Recurrent Neural Networks

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  1. 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

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

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

  3. Learning-Induced Dynamical Transition in Recurrent Neural Networks

    Sep 16, 2026Varun VaidyaLearning DynamicsRecurrent Neural Networks

  4. Neural noise enables accurate internal simulation of rare events

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

  5. 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

  6. 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

  7. 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

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

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

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

    Sep 1, 2026Amirhosein AzarpourKolmogorov-Arnold NetworksRecurrent Neural Networks

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

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

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

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

  12. 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

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

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

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

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

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

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

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

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

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

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

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

    Jul 30, 2026Mostafa Haghir ChehreghaniGraph Neural NetworksRecurrent Neural Networks

  19. Frequency-Based Reservoir computing

    Jul 27, 2026Arthur S PowanweReservoir ComputingReservoir

  20. Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation

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

  21. User-Centric Modeling of Transactional Sequences with Explainable State Space Models

    Jul 22, 2026Ivan PalaginState Space ModelsSequence Modeling

  22. Online learning of neural state-space models

    Jul 20, 2026Bendegúz Györök, Tamás Péni, Maarten Schoukens +1State Space ModelsSystem Identification

  23. Accounting for Hysteresis and Eddy Currents in Finite Element Simulations of Ferromagnetic Laminated Cores using a Recurrent Neural Network

    Jul 15, 2026Florent Purnode, Louis Denis, François Henrotte +2Magnetic Tunnel JunctionSurrogate Models

  24. Robustly Invertible Nonlinear Dynamics and the BiLipREN: From Inversion-Based Control to Generative Trajectory Modelling

    Jul 10, 2026Yurui Zhang, Ruigang Wang, Ian R. ManchesterInverse DynamicsNonlinear Dynamics

  25. Letter Lemmatization: One-to-one and Banded RNNs for Reversing Character-Set Simplification and Abbreviation in Medieval Text

    Jul 10, 2026Anguelos Nicolaou, Maria Pia Tiseo, Tamas Kovacs +2Single-Character WildcardsWord Error Rate

  26. ResonatorLM: Causal Resonant Field Mixing for Efficient Long-Context Language Modeling

    Jul 6, 2026Archie ChaudhuryEfficient Long-Context InferenceTransformer Architectures

  27. Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks

    Jun 28, 2026Lorenzo LiviRecurrent Neural NetworksLearning Rates

  28. Adaptive Financial Transformer with Regime-Gated Attention for Stock Return Prediction

    Jun 28, 2026Dishan SarkarTransformer AttentionTransformer Architectures

  29. The Context-Ready Transformer

    Jun 25, 2026Mahesh GodavartiTransformer LayersTransformer Architectures

  30. Calibrated Harmonic Overlaid Implicit Neural Representations for Multi-Dimensional Data

    Jun 25, 2026Honghang Chen, Xiujun Zhang, Xiaoli Sun +1Implicit Neural RepresentationsSpectral Reconstruction

  31. Two-dimensional Hyperbolic RNN Neural Quantum State

    Jun 24, 2026H. L. DaoQuantum Neural NetworksTwo-Dimensional Ising Model

  32. Identifying structural design principles shaping the computational abilities of recurrent neural networks

    Jun 22, 2026Tom Talpir, Elad SchneidmanRecurrent Neural NetworksNeural Network

  33. FLYNN: Robust Neural Network for Robot Navigation using Fly Brain Topology

    Jun 21, 2026Benquan Wang, Jingdao ChenRecurrent Neural NetworksBrain Connectome Modality

  34. Distilling a Modular Reservoir Through a Genomic Bottleneck

    Jun 20, 2026Mani Hamidi, Sina Khajehabdollahi, Charley M. Wu +1Reservoir ComputingRecurrent Neural Networks

  35. Recurrent neural networks approximate continuous functions

    Jun 18, 2026Valentin Abadie, Clemens Hutter, Helmut BölcskeiNeural-Network ApproximationRecurrent Neural Networks

  36. Task-Restricted Symmetries in Recurrent Weight Space

    Jun 16, 2026Simon DrägerRecurrent Neural NetworksWeight-Space

  37. Dimensionality Controls When Modularity Helps in Continual Learning

    Jun 16, 2026Kathrin Korte, Christian Medeiros Adriano, Joachim Winther Pedersen +2Efficient Continual LearningContinual Learning Methods

  38. Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks

    Jun 12, 2026Mo Shakiba, Rana Rokni, Mohammad Mohammadi +1Human Visual CortexFunctional Networks

