Methods › Sequential › Recurrent Neural Networks › LMU

Legendre Memory Unit

LMU

9 papers tagged archive 2025-07-28

Introduced by Aaron Voelker et al. in Legendre Memory Units: Continuous-Time Representation in Recurrent Neural Networks

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The Legendre Memory Unit (LMU) is mathematically derived to orthogonalize its continuous-time history – doing so by solving d coupled ordinary differential equations (ODEs), whose phase space linearly maps onto sliding windows of time via the Legendre polynomials up to degree d-1. It is optimal for compressing temporal information.

See paper for equations (markdown isn't working).

Official github repo: https://github.com/abr/lmu

PaperSource

Papers archive 2025-07-28

9 shown of 9, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 24 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Image Classification2
Machine Translation2
Sentiment Analysis2
Sequential Image Classification2
Translation2
image-classification2
Activity Recognition1
Benchmarking1
Fraud Detection1
Human Activity Recognition1
Image Generation1
Image Registration1
Natural Language Inference1
QQP1
Semantic Similarity1
Semantic Textual Similarity1
Sentiment Classification1
Speech Recognition1
Text Generation1
Time Series1

Usage over time archive 2025-07-28

Papers per year tagged with LMU: 2019 to 2025, peak 2 2 0 2019: 1 paper 2019 2020: 1 paper 2020 2021: 2 papers 2021 2022: 2 papers 2022 2023: 0 papers 2023 2024: 2 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (9 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Recurrent Neural Networks

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