Research map / Architectures and efficiency / RNNs and normalization
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Unitary Evolution Recurrent Neural Networks (ICML 2016 · similarity 0.91)
- Improved memory in recurrent neural networks with sequential non-normal dynamics (ICLR 2020 · similarity 0.90)
- Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics (NeurIPS 2019 · similarity 0.90)
- Recurrent neural networks: vanishing and exploding gradients are not the end of the story (NeurIPS 2024 · similarity 0.88)
- Learning Useful Representations of Recurrent Neural Network Weight Matrices (ICML 2024 · similarity 0.87)
- Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues (ICLR 2025 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
