3d data processing 1dimensionality reduction 1seismic interpolation 1transfer learning 1transformer models 1
From the 1 of 3 linked papers with an AI index.
3 papers
physics.geo-ph2026
2.5D Transformer: An Efficient 3D Seismic Interpolation Method without Full 3D Training
Changxin Wei, Xintong Dong, Xinyang Wang
The paper introduces a 2.5‑dimensional Transformer that leverages 2D Transformer encoders and specialized adapters to interpolate 3D seismic data efficiently, using a two‑stage tra…
cs.LG2026
Transcending Classical Neural Network Boundaries: A Quantum-Classical Synergistic Paradigm for Seismic Data Processing
Zhengyi Yuan, Xintong Dong, Xinyang Wang +2
In recent years, a number of neural-network (NN) methods have exhibited good performance in seismic data processing, such as denoising, interpolation, and frequency-band extension.…
cs.LG2025
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion
Xinyan Wang, Rui Dai, Kaikui Liu +1
We propose the Fourier Adaptive Lite Diffusion Architecture (FALDA), a novel probabilistic framework for time series forecasting. First, we introduce the Diffusion Model for Residu…