  39. LongSpike: Fractional Order Spiking State Space Models for Efficient Long Sequence Learning

    Jun 11, 2026Xinrui He, Qiyu Kang, Xuhao Li +1Spiking Neural NetworksBinary Spikes

  40. Robustness Verification of Recurrent Neural Networks with Abstraction Refinement

    Jun 10, 2026Li-Jen Lin, Chih-Duo HongNeural Network VerificationRecurrent Neural Networks

  41. Non-linear mechanical field reconstruction coupling recurrent neural networks with physics-informed graph neural networks

    Jun 9, 2026Manuel Ricardo Guevara Garban, Yves Chemisky, Étienne Prulière +3Finite Element MethodPorous Media

  42. Machine Learning Methods for Studying Latent Neural Activity Dynamics

    Jun 9, 2026Shufeng Kong, Fumei Deng, Xinyi Dong +7Human Brain NetworksNeural Recordings

  43. Detecting Speculative Language in Biomedical Texts using Recurrent Neural Tensor Networks

    Jun 9, 2026Dhruv DixitBiomedical TextRecurrent Neural Networks

  44. Towards Critical Branching Mechanism in Recurrent Neural Networks

    Jun 9, 2026Feixiang Ren, Ling FengRecurrent Neural NetworksBifurcation

  45. Mechanical Field Networks: Structured Neural Dynamics for Multivariate Systems

    Jun 8, 2026Xingji CuiDynamics ModelsRecurrent Neural Networks

  46. Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory

    Jun 8, 2026Yuan-chin Ivan ChangRecurrent Neural NetworksBackward Induction

  47. Pretraining Recurrent Networks without Recurrence

    Jun 4, 2026Akarsh Kumar, Phillip IsolaRecurrent Neural NetworksBackpropagation

  48. ExpSpeech-Net: Multimodal Fusion of Expression and Speech for Deepfake Detection

    Jun 4, 2026Ruchika Sharma, Rudresh DwivediAudio Deepfake DetectionDeepfake Detection

  49. Dynamic Short Convolutions Improve Transformers

    Jun 2, 2026Oliver Sieberling, Bharat Runwal, Rameswar Panda +1Transformer ArchitecturesConvolutional

  50. Physics-Guided Recurrent State-Space Neural Networks for Multi-Step Prediction

    Jun 1, 2026Ruiyuan Li, Ajay Seth, Manon KokState Space ModelsPhysics-Guided Deep Learning Framework

  51. An Algebraic View of the Expressivity of Recurrent Language Models

    Jun 1, 2026Franz Nowak, Ryan Cotterell, Reda BoumasmoudRecurrent Neural NetworksAlgebraic Structures

  52. SHARP: Sleep-based Hierarchical Accelerated Replay for Long Range Non-Stationary Temporal Pattern Recognition

    May 30, 2026Jayanta Dey, Shikhar Srivastava, Itamar Lerner +2Temporal Deep Learning FrameworkNon-Stationarity

  53. Dynamics and Representation Structure of Local Approximations to Gradient-Based Learning in Linear Recurrent Neural Networks

    May 29, 2026Ezekiel Williams, Alexandre Payeur, Guillaume LajoieRecurrent Neural NetworksLearning Dynamics

  54. Flow map learning in nonlinear vector autoregressive models: influence of the feature-library structure on the training error

    May 29, 2026Markus GrossNonlinear DynamicsReservoir Computing

  55. Neuro-symbolic Syntactic Parsing: Shaping a Neural Network with the CYK Algorithm

    May 29, 2026Fabio Massimo Zanzotto, Federico Ranaldi, Giorgio SattaNeuro-Symbolic FrameworkContext-Free Grammars

  56. Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning

    May 29, 2026Yike Zhao, Onno Eberhard, Malek Khammassi +2Recurrent ModelPartially Observable Markov Decision Process

  57. Memory Uncertainty Relation and Harmonic Memory in Random Recurrent Networks

    May 23, 2026Taichi Haruna, Kohei NakajimaRecurrent Neural Networks

  58. LC-Flow: Learning Local Continuous Optical Flow and Confidence from events

    May 23, 2026Gunwoo Jeon, Chaesong Park, Jongwoo LimOptical FlowVision Sensors

  59. Sutra: Tensor-Op RNNs as a Compilation Target for Vector Symbolic Architectures

    May 20, 2026Emma LeonhartPytorchTensor Programs

  60. BrainDyn: A Sheaf Neural ODE for Generative Brain Dynamics

    May 19, 2026Siddharth Viswanath, Panayiotis Ketonis, Chen Liu +3Human Brain NetworksNeural Ordinary Differential Equations