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Software . 2023
License: https://opensource.org/licenses/MIT
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Software . 2023
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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TensorInference: A Julia package for tensor-based probabilistic inference

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Oct 2023 English Publisher:Zenodo
Authors: Martin Roa-Villescas; Jin-Guo Liu (刘金国);

doi: 10.5281/zenodo.8399580

TensorInference: A Julia package for tensor-based probabilistic inference

Abstract

TensorInference v0.4.1 Diff since v0.4.0

Related Organizations
Keywords

Bayesian networks, probabilistic graphical models, probabilistic inference, differentiable programming, tensor networks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
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14
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