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Showing 1–50 of 77 papers

TitleStatusHype
Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-based Generative ModelsCode1
Rethinking materials simulations: Blending direct numerical simulations with neural operatorsCode1
Learned multiphysics inversion with differentiable programming and machine learningCode1
OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Seismic Full Waveform InversionCode1
Direct Velocity Inversion of Ground Penetrating Radar Data Using GPRNetCode1
70 years of machine learning in geoscience in reviewCode1
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural NetworksCode1
Nonstationary blind deconvolution using spectral constraintsCode0
Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data CurriculumCode0
A Self-Supervised Method for Attenuating Seismic Random and Tracewise Coherent Noise under the Non-Pixelwise Independence AssumptionCode0
On the workflow, opportunities and challenges of developing foundation model in geophysics—0
MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events—0
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)—0
Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging—0
Inversion of Magnetic Data using Learned Dictionaries and Scale SpaceCode0
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break—0
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination—0
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach—0
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset—0
Geological and Well prior assisted full waveform inversion using conditional diffusion models—0
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems—0
A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals—0
Posterior Sampling for Random Noise Attenuation via Score-based Generative ModelsCode0
2D Basement Relief Inversion using Sparse Regularization—0
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning—0
A Real Benchmark Swell Noise Dataset for Performing Seismic Data Denoising via Deep Learning—0
Inversion-DeepONet: A Novel DeepONet-Based Network with Encoder-Decoder for Full Waveform Inversion—0
Inferring directed spectral information flow between mixed-frequency time seriesCode0
Two-Dimensional Nonstationary Filtering by Operator ScalingCode0
Generative modeling of seismic data using score-based generative modelsCode0
Transfer learning with generative models for object detection on limited datasets—0
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction—0
Absorption-Constrained Wavelet Power Spectrum Inversion for Enhancing Resolution of Nonstationary Seismic DataCode0
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
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition—0
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices—0
Learning to Decouple and Generate Seismic Random Noise via Invertible Neural NetworkCode0
LSTM-Based Forecasting Model for GRACE Accelerometer DataCode0
Attenuation of Seismic Random Noise With Unknown Distribution: A Gaussianization FrameworkCode0
MyCrunchGPT: A chatGPT assisted framework for scientific machine learning—0
Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise ModelingCode0
A general method for extracting the amplitude spectrum of the seismic wavelet from the seismic tracesCode0
Auto-Linear Phenomenon in Subsurface Imaging—0
Explainable Machine Learning for Hydrocarbon Prospect Risking—0
A physically-informed Deep-Learning approach for locating sources in a waveguide—0
Viskositas: Viscosity Prediction of Multicomponent Chemical SystemsCode0
Physics Embedded Machine Learning for Electromagnetic Data Imaging—0
A Frequency-Velocity CNN for Developing Near-Surface 2D Vs Images from Linear-Array, Active-Source Wavefield Measurements—0
Constrained Mass Optimal Transport—0
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