient Training of Deep Neural Operator Networks via Randomized Sampling
     2024/09/20 by Sharmila Karumuri, Lori Graham‐Brady, Karumuri, Sharmila +3 · 2 citations
     Computer Science · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Statistics and Probability (physics.data-an)
118. A Generative Diffusion Model for Probabilistic Ensembles of Precipitation Maps Conditioned on Multisensor Satellite Observations
     2024/09/18 by Guilloteau, Clement, Kerrigan, Gavin, Nelson, Kai +4 · 2 citations
     #Atmospheric and Oceanic Physics (physics.ao-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
119. Decomposition Pipeline for Large-Scale Portfolio Optimization with Applications to Near-Term Quantum Computing
     2024/09/16 by Acharya, Atithi, Yalovetzky, Romina, Minssen, Pierre +10 · 5 citations
     #Data Analysis #FOS: Economics and business #FOS: Mathematics #FOS: Physical sciences #Optimization and Control (math.OC) #Portfolio Management (q-fin.PM) #Quantum Physics (quant-ph) #Risk Management (q-fin.RM) #Statistics and Probability (physics.data-an)
120. Limitations from charge quantization on the parallel temperature diagnostic of nonneutral plasmas
     2024/09/17 by Adrianne Zhong, J. Fajans, Zhong, Adrianne +3 · 1 citation
     Engineering · Physics and Astronomy · #Atomic and Molecular Physics #Data Analysis #FOS: Physical sciences #Instrumentation and Detectors (physics.ins-det) #Magnetic confinement fusion research #Plasma Diagnostics and Applications #Plasma Physics (physics.plasm-ph) #Statistics and Probability (physics.data-an)

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