- Taweret: a Python package for Bayesian model mixing
2023/10/31 by D. Liyanage, Ingles, Kevin, A. C. Semposki +4 · 1 citation
Chemistry · Computer Science · Engineering · #Computation (stat.CO) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Mass Spectrometry Techniques and Applications #Nuclear Theory (nucl-th) #Nuclear reactor physics and engineering #Statistics and Probability (physics.data-an)
- DistNet2D: Leveraging long-range temporal information for efficient segmentation and tracking
2023/10/30 by Jean Ollion, Ollion, Jean, Maliet, Martin +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #AI in cancer detection #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Data Analysis #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Image Processing Techniques and Applications #Quantitative Methods (q-bio.QM) #Statistics and Probability (physics.data-an)
- Data-driven learning of the generalized Langevin equation with state-dependent memory
2023/10/28 by Pei Qi Ge, Ge, Pei, Zhongqiang Zhang +3 · 5 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Machine Learning in Materials Science #Protein Structure and Dynamics #Spectroscopy and Quantum Chemical Studies #Statistics and Probability (physics.data-an)
- Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods
2023/10/25 by Mathias Backes, Anja Butter, Backes, Mathias +5 · 2 citations
Computer Science · #Age of Information Optimization #Data Analysis #Distributed Sensor Networks and Detection Algorithms #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #High Energy Physics - Phenomenology (hep-ph) #Statistics and Probability (physics.data-an)
- Thermostatistics, information, subjectivity, why is this association so disturbing?
2023/10/23 by D. Lairez, Lairez, D. · 2 citations
Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Statistical Mechanics and Entropy #Statistics and Probability (physics.data-an)
- Improved treatment of the T2 molecular final-states uncertainties for the KATRIN neutrino-mass measurement
2023/10/19 by S. Schneidewind, J. Schürmann, Schneidewind, S. +7 · 1 citation
Chemistry · Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Molecular Spectroscopy and Structure #Neutrino Physics Research #Radioactive Decay and Measurement Techniques #Statistics and Probability (physics.data-an)
- Can bin-wise scaling improve consistency and adaptivity of prediction uncertainty for machine learning regression ?
2023/10/18 by Pascal Pernot, Pernot, Pascal · 1 citation
Computer Science · Materials Science · #Chemical Physics (physics.chem-ph) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Materials Science #Neural Networks and Applications #Statistics and Probability (physics.data-an)
- An adaptive ensemble filter for heavy-tailed distributions: tuning-free inflation and localization
2023/10/12 by Mathieu Le Provost, Ricardo Baptista, Provost, Mathieu Le +5 · 1 citation
Computer Science · Decision Sciences · Environmental Science · #Computation (stat.CO) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Forecasting Techniques and Applications #Machine Learning (stat.ML) #Soil Geostatistics and Mapping #Statistics and Probability (physics.data-an) #Target Tracking and Data Fusion in Sensor Networks
- Are coronal loops projection effects?
2023/10/11 by V. M. Uritsky, J. A. Klimchuk, Uritsky, Vadim M. +1 · 3 citations
Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Plasma Physics (physics.plasm-ph) #Solar and Space Plasma Dynamics #Solar and Stellar Astrophysics (astro-ph.SR) #Statistics and Probability (physics.data-an) #Stellar, planetary, and galactic studies
- Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
2023/10/05 by Eslam Abdelaleem, Ilya Nemenman, Abdelaleem, Eslam +3 · 1 voice · 4 citations
Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Data Analysis #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an) #cond-mat.stat-mech #cs.IT #cs.LG #physics.data-an
- Mobility Segregation Dynamics and Residual Isolation During Pandemic Interventions
2023/10/05 by Rafiazka Millanida Hilman, Hilman, Rafiazka Millanida, Manuel García–Herranz +5 · 1 citation
Social Sciences · #Computers and Society (cs.CY) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Human Mobility and Location-Based Analysis #Physics and Society (physics.soc-ph) #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an) #Urban Transport and Accessibility #Urban, Neighborhood, and Segregation Studies
- ELUQuant: Event-Level Uncertainty Quantification in Deep Inelastic Scattering
2023/10/04 by C. Fanelli, James Giroux, Fanelli, Cristiano +1 · 1 citation
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Nuclear Experiment (nucl-ex) #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
- Wrapping and unwrapping multifractal fields
2023/10/03 by Samy Lakhal, Lakhal, Samy, Laurent Ponson +5 · 1 citation
Economics, Econometrics and Finance · #Complex Systems and Time Series Analysis #Data Analysis #FOS: Physical sciences #Mathematical Physics (math-ph) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- An Object Condensation Pipeline for Charged Particle Tracking at the High Luminosity LHC
2023/09/28 by K. Lieret, G. Dezoort, Lieret, Kilian +1 · 1 citation
Computer Science · #Data Analysis #Domain Adaptation and Few-Shot Learning #FOS: Physical sciences #High Energy Physics - Experiment (hep-ex) #Machine Learning and Algorithms #Machine Learning and Data Classification #Statistics and Probability (physics.data-an)
- Detecting quantum phase transitions in a frustrated spin chain via transfer learning of a quantum classifier algorithm
