Recurrent Neural Networks

Also known as RNN

Overview

Recurrent neural networks study how a model can process ordered inputs by repeatedly updating an internal state, which is useful for streaming data, long-term memory, and decisions under partial observability. Common approaches include gated LSTMs and GRUs, linear and state-space recurrences, continuous-time and spiking networks, and weight-shared loops for iterative reasoning; training ranges from backpropagation through time to online learning and parallel scans. Researchers test these models on state-tracking and recall tasks, language modeling, time-series forecasting, control, and physical-system prediction. A central tension is how to preserve useful information and stable learning over long sequences while keeping computation efficient and matching the accuracy and flexibility of Transformers.

Latest papers

CardsList

302 papers47 papers in the last four weeks, up 15% on the four weeks before. 0.3% of all new papers.

  1. ParaRNN: An Interpretable and Parallelizable Recurrent Neural Network for Time-Dependent Data

    May 4, 2026Yuxi Cai, Lan Li, Feiqing Huang +1Interpretable MLRecurrent Neural Networks

  2. Benchmarking LightGBM and BiLSTM for Sentiment Analysis on Indonesian E-Commerce Reviews

    May 2, 2026Lidia Natasyah Marpaung, Vania Claresta, Iqfina Haula Halika +3Gradient-Boosted Decision TreesSentiment Analysis

  3. Benchmarking local Hebbian learning rules for memory storage and prototype extraction

    May 1, 2026Anders Lansner, Andreas Knoblauch, Naresh B Ravichandran +1Hebbian LearningRecurrent Neural Networks

  4. Multi-frame Restoration for High-rate Lissajous Confocal Laser Endomicroscopy

    May 1, 2026Minhee Lee, Sangyoon Lee, Jiwook Lee +4EndoscopyMedical Imaging

  5. Scalable Learning in Structured Recurrent Spiking Neural Networks without Backpropagation

    May 1, 2026Bo Tang, Weiwei XieRecurrent Neural NetworksSpiking Neural Networks

  6. Benchmarking PyCaret AutoML Against BiLSTM for Fine-Grained Emotion Classification: A Comparative Study on 20-Class Emotion Detection

    Apr 29, 2026Arya Muda Siregar, Arielva Simon Siahaan, Haikal Fransisko Simbolon +3Recurrent Neural NetworksText Classification

  7. PPG-Based Affect Recognition with Long-Range Deep Models: A Measurement-Driven Comparison of CNN, Transformer, and Mamba Architectures

    Apr 28, 2026Karim Alghoul, Hussein Al Osman, Abdulmotaleb El SaddikSelective SSMsRecurrent Neural Networks

  8. Teacher Forcing as Generalized Bayes: Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics

    Apr 28, 2026Andre Herz, Daniel Durstewitz, Georgia KoppeNeural Surrogate ModelingGeneralized Bayesian Inference

  9. Learning-Based Dynamics Modeling and Robust Control for Tendon-Driven Continuum Robots

    Apr 28, 2026Ziqing Zou, Ke Qiu, Fei Wang +3Gated Recurrent UnitRobot Trajectory Tracking

  10. Benchmarking Logistic Regression, SVM, and LightGBM Against BiLSTM with Attention for Sentiment Analysis on Indonesian Product Reviews

    Apr 28, 2026Razin Hafid Hamdi, Ivana Margareth Hutabarat, Hanna Gresia Sinaga +3Sentiment AnalysisRecurrent Neural Networks

  11. Sentiment and Emotion Classification of Indonesian E-Commerce Reviews via Multi-Task BiLSTM and AutoML Benchmarking

    Apr 27, 2026Hermawan Manurung, Ibrahim Al-Kahfi, Ahmad Rizqi +1Sentiment AnalysisRecurrent Neural Networks

  12. Primitive Recursion without Composition: Dynamical Characterizations, from Neural Networks to Polynomial ODEs

    Apr 27, 2026Olivier BournezDynamical SystemsReLU Neural Networks

  13. Neural surrogates for crystal growth dynamics with variable supersaturation: explicit vs. implicit conditioning

    Apr 23, 2026Matteo Rigoni, Daniele Lanzoni, Francesco Montalenti +1Neural Surrogate ModelingConvolutional RNNs

  14. How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models

    Apr 22, 2026Kristian Schwethelm, Daniel Rueckert, Georgios KaissisTruncated Backpropagation Through TimeLanguage Model Scaling Laws

  15. Machine Learning Hamiltonian Dynamical Systems with Sparse and Noisy Data

    Apr 19, 2026Vedanta Thapar, Abhinav GuptaNonlinear System IdentificationRecurrent Neural Networks

  16. Fully Analog Resonant Recurrent Neural Network via Metacircuit

    Apr 19, 2026Zixin Zhou, Tianxi Jiang, Menglong Yang +3Efficient Neural Network InferenceTime Series Classification

  17. LASER: Low-Rank Activation SVD for Efficient Recursion

    Apr 19, 2026Ege Çakar, Ketan Ali Raghu, Lia ZhengLow-Rank Matrix DecompositionRecurrent Neural Networks

  18. The Topological Trouble With Transformers

    Apr 18, 2026Michael C. Mozer, Shoaib Ahmed Siddiqui, Rosanne LiuTransformer FFNsRecurrent Neural Networks

  19. Multilevel neural networks with dual-stage feature fusion for human activity recognition

    Apr 17, 2026Abeer FathAllah Brery, Ascensión Gallardo-Antolín, Israel Gonzalez-Carrasco +1Human Activity RecognitionRecurrent Neural Networks

  20. Combining Convolution and Delay Learning in Recurrent Spiking Neural Networks

    Apr 17, 2026Lúcio Folly Sanches Zebendo, Eleonora Cicciarella, Michele RossiConvolutional RNNsEfficient Neural Network Inference

  21. Impact of leaky dynamics on predictive path integration accuracy in recurrent neural networks

    Apr 17, 2026Yanlin Zhang, Yan Zhang, Muhua Zheng +1Recurrent Neural NetworksContinuous Attractor Neural Networks

  22. A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning

    Apr 16, 2026Anand Gokhale, Anton V. Proskurnikov, Yu Kawano +1Dynamical SystemsContraction Theory

  23. NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning

    Apr 16, 2026Hibatallah Meliani, Khadija Slimani, Samira KhouljiEvolutionary OptimizationRobot Navigation

  24. Neuromorphic Spiking Ring Attractor for Proprioceptive Joint-State Estimation

    Apr 15, 2026Federica Ferrari, Flavia Davidhi, Bernard Maacaron +6Continuous Attractor Neural NetworksRobot State Estimation

  25. Modeling of Self-sustained Neuron Population without External Stimulus

    Apr 15, 2026İhsan Ertuğrul Karakaş, Özden Özel, İlkay Ulusoy +1Neural ProcessesSpiking Neural Networks