По вашему запросу найдено документов: 388
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Compressing a convolution neural network based on quantization. The results showing the efficiency of quantization of the model while maintaining high accuracy are obtained.
Quantization and its application in signal compressionThis paper explains what quantization is. The types of quantization algorithms
Quantization of Gravitationally Bound SystemsSome of the approaches to quantization in gravity theory concerning gravitationally bound systems
Compressing a convolution neural network based on quantization. The results showing the efficiency of quantization of the model while maintaining high accuracy are obtained.
Exponential Discretization of Weights of Neural Network Connections in Pre-Trained Neural Network. Part II: Correlation MaximizationAbstract—: In this article, we develop method of linear and exponential quantization of neural
The method of secondary quantization in the strong bond approximationThe method of secondary quantization in the strong bond approximation
On quantization of polynomial momentum observablesThe paper is devoted to quantization of polynomial momentum observables in the cotangent bundle
Quantization of poisson pairs: the R-matrix approachWe suggest an approach to the quantization problem of two compatible Poisson brackets in the case
Traces of Quantized Canonical Transformations on Submanifolds and Their Applications to Sobolev Problems with Nonlocal ConditionsThe paper presents conditions under which the traces of quantized canonical transformations on a
Covariant quantizations in plane and curved spacesWe present covariant quantization rules for nonsingular finite dimensional classical theories
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