- Automated Learning: An Implementation of The A* Search Algorithm over The Random Base Functions
2022/11/09 by Tatari, Nima · 1 citation
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
- Machine-Learned Exclusion Limits without Binning
2022/11/09 by E. Arganda, Arganda, Ernesto, Andres D. Perez +5 · 2 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Dark Matter and Cosmic Phenomena #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) #Machine Learning (stat.ML) #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Rational Tracer: a Tool for Faster Rational Function Reconstruction
2022/11/07 by Vitaly Magerya, Magerya, Vitaly · 7 citations
Computer Science · #Advanced Data Storage Technologies #Data Analysis #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Numerical Methods and Algorithms #Parallel Computing and Optimization Techniques #Statistics and Probability (physics.data-an)
- Differences in collaboration structures and impact among prominent researchers in Europe and North America
2022/11/03 by Lluis Danus, Danus, Lluis, Carles Muntaner +7 · 2 citations
Business, Management and Accounting · Decision Sciences · Physics and Astronomy · #Complex Network Analysis Techniques #Data Analysis #Digital Libraries (cs.DL) #FOS: Computer and information sciences #FOS: Physical sciences #Innovation and Knowledge Management #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an) #scientometrics and bibliometrics research
- Permutation entropy of indexed ensembles: Quantifying thermalization dynamics
2022/10/27 by Andrés Aragoneses, Aragoneses, Andrés, Arie Kapulkin +3 · 1 citation
Neuroscience · Physics and Astronomy · #37-Dxx #Chaos control and synchronization #Chaotic Dynamics (nlin.CD) #Data Analysis #FOS: Physical sciences #H.4 #I.5 #Neural dynamics and brain function #Pattern Formation and Solitons (nlin.PS) #Statistical Mechanics (cond-mat.stat-mech) #Statistical Mechanics and Entropy #Statistics and Probability (physics.data-an)
- GraphNeT: Graph neural networks for neutrino telescope event reconstruction
2022/10/21 by Søgaard, Andreas, Ørsøe, Rasmus F., Bozianu, Leon +6 · 2 citations
#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)
- Time Series Synthesis via Multi-scale Patch-based Generation of Wavelet Scalogram
2022/10/21 by Hadi Meidani, Kazemi, Amir, Meidani, Hadi · 1 citation
Computer Science · Economics, Econometrics and Finance · #Artificial Intelligence (cs.AI) #Complex Systems and Time Series Analysis #Data Analysis #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Signal Processing (eess.SP) #Statistics and Probability (physics.data-an) #Time Series Analysis and Forecasting #electronic engineering #information engineering
- Machine-Learning Compression for Particle Physics Discoveries
2022/10/20 by Jack H. Collins, Collins, Jack H., Yifeng Huang +7 · 1 citation
Engineering · Physics and Astronomy · #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) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an) #Superconducting Materials and Applications
- Estimation of the number of counts on a particle counter detector with full time resolution
2022/10/11 by Flavia Gesualdi, A. D. Supanitsky, Gesualdi, Flavia +1 · 1 citation
Physics and Astronomy · #Astrophysics and Cosmic Phenomena #Dark Matter and Cosmic Phenomena #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Instrumentation and Detectors (physics.ins-det) #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Neutrino Physics Research #Nuclear Experiment (nucl-ex) #Statistics and Probability (physics.data-an)
- Applicability of Hubbert model to global mining industry: Interpretations and insights
2022/10/05 by Lucas Riondet, Riondet, Lucas, Daniel Suchet +5 · 2 citations
Energy · Engineering · #Data Analysis #FOS: Physical sciences #Global Energy and Sustainability Research #Mining Techniques and Economics #Physics and Society (physics.soc-ph) #Reservoir Engineering and Simulation Methods #Statistics and Probability (physics.data-an)
- What shapes the loss landscape of self-supervised learning?
2022/10/02 by Liu Ziyin, Ziyin, Liu, Ekdeep Singh Lubana +5 · 2 citations
Computer Science · #Data Analysis #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Physical sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning and Data Classification #Statistics and Probability (physics.data-an)
- New Metric Formulas that Include Measurement Errors in Machine Learning for Natural Sciences
2022/09/30 by Umberto Michelucci, Francesca Venturini, Michelucci, Umberto +1 · 1 citation
Computer Science · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Statistics and Probability (physics.data-an)
- Predicting the power grid frequency of European islands
2022/09/27 by Thorbjørn Lund Onsaker, Heidi S. Nygård, Onsaker, Thorbjørn Lund +17 · 1 citation
Engineering · #Applications (stat.AP) #Data Analysis #Electric Power System Optimization #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Integrated Energy Systems Optimization #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Neural Stochastic Control
2022/09/15 by Jingdong Zhang, Zhang, Jingdong, Qunxi Zhu +3 · 2 citations
Computer Science · Physics and Astronomy · #34K50 #60H10 #68T07 #93E15 #93E35 #Adaptation and Self-Organizing Systems (nlin.AO) #Data Analysis #FOS: Electrical engineering #FOS: Mathematics #FOS: Physical sciences #I.2.8 #J.2 #Model Reduction and Neural Networks #Neural Networks and Applications #Optimization and Control (math.OC) #Statistics and Probability (physics.data-an) #Stochastic Gradient Optimization Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
- Deep-learning approach for the atomic configuration interaction problem on large basis sets
2022/09/13 by Pavlo Bilous, Bilous, Pavlo, Adriana Pálffy +3 · 2 citations
Chemical Engineering · Materials Science · Physics and Astronomy · #Advanced Chemical Physics Studies #Atomic Physics (physics.atom-ph) #Catalysis and Oxidation Reactions #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Machine Learning in Materials Science #Statistics and Probability (physics.data-an)
