Recurrent Neural Networks

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Period ending 2026-09-21

4 new papers

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Period ending 2026-09-14

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Period ending 2026-09-07

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  1. MATE: Solving Contextual Markov Decision Processes with Memory of Accumulated Transition Embeddings

    May 17, 2026Himchan Hwang, Hyeokju Jeong, Gene Chung +3Markov Decision ProcessesMarkov

  2. Parallel Recursive LSTM

    May 16, 2026Tristan Gaudreault, Yongyi MaoParallelRecurrent Neural Networks

  3. Time-Varying Deep State Space Models for Sequences with Switching Dynamics

    May 14, 2026Sanja Karilanova, Subhrakanti Dey, Ayça ÖzçelikkaleTime-Varying SystemsState Space Models

  4. PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams

    May 14, 2026Peter Bauer, Andreas Porada, Felix Ott +2Multi-Sensor FusionInertial Measurement Units

  5. Probabilistic Verification of Recurrent Neural Networks for Single and Multi-Agent Reinforcement Learning

    May 14, 2026Luca Marzari, Enrico MarchesiniReinforcement Learning With Verifiable RewardDeep Reinforcement Learning

  6. Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction

    May 12, 2026Florian Hess, Florian Götz, Daniel DurstewitzRecurrent Neural NetworksNonlinear Dynamics

  7. Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons

    May 12, 2026Aaron Spieler, Georg Martius, Anna LevinaRecurrent Neural NetworksScaling Laws

  8. Improving the Performance and Learning Stability of Parallelizable RNNs Designed for Ultra-Low Power Applications

    May 12, 2026Julien Brandoit, Arthur Fyon, Damien Ernst +1Recurrent ModelRecurrent Neural Networks

  9. Explainability of Recurrent Neural Networks for Enhancing P300-based Brain-Computer Interfaces

    May 11, 2026Christian Oliva, Vinicio Changoluisa, Francisco B Rodríguez +1Brain-Computer InterfaceExplainability

  10. Key-Value Means: Transformers with Expandable Block-Recurrent Compressed Memory

    May 11, 2026Daniel Goldstein, Eugene CheahQuadratic AttentionEfficient Long-Context Inference

  11. Fetal Brain Imaging: A Composite Neural Network Approach for Keyframe Detection in Ultrasound Videos

    May 10, 2026Aleksander Zamojski, Kacper Jarczak, Radoslaw RoszczykUltrasoundConvolutional Neural Networks

  12. Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction

    May 8, 2026Himanshu Udupi, Xiaocong Yang, ChengXiang ZhaiSpiking Neural NetworksTime-Step-Wise Learnable Surrogate Gradient Function

  13. Rethinking State Tracking in Recurrent Models Through Error Control Dynamics

    May 8, 2026Jiwan Chung, Heechan Choi, Seon Joo KimRecurrent ModelRecurrent Neural Networks

  14. MinMax Recurrent Neural Cascades

    May 7, 2026Alessandro RoncaRecurrent Neural NetworksExpressivity

  15. Unifying Dynamical Systems and Graph Theory to Mechanistically Understand Computation in Neural Networks

    May 5, 2026Jatin Sharma, Dan F. M Goodman, Danyal AkarcaRecurrent Neural NetworksNeural Network

  16. Learning reveals invisible structure in low-rank RNNs

    May 5, 2026Yoav Ger, Omri BarakRecurrent Neural NetworksSynaptic Plasticity

  17. Symmetry, Defects, and Diffusion in Continuous-memory Recurrent Networks

    May 5, 2026Hanson Hanxuan MoRecurrent Neural NetworksSymmetry

  18. Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning

    May 4, 2026Matthew Schlegel, Volodymyr Tkachuk, Adam White +1Recurrent Neural NetworksDeep Reinforcement Learning

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

    May 4, 2026Yuxi Cai, Lan Li, Feiqing Huang +1Recurrent Neural NetworksNonparametric