2023/09/27 by André J. Ferreira–Martins, Leandro Silva, Ferreira-Martins, André J. +11 · 2 citations
Physics and Astronomy · #Complex Network Analysis Techniques #Data Analysis #FOS: Physical sciences #Quantum Physics (quant-ph) #Quantum many-body systems #Statistics and Probability (physics.data-an) #Theoretical and Computational Physics
- Classification of skyrmionic textures and extraction of Hamiltonian parameters via machine learning
2023/09/27 by Dushuo Feng, Feng, Dushuo, Zhihao Guan +7 · 2 citations
Materials Science · Physics and Astronomy · #Data Analysis #FOS: Physical sciences #Magnetic Properties and Applications #Magnetic properties of thin films #Mesoscale and Nanoscale Physics (cond-mat.mes-hall) #Multiferroics and related materials #Statistics and Probability (physics.data-an)
- Electron Ptychography Reveals Correlated Lattice Vibrations at Atomic Resolution
2023/09/21 by Gladyshev, Anton, Haas, Benedikt, Pekin, Thomas C. +4 · 2 citations
#Atomic Physics (physics.atom-ph) #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Estimating Stable Fixed Points and Langevin Potentials for Financial Dynamics
2023/09/21 by Tobias Wand, Wand, Tobias, Timo Wiedemann +5 · 1 citation
Economics, Econometrics and Finance · #Applications (stat.AP) #Complex Systems and Time Series Analysis #Data Analysis #FOS: Computer and information sciences #FOS: Economics and business #FOS: Physical sciences #Financial Risk and Volatility Modeling #Statistical Finance (q-fin.ST) #Statistics and Probability (physics.data-an) #Stochastic processes and financial applications
- Unsupervised Learning via Network-Aware Embeddings
2023/09/19 by Anne Sophie Riis Damstrup, Sofie Tosti Madsen, Damstrup, Anne Sophie Riis +3 · 1 voice
Computer Science · Physics and Astronomy · #Advanced Clustering Algorithms Research #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #Data Analysis #Data Stream Mining Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Social and Information Networks (cs.SI) #Statistics and Probability (physics.data-an) #cs.AI #cs.LG #cs.SI #physics.data-an
- Untangling The Relationship Between Power Outage and Population Activity Recovery in Disasters
2023/09/18 by Hsu, Chia-Wei, Mostafavi, Ali · 1 citation
#Applications (stat.AP) #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Physics and Society (physics.soc-ph) #Statistics and Probability (physics.data-an)
- CaloClouds II: Ultra-Fast Geometry-Independent Highly-Granular Calorimeter Simulation
2023/09/11 by Buhmann, Erik, Gaede, Frank, Kasieczka, Gregor +4 · 8 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)
- Reaction coordinate flows for model reduction of molecular kinetics
2023/09/11 by Wu, Hao, Noé, Frank · 2 citations
#Chemical Physics (physics.chem-ph) #Data Analysis #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics and Probability (physics.data-an)
- Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
2023/09/11 by Martini, K. Michael, Nemenman, Ilya · 1 citation
#Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Statistical Mechanics (cond-mat.stat-mech) #Statistics and Probability (physics.data-an)
- Fairness- and uncertainty-aware data generation for data-driven design
2023/09/11 by Jiarui Xie, Xie, Jiarui, Chonghui Zhang +5 · 1 citation
Engineering · #BIM and Construction Integration #Computational Engineering #Data Analysis #Design Education and Practice #FOS: Computer and information sciences #FOS: Physical sciences #Finance #Manufacturing Process and Optimization #Statistics and Probability (physics.data-an) #and Science (cs.CE)
- Ambiguity, Invisibility, and Negativity
2023/09/09 by Frank Wilczek, Wilczek, Frank · 1 citation
Physics and Astronomy · #Classical Physics (physics.class-ph) #Data Analysis #Experimental and Theoretical Physics Studies #FOS: Physical sciences #Mechanical and Optical Resonators #Quantum Physics (quant-ph) #Statistics and Probability (physics.data-an)
- Introducing Thermodynamics-Informed Symbolic Regression -- A Tool for Thermodynamic Equations of State Development
2023/09/06 by Viktor Martinek, Ophelia Frotscher, Martinek, Viktor +5 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Computational Drug Discovery Methods #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Protein Structure and Dynamics #Statistics and Probability (physics.data-an)
- Cooling of a granular gas mixture in microgravity
2023/09/05 by Dmitry Puzyrev, Torsten Trittel, Puzyrev, Dmitry +5 · 2 citations
Engineering · Physics and Astronomy · #37M05 #82D03 #Computational Physics (physics.comp-ph) #Data Analysis #FOS: Physical sciences #Granular flow and fluidized beds #I.2.10 #Particle Dynamics in Fluid Flows #Planetary Science and Exploration #Soft Condensed Matter (cond-mat.soft) #Statistics and Probability (physics.data-an)
- Physics-Informed Polynomial Chaos Expansions
2023/09/04 by Lukăš Novák, Himanshu Sharma, Novák, Lukáš +3 · 6 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Statistics and Probability (physics.data-an)
- Fully Non-Linear Neuromorphic Computing with Linear Wave Scattering
2023/08/30 by Clara C. Wanjura, Florian Marquardt, Wanjura, Clara C. +1 · 15 citations
Computer Science · Engineering · #Advanced Memory and Neural Computing #Data Analysis #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Physical sciences #Neural Networks and Reservoir Computing #Optics (physics.optics) #Photonic and Optical Devices #Statistics and Probability (physics.data-an)
- 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)
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