Efficient Bayesian inversion for shape reconstruction of lithography masks
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Data Analysis papers — page 34
physics.data-anBrowse archive
Conservation Laws and Spin System Modeling through Principal Component Analysis
David YevickParametric unfolding. Method and restrictions
Nikolay GagunashviliBayesian machine scientist to compare data collapses for the Nikuradse dataset
Ignasi Reichardt, Jordi Pallares Marta Sales-Pardo, Roger GuimeraMODULO: A software for Multiscale Proper Orthogonal Decomposition of data
Davide Ninni, Miguel A. MendezCalculating permutation entropy without permutations
Alexander VidybidaLow-dimensional offshore wave input for extreme event quantification
Kenan Šehić, Henrik Bredmose, John D. Sørensen et al.Digging Into MUD With Python: mudpy, bdata, and bfit
Derek FujimotoCoping with dating errors in causality estimation
D. A. Smirnov, N. Marwan, S. F. M. Breitenbach et al.Software Challenges For HL-LHC Data Analysis
ROOT Team, Kim Albertsson Brann, Guilherme Amadio et al.Estimation of the Randomness of Continuous and Discrete Signals Using the Disentropy of the Autocorrelation
R. V. RamosDeep learning for Gaussian process tomography model selection using the ASDEX Upgrade SXR system
Francisco Matos, Jakob Svensson, Andrea Pavone et al.Wavelet-based discrimination of isolated singularities masquerading as multifractals in detrended fluctuation analyses
Paweł Oświęcimka, Stanisław Drożdż, Mattia Frasca et al.Impact of non-normal error distributions on the benchmarking and ranking of Quantum Machine Learning models
Pascal Pernot, Bing Huang, Andreas SavinUnsupervised Classification of Single-Molecule Data with Autoencoders and Transfer Learning
Anton Vladyka, Tim AlbrechtAlternative to the application of PDG scale factors
Jens Erler, Rodolfo Ferro-HernandezA generalized permutation entropy for random processes
José M. Amigó, Roberto Dale, Piergiulio TempestaOptimising HEP parameter fits via Monte Carlo weight derivative regression
Andrea ValassiA Comprehensive Monte Carlo Framework for Jet-Quenching
R. A. SoltzTransfer Learning in Automated Gamma Spectral Identification
Eric T. Moore, Johanna L. Turk, William P. Ford et al.Towards a Computer Vision Particle Flow
Francesco Armando Di Bello, Sanmay Ganguly, Eilam Gross et al.Optimal statistical inference in the presence of systematic uncertainties using neural network optimization based on binned Poisson likelihoods with nuisance parameters
Stefan Wunsch, Simon Jörger, Roger Wolf et al.Iterative Bayesian Monte Carlo for nuclear data evaluation
E. Alhassan, D. Rochman, A. Vasiliev et al.Cross-Spectrum Measurement Statistics
Antoine Baudiquez, Éric Lantz, Enrico Rubiola et al.Ghost Imaging with the Optimal Binary Sampling
Dongyue Yang, Guohua Wu, Bin Luo et al.