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FPGA 2017

Publication: FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. Published Dec 1, 2016.

Research & Papers
arxiv.orgPublished Dec 1, 2016
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Overview

Publication: FINN: A Framework for Fast, Scalable Binarized Neural Network Inference. Published Dec 1, 2016.

Publication information

Publication title
FINN: A Framework for Fast, Scalable Binarized Neural Network Inference
Authors
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers
Published
Dec 1, 2016
Last publication revision
Dec 1, 2016
Subject areas
cs.CV, cs.AR, cs.LG
DOI
10.1145/3020078.3021744 ↗
Publication source
arxiv.org · abs/1612.07119v1 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/1612.07119 ↗

Discovery references

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Screenshot unavailableResource information and source links remain available. DeepIntoStreams/TSFM_Finance — reviewed source website screenshot
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DeepIntoStreams/TSFM_Finance

github.com

the official implementation of the paper “Re(visiting) Time Series Foundation Models in Finance”.

GitHub stars
31
Language
Jupyter Notebook
Code license
Apache-2.0
foundation-modeltime-seriesresearch-lab
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