- SDYN-GANs: Adversarial Learning Methods for Multistep Generative Models for General Order Stochastic Dynamics
2023/02/07 by Panos Stinis, Constantinos Daskalakis, Stinis, Panos +3 · 2 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Statistics and Probability (physics.data-an)
- Benchmarking sparse system identification with low-dimensional chaos
2023/02/04 by Alan A. Kaptanoglu, Kaptanoglu, Alan A., Lanyue Zhang +7 · 8 citations
Computer Science · Physics and Astronomy · #Anomaly Detection Techniques and Applications #Data Analysis #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistics and Probability (physics.data-an) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Bayesian estimation of information-theoretic metrics for sparsely sampled distributions
2023/01/31 by Piga, Angelo, Font-Pomarol, Lluc, Sales-Pardo, Marta +1 · 1 citation
#Computation (stat.CO) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Statistics and Probability (physics.data-an)
- Towards fully covariant machine learning
2023/01/31 by Soledad Villar, Villar, Soledad, David W. Hogg +7 · 1 citation
Computer Science · Decision Sciences · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Physics (math-ph) #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
- Application of Inferno to a Top Pair Cross Section Measurement with CMS Open Data
2023/01/25 by Layer, Lukas, Dorigo, Tommaso, Strong, Giles C. · 2 citations
#Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Statistics and Probability (physics.data-an)
- Koopman neural operator as a mesh-free solver of non-linear partial differential equations
2023/01/24 by Wei Xiong, Xiaomeng Huang, Xiong, Wei +9 · 6 citations
Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Lattice Boltzmann Simulation Studies #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Statistics and Probability (physics.data-an)
- A predictive physics-aware hybrid reduced order model for reacting flows
2023/01/24 by Corrochano, Adrián, Freitas, Rodolfo S. M., Parente, Alessandro +1 · 3 citations
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
- Proving new physics by measuring cosmic ray fluxes
2023/01/24 by Chilingarian, A., Hovsepyan, G. · 1 citation
#Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Emergence of complex network topologies from flow-weighted optimization of network efficiency
2023/01/20 by Sebastiano Bontorin, Bontorin, Sebastiano, Giulia Cencetti +7 · 2 citations
Engineering · Environmental Science · Social Sciences · #Data Analysis #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an) #Transportation Planning and Optimization #Urban Design and Spatial Analysis #Wildlife-Road Interactions and Conservation
- Reconstructing Rayleigh-Benard flows out of temperature-only measurements using Physics-Informed Neural Networks
2023/01/18 by Patricio Clark Di Leoni, Di Leoni, Patricio Clark, Lokahith Agasthya +5 · 1 citation
Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Chaotic Dynamics (nlin.CD) #Data Analysis #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Statistics and Probability (physics.data-an)
- Deep Learning Symmetries and Their Lie Groups, Algebras, and Subalgebras from First Principles
2023/01/13 by Roy T. Forestano, Forestano, Roy T., K. Matchev +9 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #Advanced Data Processing Techniques #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Fractal and DNA sequence analysis #High Energy Physics - Phenomenology (hep-ph) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
- GAR: Generalized Autoregression for Multi-Fidelity Fusion
2023/01/13 by Yuxin Wang, Xing Zheng, Wang, Yuxin +3 · 1 citation
Computer Science · Materials Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Statistics and Probability (physics.data-an)
- Learn your entropy from informative data: an axiom ensuring the consistent identification of generalized entropies
2023/01/13 by Andrea Somazzi, Somazzi, Andrea, Diego Garlaschelli +1 · 1 citation
Computer Science · Neuroscience · Physics and Astronomy · #62F07 #82B99 #Data Analysis #E.4 #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #H.1.1 #J.2 #Methodology (stat.ME) #Neural Networks and Applications #Neural dynamics and brain function #Statistical Mechanics and Entropy #Statistics Theory (math.ST) #Statistics and Probability (physics.data-an)
- Extraction of spin-averaged rovibrational transition frequencies in HD+ for the determination of fundamental constants
2022/12/22 by Karr, Jean-Philippe, Koelemeij, Jeroen C. J. · 3 citations
#Atomic Physics (physics.atom-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Boundary Conditions for the Parametric Kalman Filter forecast submited
2022/12/21 by Sabathier, M., Pannekoucke, O., Maget, V. +1 · 2 citations
#Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Bayesian Estimation of Experimental Parameters in Stochastic Inertial Systems: Theory, Simulations, and Experiments with Objects Levitated in Vacuum
2022/12/21 by Šiler, Martin, Svak, Vojtěch, Jonáš, Alexandr +3 · 1 citation
#Data Analysis #FOS: Physical sciences #Optics (physics.optics) #Statistics and Probability (physics.data-an)
- An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training
2022/12/16 by Backes, Mathias, Butter, Anja, Dunford, Monica +1 · 12 citations
#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)
- Inhomogeneous random graphs with infinite-mean fitness variables
2022/12/16 by Avena, Luca, Garlaschelli, Diego, Hazra, Rajat Subhra +1 · 2 citations
#Data Analysis #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Mathematics #FOS: Physical sciences #Probability (math.PR) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Efficiently Moving Instead of Reweighting Collider Events with Machine Learning
2022/12/12 by Mastandrea, Radha, Nachman, Benjamin · 1 citation
#Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)
- Measuring the fine structure constant on white dwarf surfaces; uncertainties from continuum placement variations
2022/12/01 by Chung-Chi Lee, Lee, Chung-Chi, John K. Webb +7 · 1 citation
Engineering · Mathematics · Physics and Astronomy · #Adaptive optics and wavefront sensing #Calibration and Measurement Techniques #Data Analysis #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Solar and Stellar Astrophysics (astro-ph.SR) #Statistical and numerical algorithms #Statistics and Probability (physics.data-an)
- Feature Selection with Distance Correlation
2022/11/30 by Das, Ranit, Kasieczka, Gregor, Shih, David · 1 citation
#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)
- Investigating Deep Learning Model Calibration for Classification Problems in Mechanics
2022/12/01 by Saeed Mohammadzadeh, Peerasait Prachaseree, Mohammadzadeh, Saeed +3 · 2 citations
Computer Science · Materials Science · #68T07 #74A40 #74B20 #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #I.6.3 #I.6.5 #J.2 #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Materials Science #Software Engineering Research #Statistics and Probability (physics.data-an)
- Information Geometry of Dynamics on Graphs and Hypergraphs
2022/11/26 by Tetsuya J. Kobayashi, Kobayashi, Tetsuya J., Dimitri Loutchko +7 · 5 citations
Computer Science · Neuroscience · #Chemical Physics (physics.chem-ph) #Data Analysis #Differential Geometry (math.DG) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Information Theory (cs.IT) #Neural dynamics and brain function #Statistics Theory (math.ST) #Statistics and Probability (physics.data-an) #Topological and Geometric Data Analysis
- CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
2022/11/23 by Jesse C. Cresswell, Brendan Leigh Ross, Cresswell, Jesse C. +9 · 13 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Machine Learning (cs.LG) #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Universal Dynamics of Damped-Driven Systems: The Logistic Map as a Normal Form for Energy Balance
2022/11/22 by J. Nathan Kutz, Kutz, J. Nathan, Aminur Rahman +7 · 1 citation
Computer Science · Physics and Astronomy · #Adaptation and Self-Organizing Systems (nlin.AO) #Chaos control and synchronization #Chaotic Dynamics (nlin.CD) #Data Analysis #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Nonlinear Dynamics and Pattern Formation #Popular Physics (physics.pop-ph) #Quantum chaos and dynamical systems #Statistics and Probability (physics.data-an)
- On the inadequacy of nominal assortativity for assessing homophily in networks
2022/11/18 by Karimi, Fariba, Oliveira, Marcos · 3 citations
#Computers and Society (cs.CY) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Methodology (stat.ME) #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an)
- Dimensional homogeneity constrained gene expression programming for discovering governing equations
2022/11/16 by Wenjun Ma, Ma, Wenjun, Jun Zhang +7 · 4 citations
Computer Science · Engineering · #Advanced Control Systems Optimization #Advanced Multi-Objective Optimization Algorithms #Computational Physics (physics.comp-ph) #Data Analysis #Evolutionary Algorithms and Applications #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Lossy Compression of Electron Diffraction Patterns for Ptychography via Change of Basis
2022/11/14 by Anton Gladyshev, Thomas C. Pekin, Gladyshev, Anton +9 · 1 citation
Medicine · Physics and Astronomy · #Advanced X-ray Imaging Techniques #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Particle physics theoretical and experimental studies #Pediatric Urology and Nephrology Studies #Statistics and Probability (physics.data-an)
- 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)
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