  20. CNN-based Multi-In-Multi-Out Model for Efficient Spatiotemporal Prediction

    May 2, 2026Hyeonseok JinSpatiotemporal PredictionConvolutional Neural Networks

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

    May 1, 2026Bo Tang, Weiwei XieSpiking Neural NetworksRecurrent Neural Networks

  22. Data Deletion Can Help in Adaptive RL

    Apr 30, 2026Param Budhraja, Aditya Gangrade, Alex Olshevsky +1Linear Contextual BanditsMarkov Decision Processes

  23. Inferring bifurcation diagrams of two distinct chaotic systems by a single machine

    Apr 29, 2026Jianmin Guo, Yao Du, Yizhen Yu +2Reservoir ComputingChaos

  24. Verification of Neural Networks (Lecture Notes)

    Apr 28, 2026Benedikt BolligNeural Network VerificationFeed-Forward Network

  25. Decoding High-Dimensional Finger Motion from EMG Using Riemannian Features and RNNs

    Apr 24, 2026Martin Colot, Cédric Simar, Guy Cheron +2Surface ElectromyographyKinematics

  26. On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

    Apr 23, 2026Rishona Daniels, Duna Wattad, Ronny Ronen +2Reservoir ComputingResistive Random Access Memory

  27. Convergent Evolution: How Different Language Models Learn Similar Number Representations

    Apr 22, 2026Deqing Fu, Tianyi Zhou, Mikhail Belkin +2Co-OccurrenceRecurrent Neural Networks

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

    Apr 19, 2026Vedanta Thapar, Abhinav GuptaDynamical SystemsHamiltonian

  29. SPaRSe-TIME: Saliency-Projected Low-Rank Temporal Modeling for Efficient and Interpretable Time Series Prediction

    Apr 19, 2026K. A. ShahriarTime SeriesTemporal Deep Learning Framework

  30. Fully Analog Resonant Recurrent Neural Network via Metacircuit

    Apr 19, 2026Zixin Zhou, Tianxi Jiang, Menglong Yang +3Neuromorphic HardwareAnalog

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

    Apr 17, 2026Lúcio Folly Sanches Zebendo, Eleonora Cicciarella, Michele RossiSpiking Neural NetworksRecurrent Neural Networks

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

    Apr 17, 2026Yanlin Zhang, Yan Zhang, Muhua Zheng +1Recurrent Neural NetworksSynaptic Plasticity

  33. On Dominant Manifolds in Reservoir Computing Networks

    Apr 7, 2026Noa Kaplan, Alberto Padoan, Anastasia BizyaevaReservoir ComputingRecurrent Neural Networks

  34. Learning State-Tracking from Code Using Linear RNNs

    Feb 16, 2026Julien Siems, Riccardo Grazzi, Korbinian Pöppel +3Sequence ModelingAutomata

  35. Learnability Window in Gated Recurrent Neural Networks

    Dec 5, 2025Lorenzo LiviRecurrent Neural NetworksGated Recurrent Unit

  36. Prompting Robot Teams with Natural Language

    Sep 29, 2025Eduardo Sebastián, Nicolas Pfitzer, Ajay Shankar +1Multi-Robot SystemsExecutable Robot Behavior

  37. Deep Regularized RNNs for Virtual Analog Modeling

    Sep 19, 2025V. Valtteri Kallinen, Lauri Juvela, Thom ShersonAnalogRecurrent Neural Networks

  38. Dynamical stability for dense patterns in attractor neural networks

    Jul 14, 2025Uri Cohen, Máté LengyelSynaptic PlasticityRecurrent Neural Networks

  39. R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks

    Apr 1, 2025Nicholas H. Barbara, Ruigang Wang, Ian R. ManchesterRecurrent Neural NetworksDeep Network

  40. Koopman-informed recurrent neural networks

    Oct 30, 2024Erik Lien Bolager, Ana Čukarska, Iryna Burak +2Recurrent Neural NetworksKoopman Operator