- Segmenting mechanically heterogeneous domains via unsupervised learning
2023/08/30 by Nguyen, Quan, Lejeune, Emma · 3 citations
#74E05 #Data Analysis #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an) #Tissues and Organs (q-bio.TO)
- Multiscale and Anisotropic Characterization of Images Based on Complexity: an Application to Turbulence
2023/08/29 by Carlos Granero-Belinchón, Stéphane G. Roux, Granero-Belinchon, Carlos +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Cell Image Analysis Techniques #Data Analysis #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Statistics and Probability (physics.data-an)
- Training Neural Networks with Universal Adiabatic Quantum Computing
2023/08/24 by Abel, Steve, Criado, Juan Carlos, Spannowsky, Michael · 1 citation
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #High Energy Physics - Theory (hep-th) #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #Statistics and Probability (physics.data-an)
- Probabilistic Mixture Model-Based Spectral Unmixing
2023/08/24 by Oliver Hoidn, Hoidn, Oliver, Aashwin Mishra +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Chemistry · Engineering · #Data Analysis #FOS: Physical sciences #Remote-Sensing Image Classification #Spectroscopy Techniques in Biomedical and Chemical Research #Spectroscopy and Chemometric Analyses #Statistics and Probability (physics.data-an)
- Multiple scattering of 855 MeV electrons in amorphous and crystalline silicon: simulations versus experiment
2023/08/21 by Rojas-Lorenzo, German, Rubayo-Soneira, Jesus, Marquez-Mijares, Maykel +2 · 1 citation
#Accelerator Physics (physics.acc-ph) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Persistent homology of collider observations: when (w)hole matters
2023/08/21 by Jyotiranjan Beuria, Beuria, Jyotiranjan · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Chaotic Dynamics (nlin.CD) #Computational Physics and Python Applications #Data Analysis #FOS: Physical sciences #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an) #Topological and Geometric Data Analysis
- Bayesian Variational Time-lapse Full-waveform Inversion
2023/08/17 by Xin Zhang, Zhang, Xin, Andrew Curtis +1 · 1 citation
Earth and Planetary Sciences · Engineering · #Data Analysis #FOS: Physical sciences #Geophysics (physics.geo-ph) #Hydraulic Fracturing and Reservoir Analysis #Seismic Imaging and Inversion Techniques #Seismic Waves and Analysis #Statistics and Probability (physics.data-an)
- Machine Learning Based Alignment For LCLS-II-HE Optics
2023/08/15 by Mishra, Aashwin, Brennan, Nicholas, Huang, Tianyu +3 · 1 citation
#Accelerator Physics (physics.acc-ph) #Data Analysis #FOS: Physical sciences #Statistics and Probability (physics.data-an)
- Robust reconstruction of sparse network dynamics
2023/08/12 by Tiago Pereira, Pereira, Tiago, Edmilson Roque dos Santos +3 · 3 citations
Computer Science · Economics, Econometrics and Finance · Neuroscience · #37A25 #37E05 #37M25 #37N99 #Complex Systems and Time Series Analysis #Data Analysis #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Neural dynamics and brain function #Nonlinear Dynamics and Pattern Formation #Statistics and Probability (physics.data-an)
- Information decomposition reveals hidden high-order contributions to temporal irreversibility
2023/08/10 by Luppi, Andrea I, Rosas, Fernando E., Deco, Gustavo +2 · 1 citation
#Data Analysis #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Mathematical Physics (math-ph) #Neurons and Cognition (q-bio.NC) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Denoising diffusion models with geometry adaptation for high fidelity calorimeter simulation
2023/08/07 by O. Amram, K. Pedro, Amram, Oz +1 · 12 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #Data Analysis #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an)
- Novel Physics-Based Machine-Learning Models for Indoor Air Quality Approximations
2023/08/02 by Ahmad Mohammadshirazi, Mohammadshirazi, Ahmad, Aida Nadafian +7 · 2 citations
Engineering · Environmental Science · #Air Quality Monitoring and Forecasting #Artificial Intelligence (cs.AI) #Building Energy and Comfort Optimization #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #I.2.6 #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an) #Urban Heat Island Mitigation
- Identifying drivers and mitigators for congestion and redispatch in the German electric power system with explainable AI
2023/07/24 by Maurizio Titz, Sebastian Pütz, Titz, Maurizio +3 · 2 citations
Engineering · #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
- Vicsek Model Meets DBSCAN: Cluster Phases in the Vicsek Model
2023/07/24 by Hideyuki Miyahara, Hyu Yoneki, Miyahara, Hideyuki +3 · 1 citation
Environmental Science · Physics and Astronomy · Social Sciences · #Adaptation and Self-Organizing Systems (nlin.AO) #Complex Network Analysis Techniques #Data Analysis #Ecology and Vegetation Dynamics Studies #Evolutionary Game Theory and Cooperation #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Learning minimal representations of stochastic processes with variational autoencoders
2023/07/21 by Gabriel Fernández-Fernández, Carlo Manzo, Fernández-Fernández, Gabriel +7 · 3 citations
Computer Science · Physics and Astronomy · #Biological Physics (physics.bio-ph) #Data Analysis #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Quantitative Methods (q-bio.QM) #Soft Condensed Matter (cond-mat.soft) #Statistics and Probability (physics.data-an)
- Field-Level Inference with Microcanonical Langevin Monte Carlo
2023/07/18 by Adrian E. Bayer, Uroš Seljak, Bayer, Adrian E. +3 · 8 citations
