- Systematic treatment of hypernuclear data and application to the hypertriton
2022/01/07 by Eckert, P., Achenbach, P., Fontbote, M. Aragones +26 · 1 citation
#Data Analysis #FOS: Physical sciences #Nuclear Experiment (nucl-ex) #Statistics and Probability (physics.data-an)
- Separation of Scales and a Thermodynamic Description of Feature Learning in Some CNNs
2021/12/31 by Inbar Seroussi, Seroussi, Inbar, Gadi Naveh +3 · 10 citations
Computer Science · Materials Science · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications #Statistics and Probability (physics.data-an) #Stochastic Gradient Optimization Techniques
- Uniform-in-Phase-Space Data Selection with Iterative Normalizing Flows
2021/12/28 by Hassanaly, Malik, Perry, Bruce A., Mueller, Michael E. +1 · 1 citation
#Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
- Analytical Modelling of Exoplanet Transit Specroscopy with Dimensional Analysis and Symbolic Regression
2021/12/22 by K. Matchev, Matchev, Konstantin T., Katia Matcheva +3 · 3 citations
Physics and Astronomy · #Astronomy and Astrophysical Research #Data Analysis #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Scientific Research and Discoveries #Statistics and Probability (physics.data-an) #Stellar, planetary, and galactic studies #Symbolic Computation (cs.SC)
- Hadrons, Better, Faster, Stronger
2021/12/17 by Buhmann, Erik, Diefenbacher, Sascha, Eren, Engin +7 · 6 citations
#Data Analysis #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Instrumentation and Detectors (physics.ins-det) #Statistics and Probability (physics.data-an)
- Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning
2021/12/16 by Chen, Xiaoqian, Nadiga, Balasubramanya T., Timofeyev, Ilya · 2 citations
#86-08 #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Statistics and Probability (physics.data-an)
- Machine Learning in the Search for New Fundamental Physics
2021/12/07 by Karagiorgi, Georgia, Kasieczka, Gregor, Kravitz, Scott +2 · 15 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 (stat.ML) #Statistics and Probability (physics.data-an)
- Physics-informed dynamic mode decomposition (piDMD)
2021/12/08 by Peter J. Baddoo, Benjamín Herrmann, Baddoo, Peter J. +7 · 2 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Advanced Electron Microscopy Techniques and Applications #Data Analysis #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Force Microscopy Techniques and Applications #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Statistics and Probability (physics.data-an)
- Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance
2021/11/24 by Tsan, Steven, Kansal, Raghav, Aportela, Anthony +6 · 4 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)
- On Generalized Schürmann Entropy Estimators
2021/11/18 by Grassberger, Peter · 1 citation
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Information geometry for multiparameter models: New perspectives on the origin of simplicity
2021/11/13 by Katherine N. Quinn, Quinn, Katherine N., Michael C. Abbott +7 · 10 citations
Mathematics · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Markov Chains and Monte Carlo Methods #Soft Condensed Matter (cond-mat.soft) #Statistical Mechanics (cond-mat.stat-mech) #Statistical Mechanics and Entropy #Statistics and Probability (physics.data-an) #Theoretical and Computational Physics
- Uncertainty quantification of a three-dimensional in-stent restenosis model with surrogate modelling
2021/11/11 by Dongwei Ye, Ye, Dongwei, Pavel Zun +5 · 2 citations
Medicine · #Applications (stat.AP) #Biological Physics (physics.bio-ph) #Cardiac Imaging and Diagnostics #Computational Engineering #Coronary Interventions and Diagnostics #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Finance #G.1.2 #G.3 #I.6.6 #J.3 #Machine Learning (cs.LG) #Medical Physics (physics.med-ph) #Statistics and Probability (physics.data-an) #and Science (cs.CE)
- CaloFlow II: Even Faster and Still Accurate Generation of Calorimeter Showers with Normalizing Flows
2021/10/21 by Krause, Claudius, Shih, David · 5 citations
#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)
- Bias, variance, and confidence intervals for efficiency estimators in particle physics experiments
2021/10/01 by H.-P. Dembinski, M. Schmelling, Dembinski, Hans +1 · 1 citation
Mathematics · #62P35 #Applications (stat.AP) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Astrophysical Phenomena (astro-ph.HE) #High Energy Physics - Experiment (hep-ex) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical Methods in Clinical Trials #Statistics and Probability (physics.data-an)
- Extracting stochastic dynamical systems with α-stable Lévy noise from data
2021/09/30 by Yang Li, Yubin Lu, Li, Yang +5 · 2 citations
Economics, Econometrics and Finance · Environmental Science · #Data Analysis #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Financial Risk and Volatility Modeling #Hydrology and Drought Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probability (math.PR) #Statistics and Probability (physics.data-an) #Stochastic processes and financial applications
- Towards an extended taxonomy of information dynamics via Integrated Information Decomposition
2021/09/27 by Pedro A. M. Mediano, Fernando E. Rosas, Mediano, Pedro A. M. +11 · 8 citations
Economics, Econometrics and Finance · Physics and Astronomy · #Complex Network Analysis Techniques #Complex Systems and Time Series Analysis #Data Analysis #FOS: Biological sciences #FOS: Physical sciences #Neurons and Cognition (q-bio.NC) #Statistical Mechanics and Entropy #Statistics and Probability (physics.data-an)
- Unravelling the origins of anomalous diffusion: from molecules to migrating storks
