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Geophysics

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Showing 1–50 of 77 papers

TitleStatusHype
70 years of machine learning in geoscience in reviewCode1
OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform InversionCode1
Rethinking materials simulations: Blending direct numerical simulations with neural operatorsCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-based Generative ModelsCode1
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural NetworksCode1
Learned multiphysics inversion with differentiable programming and machine learningCode1
Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise ModelingCode0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
A Self-Supervised Method for Attenuating Seismic Random and Tracewise Coherent Noise under the Non-Pixelwise Independence AssumptionCode0
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data CurriculumCode0
A general method for extracting the amplitude spectrum of the seismic wavelet from the seismic tracesCode0
Inversion of Magnetic Data using Learned Dictionaries and Scale SpaceCode0
Attenuation of Seismic Random Noise With Unknown Distribution: A Gaussianization FrameworkCode0
Two-Dimensional Nonstationary Filtering by Operator ScalingCode0
Learning to Decouple and Generate Seismic Random Noise via Invertible Neural NetworkCode0
An IMAP method for inversion of medium Q factor using zero-offset VSP dataCode0
LSTM-Based Forecasting Model for GRACE Accelerometer DataCode0
Viskositas: Viscosity Prediction of Multicomponent Chemical SystemsCode0
Absorption-Constrained Wavelet Power Spectrum Inversion for Enhancing Resolution of Nonstationary Seismic DataCode0
Absorption-Constrained Wavelet Power Spectrum Inversion for Robust Q Extraction From VSP DataCode0
Nonstationary blind deconvolution using spectral constraintsCode0
Data-driven modeling of time-domain induced polarizationCode0
Generative modeling of seismic data using score-based generative modelsCode0
Absorption-Constrained Wavelet Power Spectrum Inversion for Enhancing Resolution of Nonstationary Seismic DataCode0
Posterior Sampling for Random Noise Attenuation via Score-based Generative ModelsCode0
A General Framework Combining Generative Adversarial Networks and Mixture Density Networks for Inverse Modeling in Microstructural Materials DesignCode0
Inversion-DeepONet: A Novel DeepONet-Based Network with Encoder-Decoder for Full Waveform Inversion—0
Inversion of 1D frequency- and time-domain electromagnetic data with convolutional neural networks—0
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction—0
2D Basement Relief Inversion using Sparse Regularization—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
Wavelet-Based Segmentation on the Sphere—0
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