Computer Science · Mathematics · Physics and Astronomy · #Computation (stat.CO) #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Scientific Research and Discoveries #Statistics and Probability (physics.data-an)
- Extreme heatwave sampling and prediction with analog Markov chain and comparisons with deep learning
2023/07/18 by George Miloshevich, Miloshevich, George, Lucente, Dario +3 · 3 citations
Earth and Planetary Sciences · Engineering · Environmental Science · #Atmospheric and Oceanic Physics (physics.ao-ph) #Climate variability and models #Data Analysis #Energy Load and Power Forecasting #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations #Statistics and Probability (physics.data-an)
- Variational dynamics of open quantum systems in phase space
2023/07/14 by Debbie Eeltink, Filippo Vicentini, Eeltink, Debbie +3 · 3 citations
Computer Science · Physics and Astronomy · #Cold Atom Physics and Bose-Einstein Condensates #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Quantum Information and Cryptography #Quantum Physics (quant-ph) #Quantum many-body systems #Statistics and Probability (physics.data-an)
- Developing New Analysis Tools for Near Surface Radio-based Neutrino Detectors
2023/07/14 by ARIANNA Collaboration, Anker, A., Baldi, P. +22 · 1 citation
#Data Analysis #FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE) #Statistics and Probability (physics.data-an)
- Turbulent flows are not uniformly multifractal
2023/07/12 by Siddhartha Mukherjee, Mukherjee, Siddhartha, Sugan Durai Murugan +5 · 3 citations
Economics, Econometrics and Finance · Environmental Science · #Chaotic Dynamics (nlin.CD) #Climate variability and models #Complex Systems and Time Series Analysis #Data Analysis #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Hydrology and Drought Analysis #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Uncertainty quantification for the squeeze flow of generalized Newtonian fluids
2023/07/07 by Aricia Rinkens, Clemens V. Verhoosel, Rinkens, Aricia +3 · 1 citation
Chemical Engineering · Decision Sciences · #Data Analysis #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Probabilistic and Robust Engineering Design #Rheology and Fluid Dynamics Studies #Statistics and Probability (physics.data-an)
- Verifying the magnitude dependence in earthquake occurrence
2023/07/04 by Giuseppe Petrillo, Jiancang Zhuang, Petrillo, Giuseppe +1 · 1 citation
Computer Science · Earth and Planetary Sciences · #Data Analysis #Earthquake Detection and Analysis #FOS: Physical sciences #Geophysics (physics.geo-ph) #Seismology and Earthquake Studies #Statistics and Probability (physics.data-an) #earthquake and tectonic studies
- Teaching to extract spectral densities from lattice correlators to a broad audience of learning-machines
2023/07/03 by Michele Buzzicotti, Alessandro De Santis, Buzzicotti, Michele +3 · 2 citations
Computer Science · Physics and Astronomy · #Bayesian Methods and Mixture Models #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #High Energy Physics - Lattice (hep-lat) #Particle physics theoretical and experimental studies #Quantum Chromodynamics and Particle Interactions #Statistics and Probability (physics.data-an)
- Neural network analysis of neutron and X-ray reflectivity data: Incorporating prior knowledge for tackling the phase problem
2023/06/28 by Valentin Munteanu, Munteanu, Valentin, Vladimir Starostin +13 · 1 citation
Materials Science · #Data Analysis #Electron and X-Ray Spectroscopy Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Signal Processing (eess.SP) #Soft Condensed Matter (cond-mat.soft) #Statistics and Probability (physics.data-an) #X-ray Diffraction in Crystallography #electronic engineering #information engineering
- On Studies of Entropy of Classical and Quantum Kac Rings
2023/06/27 by Niamat Gill, Nishchal Dwivedi, Gill, Niamat +1 · 1 citation
Mathematics · Physics and Astronomy · #Complex Network Analysis Techniques #Data Analysis #FOS: Physical sciences #Mathematical Physics (math-ph) #Quantum Physics (quant-ph) #Statistics and Probability (physics.data-an) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics
- Development of the Topological Trigger for LHCb Run 3
2023/06/16 by Schulte, Nicole, Delaney, Blaise Raheem, Nolte, Niklas +3 · 2 citations
#Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Statistics and Probability (physics.data-an)
- b-more-incomplete and b-more positive: Insights on A Robust Estimator of Magnitude Distribution
2023/06/16 by Lippiello, Eugenio, Petrillo, Giuseppe · 4 citations
#Data Analysis #FOS: Physical sciences #Geophysics (physics.geo-ph) #Statistics and Probability (physics.data-an)
- Unraveling cradle-to-grave disease trajectories from multilayer comorbidity networks
2023/06/16 by Elma Dervić, Dervić, Elma, Johannes Sorger +13 · 1 citation
Computer Science · Health Professions · Medicine · #Chronic Disease Management Strategies #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning in Healthcare #Medical Coding and Health Information #Medical Physics (physics.med-ph) #Methodology (stat.ME) #Statistics and Probability (physics.data-an)
- Amortized Simulation-Based Frequentist Inference for Tractable and Intractable Likelihoods
2023/06/13 by Ali Al Kadhim, H. Prosper, Kadhim, Ali Al +3 · 1 citation
Computer Science · Mathematics · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistics and Probability (physics.data-an)
- Multivariate extensions of the Multilevel Best Linear Unbiased Estimator for ensemble-variational data assimilation
2023/06/12 by Destouches, Mayeul, Mycek, Paul, Gürol, Selime · 2 citations
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Methodology (stat.ME) #Statistics and Probability (physics.data-an)
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