4 papers indexed
Jinheng Liu, Wenbin Xu, L R Xie, Kun Jiang, Lei Zhu
Python code for " A Probabilistic Deep Learning Framework for Automatic Coal Mining Detection and Parametric Inversion"
Jinheng Liu, Wenbin Xu, L R Xie, Kun Jiang, Lei Zhu
Python code for " A Probabilistic Deep Learning Framework for Automatic Coal Mining Detection and Parametric Inversion"
Ao Li, Yapeng Du, Yi Xin, Lei Zhu, Le Zhang, Guangtao Zhai, et al.
Continuous diffusion models have become the dominant paradigm for photo-realistic image Super-Resolution (SR), but they typically formulate reconstruction as continuous signal-level denoising and incorporate semantic priors through external conditioning modules. This makes it les…
Xiang Hu, Xinyu Wei, Hao Gu, Minshen Zhang, Tian Liang, Huayang Li, et al.
Scaling modern large language models (LLMs) to long contexts is limited by the quadratic computation cost, and poor length extrapolation of dense attention. Chunk-wise sparse attention offers a promising alternative, but all existing methods fall short of full attention because o…