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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…