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Showing 1–50 of 77 papers

TitleStatusHype
Learned multiphysics inversion with differentiable programming and machine learningCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural NetworksCode1
Rethinking materials simulations: Blending direct numerical simulations with neural operatorsCode1
70 years of machine learning in geoscience in reviewCode1
Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-based Generative ModelsCode1
OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform InversionCode1
A Real Benchmark Swell Noise Dataset for Performing Seismic Data Denoising via Deep Learning—0
Wavelet-Based Segmentation on the Sphere—0
A Deep Convolutional Network for Seismic Shot-Gather Image Quality Classification—0
A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements—0
An Intriguing Property of Geophysics Inversion—0
A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals—0
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset—0
A physically-informed Deep-Learning approach for locating sources in a waveguide—0
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)—0
MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events—0
Multi-scale Graphical Models for Spatio-Temporal Processes—0
On the suitability of generalized regression neural networks for GNSS position time series prediction for geodetic applications in geodesy and geophysics—0
On the workflow, opportunities and challenges of developing foundation model in geophysics—0
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach—0
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination—0
Physics Embedded Machine Learning for Electromagnetic Data Imaging—0
Precision annealing Monte Carlo methods for statistical data assimilation and machine learning—0
Auto-Linear Phenomenon in Subsurface Imaging—0
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break—0
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors—0
Sparse Recovery Beyond Compressed Sensing: Separable Nonlinear Inverse Problems—0
Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging—0
Target Tracking with Electrical Impedance Tomography—0
Transfer learning with generative models for object detection on limited datasets—0
Uncovering the evolution of non-stationary stochastic variables: the example of asset volume-price fluctuations—0
Universal features of mountain ridge networks on Earth—0
Unsupervised Learning of Full-Waveform Inversion: Connecting CNN and Partial Differential Equation in a Loop—0
2D Basement Relief Inversion using Sparse Regularization—0
A Survey on Mathematical Aspects of Machine Learning in GeoPhysics: The Cases of Weather Forecast, Wind Energy, Wave Energy, Oil and Gas Exploration—0
Constrained Mass Optimal Transport—0
MyCrunchGPT: A chatGPT assisted framework for scientific machine learning—0
Data-driven geophysics: from dictionary learning to deep learning—0
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems—0
Determinantal Point Processes Implicitly Regularize Semi-parametric Regression Problems—0
Distributed filtered hyperinterpolation for noisy data on the sphere—0
Distributed Learning via Filtered Hyperinterpolation on Manifolds—0
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices—0
Enhanced Seismic Imaging with Predictive Neural Networks for Geophysics—0
Explainable Machine Learning for Hydrocarbon Prospect Risking—0
Extremely Weak Supervision Inversion of Multi-physical Properties—0
Fast ABC with joint generative modelling and subset simulation—0
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition—0
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning—0
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