- Quantum-Classical Hybrid Information Processing via a Single Quantum System
2022/09/01 by Quoc Hoan Tran, Tran, Quoc Hoan, Sanjib Ghosh +3 · 3 citations
Computer Science · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Quantum Computing Algorithms and Architecture #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Statistics and Probability (physics.data-an)
- Performance Optimization and Parameters Estimation for MIMO-OFDM Dual-functional Communication-radar Systems
2022/08/28 by Zhong, Chen, Gu, Chunrong, Tang, Lan +2 · 1 citation
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Statistics and Probability (physics.data-an)
- Finding the semantic similarity in single-particle diffraction images using self-supervised contrastive projection learning
2022/08/24 by Zimmermann, Julian, Beguet, Fabien, Guthruf, Daniel +2 · 1 citation
#62M45 #Atomic and Molecular Clusters (physics.atm-clus) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #I.2.10 #J.2 #Statistics and Probability (physics.data-an)
- Three-Dimensional Coherent Diffractive Imaging of Isolated Faceted Nanostructures
2022/08/08 by Colombo, Alessandro, Dold, Simon, Kolb, Patrice +29 · 7 citations
#Atomic and Molecular Clusters (physics.atm-clus) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Neural and Evolutionary Computing (cs.NE) #Optics (physics.optics) #Statistics and Probability (physics.data-an)
- Information bottleneck theory of high-dimensional regression: relevancy, efficiency and optimality
2022/08/08 by Vudtiwat Ngampruetikorn, Ngampruetikorn, Vudtiwat, David J. Schwab +1 · 3 citations
Computer Science · Physics and Astronomy · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #H.1.1 #I.2.6 #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Mechanics (cond-mat.stat-mech) #Statistical Mechanics and Entropy #Statistics and Probability (physics.data-an) #Stochastic Gradient Optimization Techniques
- Quantum Mechanics for Closure of Dynamical Systems
2022/08/05 by David E. Freeman, Freeman, David, Dimitrios Giannakis +3 · 2 citations
Computer Science · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #Computational Physics and Python Applications #Data Analysis #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Model Reduction and Neural Networks #Neural Networks and Applications #Quantum Physics (quant-ph) #Statistics Theory (math.ST) #Statistics and Probability (physics.data-an)
- Background Modeling for Double Higgs Boson Production: Density Ratios and Optimal Transport
2022/08/04 by Tudor Manole, Manole, Tudor, P. Bryant +7 · 3 citations
Medicine · Physics and Astronomy · #Applications (stat.AP) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Medical Imaging Techniques and Applications #Methodology (stat.ME) #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Computer Vision Methods for the Microstructural Analysis of Materials: The State-of-the-art and Future Perspectives
2022/07/29 by Khaled Alrfou, Amir Kordijazi, Alrfou, Khaled +3 · 1 citation
Engineering · Materials Science · #Applied Physics (physics.app-ph) #Computer Vision and Pattern Recognition (cs.CV) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Industrial Vision Systems and Defect Detection #Machine Learning in Materials Science #Materials Science (cond-mat.mtrl-sci) #Statistics and Probability (physics.data-an) #X-ray Diffraction in Crystallography
- Improving Deep Neural Network Random Initialization Through Neuronal Rewiring
2022/07/17 by Leonardo Scabini, Bernard De Baets, Scabini, Leonardo +3 · 2 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Computer Vision and Pattern Recognition (cs.CV) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Neural and Evolutionary Computing (cs.NE) #Statistics and Probability (physics.data-an) #Stochastic Gradient Optimization Techniques
- Network bypasses sustain complexity
2022/07/14 by Ernesto Estrada, Estrada, Ernesto, Gómez-Gardeñes, Jesús +1 · 1 citation
Computer Science · Neuroscience · Physics and Astronomy · #Complex Network Analysis Techniques #Data Analysis #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an) #Topological and Geometric Data Analysis
- Implications of Modeling Seasonal Differences in the Extremal Dependence of Rainfall Maxima
2022/07/06 by Jurado, Oscar E., Oesting, Marco, Rust, Henning W. · 2 citations
#Atmospheric and Oceanic Physics (physics.ao-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Asimov: A framework for coordinating parameter estimation workflows
2022/07/04 by Williams, Daniel, Veitch, John, Chiofalo, Maria Luisa +4 · 3 citations
#Data Analysis #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #Statistics and Probability (physics.data-an)
- Cover Your Bases: Asymptotic Distributions of the Profile Likelihood Ratio When Constraining Effective Field Theories in High-Energy Physics
2022/07/04 by F. U. Bernlochner, Bernlochner, Florian U., Daniel C. Fry +5 · 3 citations
Economics, Econometrics and Finance · Mathematics · #Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Monetary Policy and Economic Impact #Spatial and Panel Data Analysis #Statistical Methods and Inference #Statistics and Probability (physics.data-an)
- Deep Learning and Symbolic Regression for Discovering Parametric Equations
2022/07/01 by Michael Zhang, Samuel Kim, Zhang, Michael +5 · 6 citations
Computer Science · Mathematics · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistics Education and Methodologies #Statistics and Probability (physics.data-an) #Symbolic Computation (cs.SC)
- Gradients of O-information: low-order descriptors of high-order dependencies
2022/07/01 by Tomas Scagliarini, Davide Nuzzi, Scagliarini, Tomas +11 · 3 citations
Economics, Econometrics and Finance · Physics and Astronomy · #Complex Systems and Time Series Analysis #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Opinion Dynamics and Social Influence #Statistical Mechanics and Entropy #Statistics and Probability (physics.data-an)
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