Predicting Spatio-Temporal Time Series Using Dimension Reduced Local States
Jonas Isensee, George Datseris, Ulrich Parlitz
Data Analysis papers — page 42
physics.data-anBrowse archive
KLTS: A rigorous method to compute the confidence intervals for the Three-Cornered Hat and for Groslambert Covariance
Éric Lantz, Claudio E. Calosso, Enrico Rubiola et al.Using the singular value decomposition to extract 2D correlation functions from scattering patterns
Philipp Bender, Dominika Zákutná, Sabrina Disch et al.USID and Pycroscopy -- Open frameworks for storing and analyzing spectroscopic and imaging data
Suhas Somnath, Chris R. Smith, Nouamane Laanait et al.A tail-regression estimator for heavy-tailed distributions of known tail indices and its application to continuum quantum Monte Carlo data
Pablo Lopez Rios, Gareth J. ConduitRepresenting ill-known parts of a numerical model using a machine learning approach
Julien Brajard, Anastase Charantonis, Jérôme SirvenCombined Neyman-Pearson Chi-square: An Improved Approximation to the Poisson-likelihood Chi-square
Xiangpan Ji, Wenqiang Gu, Xin Qian et al.readPTU: a Python Library to Analyse Time Tagged Time Resolved Data
Guillem Ballesteros, Raphael Proux, Cristian Bonato et al.Neutron lifetime splitting in beta-decay
V. V. VasilievAccurate reconstruction of EBSD datasets by a multimodal data approach using an evolutionary algorithm
Marie-Agathe Charpagne, Florian Strub, Tresa M. PollockDeep neural networks for classifying complex features in diffraction images
Julian Zimmermann, Bruno Langbehn, Riccardo Cucini et al.On the spectral properties of Feigenbaum graphs
Ryan Flanagan, Lucas Lacasa, Vincenzo NicosiaDetermination of the quark-gluon string parameters from the data on pp, pA and AA collisions at wide energy range using Bayesian Gaussian Process Optimization
Vladimir KovalenkoHow Analytic Choices Can Affect the Extraction of Electromagnetic Form Factors from Elastic Electron Scattering Cross Section Data
Scott K. Barcus, Douglas W. Higinbotham, Randall E. McClellanLearning representations of irregular particle-detector geometry with distance-weighted graph networks
Shah Rukh Qasim, Jan Kieseler, Yutaro Iiyama et al.An improved method for the estimation of the Gumbel distribution parameters
Rubén Gómez González, M. Isabel Parra, Francisco Javier Acero et al.The maximum a posteriori probability rule for atom column detection from HAADF STEM images
J. Fatermans, S. Van Aert, A. J. den DekkerSimulator-free Solution of High-Dimensional Stochastic Elliptic Partial Differential Equations using Deep Neural Networks
Sharmila Karumuri, Rohit Tripathy, Ilias Bilionis et al.Implementation of GENFIT2 as an experiment independent track-fitting framework
Tadeas Bilka, Nils Braun, Thomas Hauth et al.Latent Representations of Dynamical Systems: When Two is Better Than One
Max TegmarkThe Effect of Time Series Distance Functions on Functional Climate Networks
Leonardo N. Ferreira, Nicole C. R. Ferreira, Elbert E. N. Macau et al.Field dynamics inference for local and causal interactions
Philipp Frank, Reimar Leike, Torsten A. EnßlinEfficient description of experimental effects in amplitude analyses
Abhijit Mathad, Daniel O'Hanlon, Anton Poluektov et al.Advances of Machine Learning in Molecular Modeling and Simulation
Mojtaba Haghighatlari, Johannes HachmannOn Deriving Probabilistic Models for Adsorption Energy on Transition Metals using Multi-level Ab initio and Experimental Data
Huijie Tian, Srinivas Rangarajan