Recurrent Neural Networks

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Period ending 2026-09-21

15 new papers

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Period ending 2026-09-14

9 new papers

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Period ending 2026-09-07

10 new papers

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243 papers

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  1. Non-Commutative State Tracking with Input-Dependent Low-Rank Updates in Mamba-3

    Sep 23, 2026Hiroki Fujii, Masaki YamakitaRecurrent State

  2. Attention Routing Stabilizes Early: Working-Set Inference for Recurrent Language Models

    Sep 23, 2026Ke Wan, Chen ChenRecurrent ModelEfficient Long-Context Inference

  3. Inference of Unknown Dynamical Components Using Next Generation Reservoir Computing: From Chaotic Systems to Climate Data

    Sep 21, 2026Jule Budnick, Andrew Keane, Serhiy YanchukReservoir ComputingRecurrent Neural Networks

  4. dQwen3.5: Hybrid-Attention Diffusion Language Models

    Sep 17, 2026Anton Xue, Litu Rout, Aditya Akella +3Diffusion Language ModelsAutoregressive Model

  5. When Hiring Becomes Agent-Mediated: Evaluating Access and Recurrence in Two-Agent Résumé Screening

    Sep 17, 2026Jian Gao, Hang JiangScreeningInterviews

  6. Learning-Induced Dynamical Transition in Recurrent Neural Networks

    Sep 16, 2026Varun VaidyaLearning DynamicsRecurrent Neural Networks

  7. Long-Lived Characters, Local Inference: Incremental Memory Maintenance for Game NPCs

    Sep 16, 2026Zimu XuRecurrent StateSingle-Character Wildcards

  8. CoRe-MARL: Cooperative Redistribution Under Unknown Dynamics Using Recurrent Multi-Agent Reinforcement Learning

    Sep 16, 2026Naimur Rahman Chowdhury, Shatabdi Sen Prapti, Md. Salehin Seyam +1Multi-Agent Reinforcement LearningDecentralization

  9. RecMorph: Topology-Guided Spatial Recurrence for Generalized Morphology Control

    Sep 16, 2026Quanrui Rao, Yong Liu, Xueming Xiao +4Long-Tail Humanoid Whole-Body ControlMorphology

  10. Neural noise enables accurate internal simulation of rare events

    Sep 16, 2026Heng Zhang, Pawel Herman, Zenas C. ChaoBayesian Neural NetworksRecurrent Neural Networks

  11. The Attention Within: Consensus Dynamics in Selective State Space Models

    Sep 16, 2026João Pedro Silvestre, Álvaro Rodríguez Abella, Paulo TabuadaState Space ModelsRecurrence

  12. Persistent Recurrent Memory Between Transformer Layers - Improves Language Model Generalization

    Sep 15, 2026Eduardo Novaes HeringTransformer LayersTransformer Encoder

  13. Learning Options for Compositional Motor Control with Adapter Banks

    Sep 15, 2026Sreejan Kumar, Marcelo Mattar, Lea DunckerMotor SkillsRecurrence

  14. CorrRisk-WM: Corridor-Conditioned Risk World Modeling for Safety-Critical Trajectory Planning

    Sep 15, 2026Tingyu Guo, Reza LangariTrajectory PredictionWorld Models

  15. On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models

    Sep 15, 2026William L. Tong, Aryo Lotfi, Emmanuel Abbe +6State Space ModelsSequence Modeling

  16. Anatomy of Associative Recall in Fixed-State Recurrences: A Matched-State Decomposition, an Interference Wall, and a Curriculum That Breaks It

    Sep 14, 2026Julian Boesch, Andrew WeeRecurrent ModelRecurrence

  17. RunningTensor: Generalizing Linear Attention to Higher-Order Recurrent States

    Sep 14, 2026Luca Herranz-Celotti, Vincent GuigueRecurrent StateQuadratic Attention

  18. Temporal Recurrence Favors Fewer Layers

    Sep 14, 2026Ivan Anokhin, Johan Obando-Ceron, Irina Rish +1Recurrent ModelRecurrence

  19. Thinking with Looped Flows

    Sep 12, 2026Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom +3Generative Flow NetworksDeep Learning

