Results 21 to 30 of about 27,364 (268)
Training and Inference of Optical Neural Networks with Noise and Low-Bits Control
Applied Sciences, 2021 Optical neural networks (ONNs) are getting more and more attention due to their advantages such as high-speed and low power consumption. However, in a non-ideal environment, the noise and low-bits control may heavily lead to a decrease in the accuracy of
Danni Zhang +9 more
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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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Zariski quantization as second quantization [PDF]
Physical Review D, 2012 18 pages, 2 ...
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Quantized Feature Distillation for Network Quantization
Proceedings of the AAAI Conference on Artificial Intelligence, 2023 Neural network quantization aims to accelerate and trim full-precision neural network models by using low bit approximations. Methods adopting the quantization aware training (QAT) paradigm have recently seen a rapid growth, but are often conceptually complicated.
Ke Zhu, Yin-Yin He, Jianxin Wu 0001
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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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Quantization Dimension via Quantization Numbers
Real Analysis Exchange, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kesseböhmer, Marc, Zhu, Sanguo
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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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Journal of Physics A: Mathematical and General, 2001 20 pages, LaTex file, Substantially revised ...
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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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Computer Vision and Image Understanding, 2011 Vector quantization(VQ) is a lossy data compression technique from signal processing, which is restricted to feature vectors and therefore inapplicable for combinatorial structures. This contribution presents a theoretical foundation of graph quantization (GQ) that extends VQ to the domain of attributed graphs.
Brijnesh J. Jain, Klaus Obermayer
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