Results 31 to 40 of about 298,825 (343)
Zariski quantization as second quantization [PDF]
Physical Review D, 2012 18 pages, 2 ...
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The Quantization of Gravity: Quantization of the Hamilton Equations [PDF]
Universe, 2021 We quantize the Hamilton equations instead of the Hamilton condition. The resulting equation has the simple form −Δu=0 in a fiber bundle, where the Laplacian is the Laplacian of the Wheeler–DeWitt metric provided n≠4. Using then separation of variables, the solutions u can be expressed as products of temporal and spatial eigenfunctions, where the ...
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Support and Optimization of Multi-Granularity Quantization Framework for Deep Learning Compiler [PDF]
Jisuanji gongchengWith the increasing demand for the deployment of large models by major manufacturers, the accuracy of the single quantization method of deep learning compiler Tensor Virtual Machine (TVM) has decreased, and this method is no longer sufficient to satisfy ...
WEI Mingkang, LI Jianan, HAN Lin, GAO Wei, ZHAO Rongcai, WANG Hongsheng
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Weyl Quantization from geometric quantization [PDF]
AIP Conference Proceedings, 2008 A. Weinstein has conjectured a nice looking formula for a deformed product of functions on a hermitian symmetric space of non-compact type. We derive such a formula for symmetric symplectic spaces using ideas from geometric quantization and prequantization of symplectic groupoids.
P. de M. Rios +5 more
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Learning Sparse Low-Precision Neural Networks With Learnable Regularization
IEEE Access, 2020 We consider learning deep neural networks (DNNs) that consist of low-precision weights and activations for efficient inference of fixed-point operations.
Yoojin Choi +2 more
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QA-LoRA: Quantization-Aware Low-Rank Adaptation of Large Language Models [PDF]
International Conference on Learning Representations, 2023 Recently years have witnessed a rapid development of large language models (LLMs). Despite the strong ability in many language-understanding tasks, the heavy computational burden largely restricts the application of LLMs especially when one needs to ...
Yuhui Xu +8 more
semanticscholar +1 more source
Journal of Physics: Condensed Matter, 2019 Abstract A dislocation, just like a phonon, is a type of atomic lattice displacement but subject to an extra topological constraint. However, unlike the phonon which has been quantized for decades, the dislocation has long remained classical.
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Huber-energy measure quantization [PDF]
, 2022 We describe a measure quantization procedure i.e., an algorithm which finds the best approximation of a target probability law (and more generally signed finite variation measure) by a sum of $Q$ Dirac masses ($Q$ being the quantization parameter).
Turinici, Gabriel
core +1 more source
Quantized passive filtering for switched delayed neural networks
Nonlinear Analysis, 2021 The issue of quantized passive filtering for switched delayed neural networks with noise interference is studied in this paper. Both arbitrary and semi-Markov switching rules are taken into account.
Youmei Zhou +3 more
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Journal of Physics A: Mathematical and General, 2001 20 pages, LaTex file, Substantially revised ...
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