:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	He, Liangsheng, Song, Chao, Liu, Cai
Format:	Preprint
Published:	2025
Subjects:	Geophysics
Online Access:	https://arxiv.org/abs/2504.01695
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency
by: Dong, Xintong, et al.
Published: (2025)

Robust Full Waveform Inversion with deep Hessian deblurring
by: Alfarhan, Mustafa, et al.
Published: (2024)

Dimensionality Reduction in Full‐Waveform Inversion Uncertainty Analysis
by: W. A. Mulder, et al.
Published: (2025)

Fast and Automatic Full Waveform Inversion by Dual Augmented Lagrangian
by: Aghazade, Kamal, et al.
Published: (2024)

Conditional Image Prior for Uncertainty Quantification in Full Waveform Inversion
by: Yang, Lingyun, et al.
Published: (2024)

Linearised versus Nonlinear Estimates of Uncertainty in Full Waveform Inversion
by: Zhao, Xuebin, et al.
Published: (2026)

Deep Reparameterization for Full Waveform Inversion: Architecture Benchmarking, Robust Inversion, and Multiphysics Extension
by: Liu, Feng, et al.
Published: (2025)

Ambient Noise Full Waveform Inversion with Neural Operators
by: Zou, Caifeng, et al.
Published: (2025)

Viscoelastic Multiparameter Full Waveform Inversion Using OBN Data
by: Li Han, et al.
Published: (2026)

A Multi-physics Alternating Coupled Inversion Using Gravity and Full Waveform Data in Salt Dome
by: Dong, Siyuan, et al.
Published: (2026)

Efficient Bayesian Full Waveform Inversion and Analysis of Prior Hypotheses in 3D
by: Zhao, Xuebin, et al.
Published: (2024)

Diffusion Model-Based Posterior Sampling in Full Waveform Inversion
by: Taufik, Mohammad H., et al.
Published: (2025)

Acoustic Full Waveform Inversion with Hamiltonian Monte Carlo Method
by: de Lima, Paulo D. S., et al.
Published: (2022)

A Deep Learning-based time shift objective function for Full Waveform Inversion
by: Alfarhan, Mustafa, et al.
Published: (2025)

DiffusionInv: Prior-enhanced Bayesian Full Waveform Inversion using Diffusion models
by: Li, Yuanyuan, et al.
Published: (2025)

Uncertainty-aware Frequency-domain Acoustic Full Waveform Inversion Using Gaussian Random Fields and Ensemble Kalman Inversion
by: Li, Yunduo, et al.
Published: (2025)

Full‐Waveform Inversion With a Symmetric‐Form Acoustic VTI Wave Equation
by: Gang Yao, et al.
Published: (2025)

Annealed Stein Variational Gradient Descent for Improved Uncertainty Estimation in Full-Waveform Inversion
by: Corrales, Miguel, et al.
Published: (2024)

Automatic Penalty Parameter Selection by Residual Whiteness Principle (RWP) and GCV for Full Waveform Inversion
by: Aghazade, Kamal, et al.
Published: (2025)

Accurate and Robust Full Waveform Inversion Driven by Poisson Flow Generative Model Priors
by: Han Wang, et al.
Published: (2026)

Target‐Oriented Time‐Lapse Full Waveform Inversion Using Marchenko Redatumed Data
by: Yinghe Wu, et al.
Published: (2026)

A Deep Learning‐Based Time Shift Objective Function for Full Waveform Inversion
by: Mustafa Alfarhan, et al.
Published: (2026)

Self-Reinforced Deep Priors for Reparameterized Full Waveform Inversion
by: Zou, Guangyuan, et al.
Published: (2025)

Automatic Differentiation-based Full Waveform Inversion with Flexible Workflows
by: Liu, Feng, et al.
Published: (2024)

Enhanced Geological Prediction for Tunnel Excavation Using Full Waveform Inversion Integrating Sobolev Space Regularization with a Quadratic Penalty Method
by: Li, Jiahang, et al.
Published: (2024)

Theory-guided Pseudo-spectral Full Waveform Inversion via Deep Neural Networks
by: Zerafa, Christopher, et al.
Published: (2025)

An Empirical Study of Large-Scale Data-Driven Full Waveform Inversion
by: Jin, Peng, et al.
Published: (2023)

Fast ground penetrating radar dual-parameter full waveform inversion method accelerated by hybrid compilation of CUDA kernel function and PyTorch
by: Liu, Lei, et al.
Published: (2025)

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion
by: Ghosal, Koustav, et al.
Published: (2024)

Self-Flow-Matching assisted Full Waveform Inversion
by: Huang, Xinquan, et al.
Published: (2026)

Robust Surface‐Wave Full‐Waveform Inversion Using a Sigmoid‐Modulated Instantaneous‐Phase Coherency Misfit
by: Jianhuan Liu, et al.
Published: (2026)

A Review of Modeling and Waveform Inversion for Marine Seismic Data
by: Chen, Guoxin
Published: (2026)

Weighted Lagrange Multiplier Method for Robust Source-Independent Waveform Inversion
by: Gholami, Ali, et al.
Published: (2025)

GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI
by: Li, Shiqian, et al.
Published: (2024)

Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel
by: Chen, Ruihua, et al.
Published: (2026)

Bayesian Time-Lapse Full Waveform Inversion using Hamiltonian Monte Carlo
by: de Lima, Paulo Douglas S., et al.
Published: (2023)

Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty Quantification
by: Negahdari, Vahid, et al.
Published: (2024)

3D Deep Learning Joint Inversion of Active Seismic Full Waveform and Passive Seismic Traveltime Data for Reservoir Imaging and Uncertainty Quantification
by: Evan Schankee Um, et al.
Published: (2026)

Generating Reliable Initial Velocity Models for Full-waveform Inversion with Well and Structural Constraints
by: Zhang, Qingchen, et al.
Published: (2025)

Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
by: Chen, Ruihua, et al.
Published: (2026)