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Geophysics
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
2025 TGRS A Self-Supervised Method for Seismic Random Noise Attenuation under Non-Pixelwise Independent Assumption
On the workflow, opportunities and challenges of developing foundation model in geophysics
MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events
Leveraging Deep Operator Networks (DeepONet) for Acoustic Full Waveform Inversion (FWI)
Synergizing Deep Learning and Full-Waveform Inversion: Bridging Data-Driven and Theory-Guided Approaches for Enhanced Seismic Imaging
Inversion of Magnetic Data using Learned Dictionaries and Scale Space
Simultaneous Automatic Picking and Manual Picking Refinement for First-Break
Physics-Driven Self-Supervised Deep Learning for Free-Surface Multiple Elimination
Operator Learning for Reconstructing Flow Fields from Sparse Measurements: an Energy Transformer Approach
A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset
Geological and Well prior assisted full waveform inversion using conditional diffusion models
DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems
A novel algorithm for the decomposition of non-stationary multidimensional and multivariate signals
2D Basement Relief Inversion using Sparse Regularization
From PINNs to PIKANs: Recent Advances in Physics-Informed Machine Learning
A Real Benchmark Swell Noise Dataset for Performing Seismic Data Denoising via Deep Learning
Inversion-DeepONet: A Novel DeepONet-Based Network with Encoder-Decoder for Full Waveform Inversion
Inferring directed spectral information flow between mixed-frequency time series
Stochastic Solutions for Simultaneous Seismic Data Denoising and Reconstruction via Score-based Generative Models
Two-Dimensional Nonstationary Filtering by Operator Scaling
Generative modeling of seismic data using score-based generative models
Transfer learning with generative models for object detection on limited datasets
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction
Absorption-Constrained Wavelet Power Spectrum Inversion for Enhancing Resolution of Nonstationary Seismic Data
Absorption-Constrained Wavelet Power Spectrum Inversion for Enhancing Resolution of Nonstationary Seismic Data
Absorption-Constrained Wavelet Power Spectrum Inversion for Robust Q Extraction From VSP Data
Rethinking materials simulations: Blending direct numerical simulations with neural operators
FaultSeg Swin-UNETR: Transformer-Based Self-Supervised Pretraining Model for Fault Recognition
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices
Learning to Decouple and Generate Seismic Random Noise via Invertible Neural Network
LSTM-Based Forecasting Model for GRACE Accelerometer Data
Attenuation of Seismic Random Noise With Unknown Distribution: A Gaussianization Framework
MyCrunchGPT: A chatGPT assisted framework for scientific machine learning
Seismic Random Noise Attenuation Based on Non-IID Pixel-Wise Gaussian Noise Modeling
Auto-Linear Phenomenon in Subsurface Imaging
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.