Category

Algorithmic information theory

Related publications (4)

Lupulus: A Flexible Hardware Accelerator For Neural Networks

Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Robert Giterman, Andreas Toftegaard Kristensen

Neural networks have become indispensable for a wide range of applications, but they suffer from high computational- and memory-requirements, requiring optimizations from the algorithmic description of the network to the hardware implementation. Moreover, ...
IEEE2020

High Level Extraction of SoC Architectural Information from Generic C Algorithmic Descriptions

Marco Mattavelli, Massimo Ravasi

The complexity of nowadays, algorithms in terms of number of lines of codes and cross-relations among processing algorithms that are activated by specific input signals, goes far beyond what the designer can reasonably grasp from the “pencil & paper” analy ...
IEEE2005

Extended BIC Criterion for Model Selection

Model selection is commonly based on some variation of the BIC or minimum message length criteria, such as MML and MDL. In either case the criterion is split into two terms: one for the model (data code length/model complexity) and one for the data given t ...
IDIAP2002

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