2021/09/09 by Ohad Vilk, Erez Aghion, Vilk, Ohad +23 · 7 citations
Biochemistry, Genetics and Molecular Biology · Physics and Astronomy · #Data Analysis #Diffusion and Search Dynamics #Evolution and Genetic Dynamics #FOS: Biological sciences #FOS: Physical sciences #Quantitative Methods (q-bio.QM) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an) #stochastic dynamics and bifurcation
- A deep learned nanowire segmentation model using synthetic data augmentation
2021/09/09 by Binbin Lin, Lin, Binbin, Nima Emami +9 · 2 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · #Advanced Electron Microscopy Techniques and Applications #Data Analysis #Electron and X-Ray Spectroscopy Techniques #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Machine Learning in Materials Science #Statistics and Probability (physics.data-an) #electronic engineering #information engineering
- A Convolutional Neural Network-based Approach to Field Reconstruction
2021/08/27 by Roberto Ponciroli, Ponciroli, Roberto, Andrea Rovinelli +3 · 1 citation
Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Geophysical Methods and Applications #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Seismic Imaging and Inversion Techniques #Statistics and Probability (physics.data-an)
- Uncertainty Quantification of the 4th kind; optimal posterior accuracy-uncertainty tradeoff with the minimum enclosing ball
2021/08/24 by Hamed Hamze Bajgiran, Bajgiran, Hamed Hamze, Pau Batlle Franch +13 · 1 citation
Decision Sciences · Engineering · #62C20 #62F03 #62F25 #62F35 #68T37 #Advanced Statistical Process Monitoring #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Methodology (stat.ME) #Probabilistic and Robust Engineering Design #Statistics and Probability (physics.data-an)
- Computing committors in collective variables via Mahalanobis diffusion maps
2021/08/20 by Luke M. Evans, Evans, Luke, Maria Cameron +3 · 5 citations
Mathematics · Medicine · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Mathematics #FOS: Physical sciences #Mathematical and Theoretical Epidemiology and Ecology Models #Numerical Analysis (math.NA) #Statistics and Probability (physics.data-an) #Stochastic processes and statistical mechanics #Theoretical and Computational Physics
- Drift in a Popular Metal Oxide Sensor Dataset Reveals Limitations for Gas Classification Benchmarks
2021/08/19 by Nik Dennler, Shavika Rastogi, Dennler, Nik +7 · 3 citations
Agricultural and Biological Sciences · Engineering · #Advanced Chemical Sensor Technologies #Data Analysis #FOS: Electrical engineering #FOS: Physical sciences #Gas Sensing Nanomaterials and Sensors #Insect Pheromone Research and Control #Signal Processing (eess.SP) #Statistics and Probability (physics.data-an) #electronic engineering #information engineering
- Finite-data error bounds for Koopman-based prediction and control
2021/08/16 by Feliks Nüske, Nüske, Feliks, Sebastian Peitz +7 · 17 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Data Analysis #Dynamical Systems (math.DS) #FOS: Mathematics #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks #Optimization and Control (math.OC) #Probabilistic and Robust Engineering Design #Probability (math.PR) #Statistics and Probability (physics.data-an)
- Redatuming physical systems using symmetric autoencoders
2021/08/05 by Pawan Bharadwaj, Matthew Li, Bharadwaj, Pawan +3 · 1 citation
Computer Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Geophysics (physics.geo-ph) #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Statistics and Probability (physics.data-an)
- Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders
2021/07/27 by Moreno, Eric A., Vlimant, Jean-Roch, Spiropulu, Maria +2 · 3 citations
#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) #Statistics and Probability (physics.data-an)
- Restricted Boltzmann Machine and Deep Belief Network: Tutorial and Survey
2021/07/26 by Benyamin Ghojogh, Ali Ghodsi, Ghojogh, Benyamin +5 · 1 citation
Computer Science · #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Face and Expression Recognition #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Statistics and Probability (physics.data-an)
- Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels
2021/07/24 by S. Mohammadzadeh, Mohammadzadeh, S., E. Lejeune +1 · 1 citation
Computer Science · Engineering · Materials Science · #74A40 #74B20 #74R10 #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #I.6.3 #I.6.5 #Infrastructure Maintenance and Monitoring #J.2 #Machine Learning (cs.LG) #Machine Learning in Materials Science #Software Engineering Research #Statistics and Probability (physics.data-an)
- Efficient Bayesian Sampling Using Normalizing Flows to Assist Markov Chain Monte Carlo Methods
2021/07/16 by Marylou Gabrié, Grant M. Rotskoff, Gabrié, Marylou +3 · 5 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Statistics and Probability (physics.data-an)
- Precise binding free energy calculations for multiple molecules using an optimal measurement network of pairwise differences
2021/07/10 by Li, Pengfei, Li, Zhijie, Wang, Yu +4 · 1 citation
#Biological Physics (physics.bio-ph) #Data Analysis #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Bayesian inference of Lévy walks via hidden Markov models
2021/07/08 by Seongyu Park, Samudrajit Thapa, Park, Seongyu +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #Biological Physics (physics.bio-ph) #Data Analysis #Diffusion and Search Dynamics #FOS: Biological sciences #FOS: Physical sciences #Fractional Differential Equations Solutions #Quantitative Methods (q-bio.QM) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an) #stochastic dynamics and bifurcation
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