Saved in:
| Main Authors: | Bartlett, Mark S., Van Blitterswyk, Jared, Farella, Martha, Li, Jinshu, Smith, Curtis, Parolari, Anthony J., Krishnamoorthy, Lalitha, Mrad, Assaad |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2211.00636 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Integrating Newton's Laws with deep learning for enhanced physics-informed compound flood modelling
by: Radfar, Soheil, et al.
Published: (2025)
by: Radfar, Soheil, et al.
Published: (2025)
Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space
by: Smith, Michael J., et al.
Published: (2025)
by: Smith, Michael J., et al.
Published: (2025)
End-to-End Mineral Exploration with Artificial Intelligence and Ambient Noise Tomography
by: Muir, Jack, et al.
Published: (2024)
by: Muir, Jack, et al.
Published: (2024)
EarthPT: a time series foundation model for Earth Observation
by: Smith, Michael J., et al.
Published: (2023)
by: Smith, Michael J., et al.
Published: (2023)
A Framework for Modeling Liquefaction-Induced Road Disruptions After Earthquakes: Implications for Emergency Response and Access in the Cascadia Region of North America
by: Sanger, Morgan D., et al.
Published: (2026)
by: Sanger, Morgan D., et al.
Published: (2026)
Combined mechanistic and machine learning method for construction of oil reservoir permeability map consistent with well test measurements
by: Kanin, E. A., et al.
Published: (2022)
by: Kanin, E. A., et al.
Published: (2022)
2D Basement Relief Inversion using Sparse Regularization
by: Barboza, Francisco Márcio, et al.
Published: (2024)
by: Barboza, Francisco Márcio, et al.
Published: (2024)
Direct Estimation of Porosity from Seismic Data using Rock and Wave Physics Informed Neural Networks (RW-PINN)
by: Vashisth, Divakar, et al.
Published: (2022)
by: Vashisth, Divakar, et al.
Published: (2022)
Bayesian full waveform inversion with sequential surrogate model refinement
by: Meles, Giovanni Angelo, et al.
Published: (2025)
by: Meles, Giovanni Angelo, 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)
Reconstructing Historical Climate Fields With Deep Learning
by: Bochow, Nils, et al.
Published: (2023)
by: Bochow, Nils, et al.
Published: (2023)
Inspired by machine learning optimization: can gradient-based optimizers solve cycle skipping in full waveform inversion given sufficient iterations?
by: Mu, Xinru, et al.
Published: (2025)
by: Mu, Xinru, et al.
Published: (2025)
Ambient Noise Full Waveform Inversion with Neural Operators
by: Zou, Caifeng, et al.
Published: (2025)
by: Zou, Caifeng, et al.
Published: (2025)
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)
HydroDiffusion: Diffusion-Based Probabilistic Streamflow Forecasting with a State Space Backbone
by: Wang, Yihan, et al.
Published: (2025)
by: Wang, Yihan, et al.
Published: (2025)
Sensoformer: Robust Sim-to-Real Inference on Variable-Geometry Sensor Sets via Physics-Structured Randomization
by: Jia, Zhe, et al.
Published: (2026)
by: Jia, Zhe, et al.
Published: (2026)
In-context learning enables continental-scale subsurface temperature prediction from sparse local observations
by: O'Malley, Daniel, et al.
Published: (2026)
by: O'Malley, Daniel, et al.
Published: (2026)
A Critical Assessment of PINNs and Operator Learning for Geotechnical Engineering
by: Kumar, Krishna
Published: (2025)
by: Kumar, Krishna
Published: (2025)
Physical Sensitivity Kernels Can Emerge in Data-Driven Forward Models: Evidence From Surface-Wave Dispersion
by: Yu, Ziye, et al.
Published: (2026)
by: Yu, Ziye, et al.
Published: (2026)
Controllable seismic velocity synthesis using generative diffusion models
by: Wang, Fu, et al.
Published: (2024)
by: Wang, Fu, et al.
Published: (2024)
First observations of the seiche that shook the world
by: Monahan, Thomas, et al.
Published: (2024)
by: Monahan, Thomas, et al.
Published: (2024)
Physics-informed waveform inversion using pretrained wavefield neural operators
by: Huang, Xinquan, et al.
Published: (2025)
by: Huang, Xinquan, et al.
Published: (2025)
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)
Enforcing Reciprocity in Operator Learning for Seismic Wave Propagation
by: Zou, Caifeng, et al.
Published: (2026)
by: Zou, Caifeng, et al.
Published: (2026)
Machine learning enhanced data assimilation framework for multiscale carbonate rock characterization
by: Bo, Zhenkai, et al.
Published: (2026)
by: Bo, Zhenkai, et al.
Published: (2026)
Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
by: Yuan, Zhengyi, et al.
Published: (2026)
by: Yuan, Zhengyi, et al.
Published: (2026)
Function-Space Decoupled Diffusion for Forward and Inverse Modeling in Carbon Capture and Storage
by: Ju, Xin, et al.
Published: (2026)
by: Ju, Xin, 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)
Explainable AI models for predicting liquefaction-induced lateral spreading
by: Hsiao, Cheng-Hsi, et al.
Published: (2024)
by: Hsiao, Cheng-Hsi, et al.
Published: (2024)
Physics-Trained Neural Network as Inverse Problem Solver for Potential Fields: An Example of Downward Continuation between Arbitrary Surfaces
by: Sun, Jing, et al.
Published: (2025)
by: Sun, Jing, et al.
Published: (2025)
Investigating the effect of CPT in lateral spreading prediction using Explainable AI
by: Hsiao, Cheng-Hsi, et al.
Published: (2025)
by: Hsiao, Cheng-Hsi, et al.
Published: (2025)
Diffusion-based subsurface CO$_2$ multiphysics monitoring and forecasting
by: Huang, Xinquan, et al.
Published: (2024)
by: Huang, Xinquan, 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)
HEIMDALL: a grapH-based sEIsMic Detector And Locator for microseismicity
by: Bagagli, Matteo, et al.
Published: (2025)
by: Bagagli, Matteo, et al.
Published: (2025)
Physics-Informed Linear Model (PILM): Analytical Representations and Application to Crustal Strain Rate Estimation
by: Okazaki, Tomohisa
Published: (2025)
by: Okazaki, Tomohisa
Published: (2025)
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)
Approaches for enhancing extrapolability in process-based and data-driven models in hydrology
by: Shi, Haiyang
Published: (2024)
by: Shi, Haiyang
Published: (2024)
Towards Operational Streamflow Forecasting in the Limpopo River Basin using Long Short-Term Memory Networks
by: Tlhomole, James, et al.
Published: (2026)
by: Tlhomole, James, et al.
Published: (2026)
Parametric modeling of shear wave velocity profiles for the conterminous U.S
by: Sanger, Morgan D., et al.
Published: (2025)
by: Sanger, Morgan D., et al.
Published: (2025)
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)
Similar Items
-
Integrating Newton's Laws with deep learning for enhanced physics-informed compound flood modelling
by: Radfar, Soheil, et al.
Published: (2025) -
Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space
by: Smith, Michael J., et al.
Published: (2025) -
End-to-End Mineral Exploration with Artificial Intelligence and Ambient Noise Tomography
by: Muir, Jack, et al.
Published: (2024) -
EarthPT: a time series foundation model for Earth Observation
by: Smith, Michael J., et al.
Published: (2023) -
A Framework for Modeling Liquefaction-Induced Road Disruptions After Earthquakes: Implications for Emergency Response and Access in the Cascadia Region of North America
by: Sanger, Morgan D., et al.
Published: (2026)