  20. The information geometry of large language models is shared, learned, and controllable

    Sep 11, 2026Dario PicozziRecurrent Model

  21. Learning Length-Extrapolatable Recurrent Models

    Sep 8, 2026Hanwen JiangRecurrent ModelCatastrophic Forgetting

  22. Multi-Task Learning for Sparsely-Labeled Time Series: A Case Study on Cold-Hardiness Modeling

    Sep 8, 2026Aseem Saxena, Paola Pesántez-Cabrera, Markus Keller +1Multi--Task LearningFruit

  23. PAC-Bayesian Bounds for Learning Partially Observed Stochastic Linear Time-Invariant State-Space Systems with Inputs and Sub-Gaussian Noise

    Sep 8, 2026Mihaly Petreczky, Mohamad Al Ahdab, John LethBayesianStochastic Dynamics

  24. Kalman Delta Networks: Uncertainty-aware Associative Memory

    Sep 7, 2026Ngoc Bui, Tinglin Huang, Rex YingRecurrent ModelDense Associative Memory

  25. Pre-Whitening and BCJR Posterior Distillation for Bi-LSTM Detection in Faster-than-Nyquist Signaling

    Sep 7, 2026Nurettin Safak, Osman Tokluoglu, Enver CavusBidirectional Long Short-Term MemoryRecurrent Model

  26. Separating Stream Stability from Long-Term Recall in Language Models

    Sep 7, 2026Peipei Cao, Xin Zhang, Jie Tang +3Autoregressive Language ModelsEfficient Long-Context Inference

  27. When Quantization Breaks Memory: Recurrent-State Write-Back in Low-Precision Temporal Inference

    Sep 7, 2026Ismail Erbas, Xavier Intes, Vikas PandeyRecurrent StateQuantization

  28. Prospective Coding Improves Learning in Deep Continuous-Time Recurrent Networks

    Sep 3, 2026Shivang Rawat, Mirko Morello, Flaviano Morone +1Recurrent Neural NetworksRecurrent Model

  29. Why Gated DeltaNet Survives 4-Bit Quantization: NVFP4 W4A4 for the Recurrent Half of a Hybrid 27B LLM

    Sep 3, 2026Sergii Kozyrev, Davyd MaiborodaFp8Quantization

  30. RecurTrace: Adaptive Latent Reasoning with Loop-Time Memory

    Sep 3, 2026Yuxiang Wang, Kunyu Feng, Yingda Shen +3Efficient Latent ReasoningRecurrent Model

  31. Looped Transformers under the Jacobian Lens: Does the Global Workspace Survive Recurrence?

    Sep 1, 2026Wenlong Wang, Fergal ReidRecurrenceRepresentation Space

  32. RecKAN: Kolmogorov-Arnold Networks with a Learnable Recursive Polynomial Basis

    Sep 1, 2026Amirhosein AzarpourKolmogorov-Arnold NetworksRecurrent Neural Networks

  33. A Mathematical Theory of Reusable Neural Bases for Network Compression

    Sep 1, 2026Binshuai Wang, Peng WeiRecurrent Neural NetworksLarge Language Model Compression

  34. How Temporal Correlations Shape Memory in Linear Recurrent Neural Networks

    Aug 31, 2026Arnol Manuel Fokam, Fasseu Sieyondji Akpevwoghene, Edem Fiifi DawsonRecurrent Neural NetworksNeural Network

  35. DASC: Decay-Aware State Compression for Hybrid Linear-Attention Serving

    Aug 31, 2026Yanqi Yu, Pingwei Sun, Jianchao Tan +4Quadratic AttentionRecurrent State

  36. Tail-Replay: Escaping the Curse of Linear Attention in Prefix Caching for Hybrid LLMs

    Aug 31, 2026Yirui Liu, Ruoling Qi, Xuaner Wu +2Quadratic AttentionEfficient Long-Context Inference

  37. "More Is Different'' in Neural Circuits: Algebraic Emergence of Effective Theories in Canonical Recurrent Motifs of Biological Neuronal Networks

    Aug 31, 2026Nima DehghaniMotifAlgebraic Structures

  38. MARCH: Scaling Recurrent Memory with Content-Routed State Anchors

    Aug 12, 2026Ming Zhang, Kaisen Yang, Shu Yu +6Recurrent ModelEfficient Long-Context Inference

  39. Deep Learning Based Relative Transfer Matrix Estimation for Multiple Sources and Multiple Microphones

    Aug 12, 2026Oshan A. B. Yalegama, Wageesha N. ManamperiDirection-Of-Arrival EstimationSpeech Enhancement

