Imagen de Portada

Data Conditioning for Subsurface Models with Single-Image Generative Adversarial Network (SinGAN)

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Liu, Lei, Maldonado-Cruz, Eduardo, Jo, Honggeun, Prodanović, Maša, Pyrcz, Michael J.
Formato:	Preprint
Publicado:	2024
Materias:	Applications
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Generative Adversarial Networks Applied to Synthetic Financial Scenarios Generation
por: Rizzato, Matteo, et al.
Publicado: (2022)

Improving Insurance Catastrophic Data with Resampling and GAN Methods
por: Dzadz, Norbert, et al.
Publicado: (2024)

Flow Battery Manifold Design with Heterogeneous Inputs Through Generative Adversarial Neural Networks
por: Seng, Eric, et al.
Publicado: (2025)

Bayesian Inference General Procedures for A Single-subject Test Study
por: Li, Jie, et al.
Publicado: (2024)

A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
por: Fazeli-Asl, Forough, et al.
Publicado: (2023)

A Novel Class of Unfolding Models for Binary Preference Data
por: Lei, Rayleigh, et al.
Publicado: (2023)

Aquatic Insect Emergence From Benthic and Subsurface Zones via Diverse Riverscape Features in a Gravel‐Bed River
por: Shanmu Liu, et al.
Publicado: (2025)

Gradient-Boosted Generalized Linear Models for Conditional Vine Copulas
por: Jobst, David, et al.
Publicado: (2024)

A Single Index Approach to Integrated Species Distribution Modeling for Fisheries Abundance Data
por: Vu, Quan, et al.
Publicado: (2025)

Dynamic Factor Models for Binary Data in Circular Spaces: An Application to the U.S. Supreme Court
por: Lei, Rayleigh, et al.
Publicado: (2023)

A dimension reduction approach to edge weight estimation for use in spatial models
por: Christensen, Michael F., et al.
Publicado: (2024)

Probabilistic Modelling of Multiple Long-Term Condition Onset Times
por: Richards, Kieran, et al.
Publicado: (2024)

Neural Network-based Partial-Linear Single-Index Models for Environmental Mixtures Analysis
por: Do, Hyungrok, et al.
Publicado: (2025)

Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm
por: Luo, Nanyu, et al.
Publicado: (2025)

Learned Image Compression with Dual-Branch Encoder and Conditional Information Coding
por: Fu, Haisheng, et al.
Publicado: (2024)

Heritable Genetic Effects Caused by a Single Generation of Captive Breeding
por: Mark R. Christie, et al.
Publicado: (2026)

Bayesian Multivariate Track Geometry Degradation Modelling and its use in Condition-Based Inspection
por: Truong-Ba, Huy, et al.
Publicado: (2023)

Adaptive Projected Two-Sample Comparisons for Single-Cell Gene Expression Data
por: Zhang, Tianyu, et al.
Publicado: (2024)

Causal Networks of Infodemiological Data: Modelling Dermatitis
por: Scutari, Marco, et al.
Publicado: (2025)

A Continuous-Time Stochastic Process for High-Resolution Network Data in Sports
por: Grieshop, Nicholas, et al.
Publicado: (2023)

Quasi-Maximum Likelihood Estimation for a Genuinely Unbalanced Dynamic Network Panel Data Model
por: Wang, Zhijian, et al.
Publicado: (2025)

Bayesian Profile Regression using Variational Inference to Identify Clusters of Multiple Long-Term Conditions Conditioning on Mortality in Population-Scale Data
por: Rafferty, James, et al.
Publicado: (2026)

Data Space Inversion for Efficient Predictions and Uncertainty Quantification for Geothermal Models
por: de Beer, Alex, et al.
Publicado: (2024)

WISE: full-Waveform variational Inference via Subsurface Extensions
por: Yin, Ziyi, et al.
Publicado: (2023)

Bayesian Sparsity Modeling of Shared Neural Response in Functional Magnetic Resonance Imaging Data
por: Wadsworth, Spencer, et al.
Publicado: (2026)

Conditional pathways-based climate attribution
por: Wentland, Christopher R., et al.
Publicado: (2024)

Matrix-Response Generalized Linear Mixed Model with Applications to Longitudinal Brain Images
por: Yu, Zhentao, et al.
Publicado: (2026)

Photon-Efficient Computational 3D and Reflectivity Imaging with Single-Photon Detectors
por: Shin, Dongeek, et al.
Publicado: (2014)

Monitoring of Drift Patterns in Image Data
por: Basak, Subhasish, et al.
Publicado: (2025)

A Spatio-Temporal Dirichlet Process Mixture Model on Linear Networks for Crime Data
por: Lee, Sujeong, et al.
Publicado: (2025)

Machine Learning for Network Attacks Classification and Statistical Evaluation of Adversarial Learning Methodologies for Synthetic Data Generation
por: Zarkadis, Iakovos-Christos, et al.
Publicado: (2026)

A Comparative Evaluation of a Conditional Median-Based Bayesian Growth Curve Modeling Approach with Missing Data
por: Tang, Dandan, et al.
Publicado: (2025)

Statistical Analysis of Quantitative Cancer Imaging Data
por: Mohammed, Shariq, et al.
Publicado: (2024)

Analyzing Generalized Pólya Urn Models using Martingales, with an Application to Viral Evolution
por: Specht, Ivan, et al.
Publicado: (2023)

Visually Evaluating Generative Adversarial Networks Using Itself under Multivariate Time Series
por: Pan, Qilong
Publicado: (2022)

An Interpretable Single-Index Mixed-Effects Model for Non-Gaussian National Survey Data
por: Liu, Qingyang, et al.
Publicado: (2025)

Survival Analysis with Adversarial Regularization
por: Potter, Michael, et al.
Publicado: (2023)

Applying Color Appearance Model CAM16‐UCS in Image Processing Under HDR Viewing Conditions
por: Xinye Shi, et al.
Publicado: (2025)

Integrative Predictor-Dependent Learning of Network Data and Spatially Correlated Nodal Attributes for Multimodal Brain Imaging in Aging
por: Rodriguez-Acosta, Jose, et al.
Publicado: (2026)

Composite Dyadic Models for Spatio-Temporal Data
por: Schwob, Michael R, et al.
Publicado: (2023)