Methods › Sequential › Recurrent Neural Networks › mLSTM
Multiplicative LSTM
mLSTM
Introduced by Ben Krause et al. in Multiplicative LSTM for sequence modelling
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
A Multiplicative LSTM (mLSTM) is a recurrent neural network architecture for sequence modelling that combines the long short-term memory (LSTM) and multiplicative recurrent neural network (mRNN) architectures. The mRNN and LSTM architectures can be combined by adding connections from the mRNN’s intermediate state mₜ to each gating units in the LSTM.
Papers archive 2025-07-28
7 shown of 7, 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.
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NR4DER: Neural Re-ranking for Diversified Exercise Recommendation 1 Jun 2025 · 1 repository · arXiv:2506.06341
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MoxE: Mixture of xLSTM Experts with Entropy-Aware Routing for Efficient Language Modeling 1 May 2025 · 0 repositories · arXiv:2505.01459
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Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels 18 Mar 2025 · 1 repository · arXiv:2503.14376
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DeltaProduct: Improving State-Tracking in Linear RNNs via Householder Products 14 Feb 2025 · 1 repository · arXiv:2502.10297Syntology ran 2 of 2 samples · 0 unverified
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Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues 19 Nov 2024 · 2 repositories · arXiv:2411.12537Syntology ran 1 of 8 samples · 7 unverified · 8 pointer-only (licence)
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xLSTM: Extended Long Short-Term Memory 7 May 2024 · 5 repositories · arXiv:2405.04517Syntology ran 0 of 9 samples · 9 unverified
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Multiplicative LSTM for sequence modelling 26 Sep 2016 · 1 repository · arXiv:1609.07959
Tasks archive 2025-07-28
9 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Language Modelling | 6 |
| Language Modeling | 5 |
| Mamba | 3 |
| Density Estimation | 1 |
| GPU | 1 |
| Math | 1 |
| Mixture-of-Experts | 1 |
| Re-Ranking | 1 |
| State Space Models | 1 |
Usage over time archive 2025-07-28
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
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