End-to-end deep learning inference with CMSSW via ONNX using docker
Purva Chaudhari, Shravan Chaudhari, Ruchi Chudasama et al.
Data Analysis papers — page 14
physics.data-anBrowse archive
Thermodynamically rational decision making under uncertainty
Dorian Daimer, Susanne StillUntangling The Relationship Between Power Outage and Population Activity Recovery in Disasters
Chia-Wei Hsu, Ali MostafaviUsing Monte Carlo Tree Search to Calculate Mutual Information in High Dimensions
Nick Carrara, Jesse ErnstInformation Flow as an Emergent Property of Divergence in Phase-Space
Praveen KumarImproved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
Joosep Pata, Eric Wulff, Farouk Mokhtar et al.The dotTHz Project: A Standard Data Format for Terahertz Time-Domain Data and Elementary Data Processing Tools
Jongmin Lee, Chi Ki Leung, Mingrui Ma et al.An adaptive Bayesian approach to gradient-free global optimization
Jianneng Yu, Alexandre V. MorozovBayesian questions with frequentist answers
Alan H. Guth, Mohammad Hossein NamjooConvexity constraints on linear background models for electron energy-loss spectra
Wouter Van den Broek, Daen Jannis, Jo VerbeeckA method of maximum likelihood fit to data with non-uniform efficiencies
Chenxu Yu, Yanxi ZhangProbabilistic Mixture Model-Based Spectral Unmixing
Oliver Hoidn, Aashwin Mishra, Apurva MehtaEfficient set-theoretic algorithms for computing high-order Forman-Ricci curvature on abstract simplicial complexes
Danillo Barros de Souza, Jonatas T. S. da Cunha, Fernando A. N. Santos et al.Self-consistent autocorrelation for finite-area bias correction in roughness measurement
David NečasKinFit -- A Kinematic Fitting Package for Hadron Physics Experiments
Waleed Esmail, Jana Rieger, Jenny Taylor et al.Robust reconstruction of sparse network dynamics
Tiago Pereira, Edmilson Roque dos Santos, Sebastian van StrienBounds on the rates of statistical divergences and mutual information via stochastic thermodynamics
Jan KarbowskiUnsupervised Learning of Part Similarity for Goal-Guided Accelerated Experiment Design in Metal Additive Manufacturing
Rui Liu, Sen Liu, Xiaoli ZhangBeam Detection Based on Machine Learning Algorithms
Haoyuan Li, Qing YinSorting ECGs by lag irreversibility
Nazul Merino Negrete, Cesar Maldonado, Raúl Salgado-GarcíaInformation temperature as a parameter of random sequence complexity
O. V. Usatenko, G. M. PritulaStatistical characterization of residual noise in the low-rank approximation filter framework, general theory and application to hyperpolarized tracer spectroscopy
R. Francischello, M. F. Santarelli, A. Flori et al.A statistical learning framework for mapping indirect measurements of ergodic systems to emergent properties
Nicholas Hindley, Stephen J. DeVience, Ella Zhang et al.Renormalization Group-Motivated Learning
Jonathan Landy, Tsvi Tlusty, YeongKyu Lee et al.Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations
Connor Duffin, Paul Branson, Matt Rayson et al.