| Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures | Feb 26, 2025 | Seismic Imaging | —Unverified | 0 |
| Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging | Feb 24, 2025 | GeophysicsSeismic Imaging | —Unverified | 0 |
| Advancing Geological Carbon Storage Monitoring With 3d Digital Shadow Technology | Feb 11, 2025 | Decision MakingSeismic Imaging | —Unverified | 0 |
| Enhancing Robustness Of Digital Shadow For CO2 Storage Monitoring With Augmented Rock Physics Modeling | Feb 11, 2025 | Seismic Imaging | —Unverified | 0 |
| Probabilistic Joint Recovery Method for CO_2 Plume Monitoring | Jan 30, 2025 | Seismic ImagingUncertainty Quantification | —Unverified | 0 |
| A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset | Jan 1, 2025 | GeophysicsSeismic Imaging | —Unverified | 0 |
| Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data | Jun 30, 2024 | Dimensionality ReductionSeismic Imaging | —Unverified | 0 |
| Stochastic full waveform inversion with deep generative prior for uncertainty quantification | Jun 7, 2024 | Bayesian InferenceSeismic Imaging | —Unverified | 0 |
| Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty Quantification | Jun 4, 2024 | Deep LearningProbabilistic Deep Learning | CodeCode Available | 0 |
| InvertibleNetworks.jl: A Julia package for scalable normalizing flows | Dec 20, 2023 | Density EstimationSeismic Imaging | —Unverified | 0 |
