Dynst: Dynamic sparse training for resource-constrained spatio-temporal forecasting

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[PDF] arxiv.org

Slfnet: Generating semantic logic forms from natural language using semantic probability graphs

H Wu, F Xu - arxiv preprint arxiv:2403.19936, 2024 - arxiv.org
Building natural language interfaces typically uses a semantic parser to parse the user's
natural language and convert it into structured\textbf {S} emantic\textbf {L} ogic\textbf {F} …
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[PDF] ieee.org

Deep Learning-Based Methods for Lithology Classification and Identification in Remote Sensing Images

Z Zhang, M Wang, Y Qi, X Su, D Kong - IEEE Access, 2024 - ieeexplore.ieee.org
This study presents a deep learning model that integrates Vision Transformers (ViT) with
Fourier spectral filtering for remote sensing lithology classification. The model automates the …
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[PDF] arxiv.org

Causal Deciphering and Inpainting in Spatio-Temporal Dynamics via Diffusion Model

Y Duan, J Zhao, J Mao, H Wu, J Xu, S Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
Spatio-temporal (ST) prediction has garnered a De facto attention in earth sciences, such as
meteorological prediction, human mobility perception. However, the scarcity of data coupled …
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