Initial Model Incorporation for Deep Learning FWI: Pretraining or Denormalization?
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Ruihua, Wu, Bangyu, Li, Meng, Yang, Kai |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
by: Chen, Ruihua, et al.
Published: (2026)
by: Chen, Ruihua, et al.
Published: (2026)
PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency
by: Dong, Xintong, et al.
Published: (2025)
by: Dong, Xintong, et al.
Published: (2025)
Diffusion prior as a direct regularization term for FWI
by: Xie, Yuke, et al.
Published: (2025)
by: Xie, Yuke, et al.
Published: (2025)
Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel
by: Chen, Ruihua, et al.
Published: (2026)
by: Chen, Ruihua, et al.
Published: (2026)
GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI
by: Li, Shiqian, et al.
Published: (2024)
by: Li, Shiqian, et al.
Published: (2024)
Learning Generative Models for Lumped Rainfall-Runoff Modeling
by: Yang, Yang, et al.
Published: (2023)
by: Yang, Yang, et al.
Published: (2023)
Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting
by: Jafari, Alireza, et al.
Published: (2024)
by: Jafari, Alireza, et al.
Published: (2024)
Real-Time Earthquake Magnitude Classification from Initial P-Waves: Models, Dataset, and Comparative Analysis for South Asia
by: Fahim, Md Nasiat Hasan, et al.
Published: (2026)
by: Fahim, Md Nasiat Hasan, et al.
Published: (2026)
Fine Flood Forecasts: Incorporating local data into global models through fine-tuning
by: Ryd, Emil, et al.
Published: (2025)
by: Ryd, Emil, et al.
Published: (2025)
Reconstructing Historical Climate Fields With Deep Learning
by: Bochow, Nils, et al.
Published: (2023)
by: Bochow, Nils, et al.
Published: (2023)
Operator Learning for Consolidation: An Architectural Comparison for DeepONet Variants
by: Choi, Yongjin, et al.
Published: (2025)
by: Choi, Yongjin, et al.
Published: (2025)
Deep Learning Forecasts Caldera Collapse Events at Kilauea Volcano
by: McBrearty, Ian W., et al.
Published: (2024)
by: McBrearty, Ian W., et al.
Published: (2024)
Multimodal Atmospheric Super-Resolution With Deep Generative Models
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)
by: Chakraborty, Dibyajyoti, et al.
Published: (2025)
Uncertainties of Satellite-based Essential Climate Variables from Deep Learning
by: Gou, Junyang, et al.
Published: (2024)
by: Gou, Junyang, et al.
Published: (2024)
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
by: Sun, Jing, et al.
Published: (2025)
by: Sun, Jing, et al.
Published: (2025)
Deep Learning-Driven Downscaling for Climate Risk Assessment of Projected Temperature Extremes in the Nordic Region
by: Loganathan, Parthiban, et al.
Published: (2025)
by: Loganathan, Parthiban, et al.
Published: (2025)
Re‐visible blind block network: An unsupervised seismic data random noise attenuation method
by: Jing Wang, et al.
Published: (2024)
by: Jing Wang, et al.
Published: (2024)
WaveCastNet: Rapid Wavefield Forecasting for Earthquake Early Warning via Deep Sequence to Sequence Learning
by: Lyu, Dongwei, et al.
Published: (2024)
by: Lyu, Dongwei, et al.
Published: (2024)
Deep Learning Framework for History Matching CO2 Storage with 4D Seismic and Monitoring Well Data
by: Wang, Nanzhe, et al.
Published: (2024)
by: Wang, Nanzhe, et al.
Published: (2024)
Physics-Informed Neural Networks for Predicting Hydrogen Sorption in Geological Formations: Thermodynamically Constrained Deep Learning Integrating Classical Adsorption Theory
by: Nooraiepour, Mohammad, et al.
Published: (2026)
by: Nooraiepour, Mohammad, et al.
Published: (2026)
Seismic Traveltime Tomography with Label-free Learning
by: Wang, Feng, et al.
Published: (2024)
by: Wang, Feng, et al.
Published: (2024)
Deep operator network for surrogate modeling of poroelasticity with random permeability fields
by: Park, Sangjoon, et al.
