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Showing 51–75 of 77 papers

TitleStatusHype
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)—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
A Real Benchmark Swell Noise Dataset for Performing Seismic Data Denoising via Deep Learning—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
Geological and Well prior assisted full waveform inversion using conditional diffusion models—0
High-Contrast Reflection Tomography with Total-Variation Constraints—0
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