AdoptODE: Fusion of data and expert knowledge for modeling dynamical systems
Leon Lettermann, Alejandro Jurado, Timo Betz et al.
Data Analysis papers — page 16
physics.data-anBrowse archive
Inferring Local Structure from Pairwise Correlations
Mahajabin Rahman, Ilya NemenmanAnalysing the Grain size and asymmetry of the particle distribution using auto-correlation technique
Vanitha Patnala, Salla Gangi Reddy, Shashi Prabhakar et al.Inferential Moments of Uncertain Multivariable Systems
Kevin VansletteRecent advances in the SISSO method and their implementation in the SISSO++ code
Thomas A. R. Purcell, Matthias Scheffler, Luca M. GhiringhelliA universal model for the Lorenz curve with novel applications for datasets containing zeros and/or exhibiting extreme inequality
Thitithep Sitthiyot, Kanyarat HolasutHigher-order asymptotic corrections and their application to the Gamma Variance Model
Enzo Canonero, Alessandra Rosalba Brazzale, Glen CowanIntroducing the Single-Atom Real-Space Global Minimization Method for Solving Small Structures in Single Crystal X-ray Crystallography
Xiaodong ZhangMultifidelity uncertainty quantification with models based on dissimilar parameters
Xiaoshu Zeng, Gianluca Geraci, Michael S. Eldred et al.Apparent universality of 1/f spectra as an artifact of finite-size effects
M. A. Korzeniowska, A. Theodorsen, M. Rypdal et al.Using various machine learning algorithms for quantitative analysis in Laser induced breakdown spectroscopy
Mohsen Rezaei, Fatemeh Rezaei, Parvin KarimiDynamics-Based Intrinsic Signal Model for High-Dimensional, Small-Sample Data
Yoh-ichi Mototake, Y-h. TaguchiUnveiling Pseudo-Crucial Events in Noise-Induced Phase Transitions
Jacob D. Baxley, David R. Lambert, Mauro Bologna et al.De-novo Identification of Small Molecules from Their GC-EI-MS Spectra
Adam Hájek, Michal Starý, Filip Jozefov et al.Clustering and visualization tools to study high dimensional parameter spaces: B anomalies example
Ursula Laa, German ValenciaProgress towards an improved particle flow algorithm at CMS with machine learning
Farouk Mokhtar, Joosep Pata, Javier Duarte et al.Principal Geodesic Analysis applied to climate time series
Nozomi SugiuraModule-based regularization improves Gaussian graphical models when observing noisy data
Magnus Neuman, Joaquín Calatayud, Viktor Tasselius et al.Enhancing Graph Topology and Clustering Quality: A Modularity-Guided Approach
Yongyu Wang, Shiqi Hao, Xiaoyang Wang et al.Multivariate Joint Recurrence Quantification Analysis: detecting coupling between time series of different dimensionalities
Sebastian Wallot, Dan MønsterHyperparameter optimization, quantum-assisted model performance prediction, and benchmarking of AI-based High Energy Physics workloads using HPC
Eric Wulff, Maria Girone, David Southwick et al.Multiscale Relevance of Natural Images
Samy Lakhal, Alexandre Darmon, Iacopo Mastromatteo et al.Limit setting using spacings in the presence of unknown backgrounds
Lolian Shtembari, Allen CaldwellSuppression of accidental backgrounds with deep neural networks in the PandaX-II experiment
Nasir Shaheed, Xun Chen, Meng WangContinuous-Time Modeling and Analysis of Particle Beam Metrology
Akshay Agarwal, Minxu Peng, Vivek K. Goyal