  40. Predictive Allostatic Organization in Recurrent and Spiking Agents Under Partial Observability

    Aug 11, 2026Frederick HayesPredictive CodingPartial Observability

  41. Recurrent Neural Networks Beyond Time: Learning from Multiple Ordered Projections

    Aug 10, 2026Vagan Terziyan, Artur Terziian, Oleksandra VitkoRecurrent Neural NetworksSequence Modeling

  42. ZetaGPT: A Reference Implementation of Positional--Encoding--Free State--Space--Attention Language Models

    Aug 10, 2026Róisín LuoPositional EncodingRecurrent State

  43. Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks

    Aug 7, 2026Wilkie Olin-AmmentorpSpiking Neural NetworksRecurrent Neural Networks

  44. DreamGuard: Efficient Runtime Guardrail for LLM Agents via Risk-Aware World Model

    Aug 6, 2026Wenhao Lin, Chenyu Yu, Xingwei Lin +6Large Language Model AgentsLarge Language Model Safety

  45. Effective pruning of task-trained recurrent neural networks using noisy fluctuations and connection rescaling

    Aug 5, 2026Sanjith Senthil, Rishidev ChaudhuriRecurrent Neural NetworksSynaptic Plasticity

  46. Training Crossroads for Recurrent Vision Transformers: Recurrence, Neural ODEs, and Deep Supervision

    Aug 5, 2026Grzegorz Gruszczynski, Pawel Olszowiec, Michal Byra +2Self-Supervised Vision TransformersVision Transformer

  47. Rethinking Reservoir Pruning: A Dynamical Perspective for Echo State Networks

    Aug 5, 2026Sudip Laudari, Puspa Raj AdhikariReservoir ComputingQualitative Dynamics

  48. MINT: Tensor Decomposition on Stacked Recurrence Matrices for Time Series Data Mining

    Aug 4, 2026Kaamil Kaka, Audrey Der, Evangelos E. Papalexakis +2Time SeriesTensor

  49. Maglev: Sliding Recurrent Memory

    Aug 3, 2026Bo Liu, Qiang LiuSliding-Window AttentionRecurrent Model

  50. DART: Decoded Attention over Recurrent States for Efficient Long-Context Sequence Modeling

    Aug 3, 2026Yixiao Qian, Song Chen, Pengkai Wang +3Recurrent StateEfficient Long-Context Inference

  51. Divisive Normalization Shapes Low-Rank Slow Manifolds for Continuous Working Memory

    Aug 3, 2026Zhaotian Gu, Jie Su, Weiwei Wang +3Recurrent Neural NetworksSynaptic Plasticity

  52. Retrofitting Recurrent Depth into a Pretrained Language Model: Installation, Extrapolation, Transfer, and Retention at Two Parameter Budgets

    Jul 31, 2026Mark ShapiroLarge Language Model PretrainingRecurrent Model

  53. Persistent Gaussian Perturbations Prevent Oversmoothing in Recurrent Graph Neural Networks

    Jul 30, 2026Mostafa Haghir ChehreghaniGraph Neural NetworksRecurrent Neural Networks

  54. Dynamic Spectral Filtering for Temporal Graph Learning: Learning Evolving Propagation Operators

    Jul 30, 2026Yan KongTemporal GraphsZero-Shot Link Prediction

  55. Looped Transformers with Source-Centered State Evolution

    Jul 30, 2026Bum Jun Kim, Kohei Hayashi, Shunsuke Kamiya +3Recurrent StateTransformer Architectures

  56. The Sparsity Ceiling: Where Spiking Networks Can and Cannot Trade Activity for Energy

    Jul 29, 2026Zeyu WangSpiking Neural NetworksNeuromorphic Hardware

  57. Memory for Large Language Models

    Jul 28, 2026Sining Zhoubian, Dan Zhang, Evgeny Kharlamov +1Large Language Model MemoryExplicit Memory

  58. Lindblad-Inspired Multi-Timescale Reservoir Computing with Separable Rotation and Dissipation

    Jul 27, 2026Jyotiranjan Beuria, Amit ShuklaReservoir ComputingReservoir

  59. Frequency-Based Reservoir computing

    Jul 27, 2026Arthur S PowanweReservoir ComputingReservoir

  60. Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation

    Jul 23, 2026Hyunmin Cho, Jaejun Yoo, Kyong Hwan JinImplicit Neural RepresentationsRecurrent Neural Networks