Research paper / RESOURCE PROFILE

TRETS 2018

Publication: FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. Published Sep 12, 2018.

arxiv.orgPublished Sep 12, 2018
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Overview

Publication: FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks. Published Sep 12, 2018.

Publication information

Publication title
FINN-R: An End-to-End Deep-Learning Framework for Fast Exploration of Quantized Neural Networks
Authors
Michaela Blott, Thomas Preusser, Nicholas Fraser, Giulio Gambardella, Kenneth O'Brien, Yaman Umuroglu
Published
Sep 12, 2018
Last publication revision
Sep 12, 2018
Subject areas
cs.AR
Publication source
arxiv.org · abs/1809.04570v1 ↗

Source: arXiv API · observed Oct 11, 2026.

Source links & provenance

https://arxiv.org/abs/1809.04570 ↗

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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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