Results 11 to 20 of about 79,136 (317)

From Quantized DNNs to Quantizable DNNs [PDF]

open access: yesProceedings of the British Machine Vision Conference 2020, 2020
This paper proposes Quantizable DNNs, a special type of DNNs that can flexibly quantize its bit-width (denoted as `bit modes' thereafter) during execution without further re-training. To simultaneously optimize for all bit modes, a combinational loss of all bit modes is proposed, which enforces consistent predictions ranging from low-bit mode to 32-bit
Kunyuan Du, Ya Zhang 0002, Haibing Guan
openaire   +2 more sources

Signature quantization [PDF]

open access: yesProceedings of the National Academy of Sciences, 2003
We associate to the action of a compact Lie group G on a line bundle over a compact oriented even-dimensional manifold a virtual representation of G using a twisted version of the signature operator. We obtain analogues of various theorems in the more standard theory of geometric quantization.
Guillemin, Victor   +2 more
openaire   +5 more sources

The Quantization of Gravity: Quantization of the Hamilton Equations [PDF]

open access: yesUniverse, 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 ...
openaire   +3 more sources

Quantized Feature Distillation for Network Quantization

open access: yesProceedings 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
openaire   +2 more sources

Geometric Quantization and Foliation Reduction [PDF]

open access: yes, 2013
A standard question in the study of geometric quantization is whether symplectic reduction interacts nicely with the quantized theory, and in particular whether “quantization commutes with reduction.” Guillemin and Sternberg first proposed ...
Skerritt, Paul Michael
core   +1 more source

Weyl Quantization from geometric quantization [PDF]

open access: yesAIP 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
openaire   +2 more sources

Quantization Dimension via Quantization Numbers

open access: yesReal Analysis Exchange, 2004
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kesseböhmer, Marc, Zhu, Sanguo
openaire   +2 more sources

Half quantization [PDF]

open access: yesJournal of Physics A: Mathematical and General, 2001
20 pages, LaTex file, Substantially revised ...
openaire   +3 more sources

Rate adaptive binary erasure quantization with dual fountain codes [PDF]

open access: yes, 2008
—In this contribution, duals of fountain codes are introduced and their use for lossy source compression is investigated. It is shown both theoretically and experimentally that the source coding dual of the binary erasure channel coding problem, binary ...
Mohamed Ismail   +8 more
core   +1 more source

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