Results 291 to 300 of about 726,041 (339)

Maximizing theoretical and practical storage capacity in single-layer feedforward neural networks. [PDF]

Front Comput Neurosci
Chou ZZ, Bouteiller JC.
europepmc   +1 more source

Diffusion Tensor Imaging Reveals Altered Centrality of Pain-Related Regions in SCN9A-Associated Small Fiber Neuropathy. [PDF]

J Neuroimaging
Drenthen GS, Kool D, Far A, Upadhyay J, Linden DEJ, van Gool R, Goijen CP, Merkies ISJ, Backes WH, Faber CG, Jansen JFA, Hoeijmakers JGJ.   +11 more
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Denoising self-supervised learning for disease-gene association prediction. [PDF]

BMC Bioinformatics
Zhang Y, Xiang J, Li J.
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HFSA-Net: A 3D Object Detection Network with Structural Encoding and Attention Enhancement for LiDAR Point Clouds. [PDF]

Sensors (Basel)
Yin X, Xiao Z, Shao J, Qiu Z, Wang L.
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Sparse Blind Deconvolution Using ADMM Methods Based on Asymmetric Structured Prior for UWB Fuze. [PDF]

Sensors (Basel)
Hao S, Pan X, Liang Y, Wu K, Yang B, Huang Z.   +5 more
europepmc   +1 more source

DynamicSeq2SeqXGB for PM2.5 imputation in extremely sparse environmental monitoring networks. [PDF]

PLoS One
Safarov R, Shomanova Z, Nossenko Y, Kopishev E, Bexeitova Z, Atasoy E.   +5 more
europepmc   +1 more source

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Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time

International Conference on Machine Learning, 2023
Large language models (LLMs) with hundreds of billions of parameters have sparked a new wave of exciting AI applications. However, they are computationally expensive at inference time.
Zichang Liu, Jue Wang, Tri Dao, Tianyi Zhou, Binhang Yuan, Zhao Song, Anshumali Shrivastava, Ce Zhang, Yuandong Tian, Christopher Ré, Beidi Chen   +10 more
semanticscholar   +1 more source

When Laplacian Scale Mixture Meets Three-Layer Transform: A Parametric Tensor Sparsity for Tensor Completion

IEEE Transactions on Cybernetics, 2022
Recently, tensor sparsity modeling has achieved great success in the tensor completion (TC) problem. In real applications, the sparsity of a tensor can be rationally measured by low-rank tensor decomposition.
Jize Xue, Yongqiang Zhao, Yuanyang Bu, J. Chan, S. Kong   +4 more
semanticscholar   +1 more source