Published: (2025)
by: Park, Sangjoon, et al.
Published: (2025)
RECOVAR: Representation Covariances on Deep Latent Spaces for Seismic Event Detection
by: Efe, Onur, et al.
Published: (2024)
by: Efe, Onur, et al.
Published: (2024)
HydroAgent: Closing the Gap Between Frontier LLMs and Human Experts in Hydrologic Model Calibration via Simulator-Grounded RL
by: Li, Zhi, et al.
Published: (2026)
by: Li, Zhi, et al.
Published: (2026)
SeisRDT: Latent Diffusion Model Based On Representation Learning For Seismic Data Interpolation And Reconstruction
by: Wang, Shuang, et al.
Published: (2025)
by: Wang, Shuang, et al.
Published: (2025)
Extrapolability Improvement of Machine Learning-Based Evapotranspiration Models via Domain-Adversarial Neural Networks
by: Shi, Haiyang
Published: (2024)
by: Shi, Haiyang
Published: (2024)
3-D Magnetotelluric Deep Learning Inversion Guided by Pseudo-Physical Information
by: Jiang, Peifan, et al.
Published: (2024)
by: Jiang, Peifan, et al.
Published: (2024)
Generative Latent Diffusion Model for Inverse Modeling and Uncertainty Analysis in Geological Carbon Sequestration
by: Feng, Zhao, et al.
Published: (2025)
by: Feng, Zhao, et al.
Published: (2025)
Deep learning enhanced initial model prediction in elastic FWI: application to marine streamer data
by: Plotnitskii, Pavel, et al.
Published: (2025)
by: Plotnitskii, Pavel, et al.
Published: (2025)
Data-driven solar forecasting enables near-optimal economic decisions
by: Dai, Zhixiang, et al.
Published: (2025)
by: Dai, Zhixiang, et al.
Published: (2025)
Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem
by: Zhang, Qi, et al.
Published: (2020)
by: Zhang, Qi, et al.
Published: (2020)
Data-Driven and Theory-Guided Pseudo-Spectral Seismic Imaging Using Deep Neural Network Architectures
by: Zerafa, Christopher
Published: (2025)
by: Zerafa, Christopher
Published: (2025)
EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling
by: Wang, Feng, et al.
Published: (2025)
by: Wang, Feng, et al.
Published: (2025)
Discovery and inversion of the viscoelastic wave equation in inhomogeneous media
by: Chen, Su, et al.
Published: (2024)
by: Chen, Su, et al.
Published: (2024)
A foundation model enpowered by a multi-modal prompt engine for universal seismic geobody interpretation across surveys
by: Gao, Hang, et al.
Published: (2024)
by: Gao, Hang, et al.
Published: (2024)
Feature-based Inversion of 2.5D Controlled Source Electromagnetic Data using Generative Priors
by: Zhou, Hongyu, et al.
Published: (2026)
by: Zhou, Hongyu, et al.
Published: (2026)
Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
by: Zou, Caifeng, et al.
Published: (2026)
by: Zou, Caifeng, et al.
Published: (2026)
Bayesian geoacoustic inversion using mixture density network
by: Wu, Guoli, et al.
Published: (2020)
by: Wu, Guoli, et al.
Published: (2020)
SeisT: A foundational deep learning model for earthquake monitoring tasks
by: Li, Sen, et al.
Published: (2023)
by: Li, Sen, et al.
Published: (2023)
A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering
by: Kumar, Krishna
Published: (2025)
by: Kumar, Krishna
Published: (2025)
Similar Items
-
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework
by: Chen, Ruihua, et al.
Published: (2026) -
PreAdaptFWI: Pretrained-Based Adaptive Residual Learning for Full-Waveform Inversion Without Dataset Dependency
by: Dong, Xintong, et al.
Published: (2025) -
Diffusion prior as a direct regularization term for FWI
by: Xie, Yuke, et al.
Published: (2025) -
Deciphering Neural Reparameterized Full-Waveform Inversion with Neural Sensitivity Kernel and Wave Tangent Kernel
by: Chen, Ruihua, et al.
Published: (2026) -
GlobalTomo: A global dataset for physics-ML seismic wavefield modeling and FWI
by: Li, Shiqian, et al.
Published: (2024)