{"total":94,"rows":[{"id":"2401.10166","title":"VMamba: Visual State Space Model","created":"2024-01-18","cited_by_count":969,"area":null},{"id":"2303.06349","title":"Resurrecting Recurrent Neural Networks for Long Sequences","created":"2023-03-11","cited_by_count":408,"area":null},{"id":"2404.08819","title":"The Illusion of State in State-Space Models","created":"2024-04-12","cited_by_count":187,"area":null},{"id":"2311.04823","title":"Hierarchically Gated Recurrent Neural Network for Sequence Modeling","created":"2023-11-08","cited_by_count":102,"area":null},{"id":"2512.24695","title":"Nested Learning: The Illusion of Deep Learning Architectures","created":"2025-12-31","cited_by_count":72,"area":null},{"id":"2505.23735","title":"ATLAS: Learning to Optimally Memorize the Context at Test Time","created":"2025-05-29","cited_by_count":66,"area":null},{"id":"2504.13173","title":"It's All Connected: A Journey Through Test-Time Memorization, Attentional Bias, Retention, and Online Optimization","created":"2025-04-17","cited_by_count":64,"area":null},{"id":"2302.06646","title":"Simple Hardware-Efficient Long Convolutions for Sequence Modeling","created":"2023-02-13","cited_by_count":62,"area":null},{"id":"2302.06755","title":"Dataset Distillation with Convexified Implicit Gradients","created":"2023-02-13","cited_by_count":46,"area":null},{"id":"2309.12252","title":"Parallelizing non-linear sequential models over the sequence length","created":"2023-09-21","cited_by_count":45,"area":null},{"id":"2410.03943","title":"Oscillatory State-Space Models","created":"2024-10-04","cited_by_count":39,"area":null},{"id":"2410.01201","title":"Were RNNs All We Needed?","created":"2024-10-02","cited_by_count":38,"area":null},{"id":"2410.20399","title":"ThunderKittens: Simple, Fast, and Adorable AI Kernels","created":"2024-10-27","cited_by_count":36,"area":null},{"id":"2311.05908","title":"FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores","created":"2023-11-10","cited_by_count":33,"area":null},{"id":"2407.06324","title":"B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory","created":"2024-07-08","cited_by_count":26,"area":null},{"id":"2402.07440","title":"Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT","created":"2024-02-12","cited_by_count":21,"area":null},{"id":"2411.10741","title":"MetaLA: Unified Optimal Linear Approximation to Softmax Attention Map","created":"2024-11-16","cited_by_count":21,"area":null},{"id":"2306.11197","title":"Sparse Modular Activation for Efficient Sequence Modeling","created":"2023-06-19","cited_by_count":20,"area":null},{"id":"2305.01638","title":"Sequence Modeling with Multiresolution Convolutional Memory","created":"2023-05-02","cited_by_count":19,"area":null},{"id":"2401.00955","title":"Learning Long Sequences in Spiking Neural Networks","created":"2023-12-14","cited_by_count":19,"area":null},{"id":"2310.01698","title":"Robustifying State-space Models for Long Sequences via Approximate Diagonalization","created":"2023-10-02","cited_by_count":18,"area":null},{"id":"2405.06147","title":"State-Free Inference of State-Space Models: The Transfer Function Approach","created":"2024-05-10","cited_by_count":18,"area":null},{"id":"2410.02035","title":"Tuning Frequency Bias of State Space Models","created":"2024-10-02","cited_by_count":17,"area":null},{"id":"2509.22284","title":"Structured Sparse Transition Matrices to Enable State Tracking in State-Space Models","created":"2025-09-26","cited_by_count":16,"area":null},{"id":"2309.07412","title":"Advancing Regular Language Reasoning in Linear Recurrent Neural Networks","created":"2023-09-14","cited_by_count":13,"area":null},{"id":"2406.02395","title":"GrootVL: Tree Topology is All You Need in State Space Model","created":"2024-06-04","cited_by_count":13,"area":null},{"id":"2406.05815","title":"What Can We Learn from State Space Models for Machine Learning on Graphs?","created":"2024-06-09","cited_by_count":13,"area":null},{"id":"2405.13975","title":"HOPE for a Robust Parameterization of Long-memory State Space Models","created":"2024-05-22","cited_by_count":12,"area":null},{"id":"2210.04763","title":"On the Forward Invariance of Neural ODEs","created":"2022-10-10","cited_by_count":11,"area":null},{"id":"2305.16543","title":"Revisiting Structured Variational Autoencoders","created":"2023-05-25","cited_by_count":11,"area":null},{"id":"2312.01538","title":"Recurrent Distance Filtering for Graph Representation Learning","created":"2023-12-03","cited_by_count":11,"area":null},{"id":"2508.04022","title":"Prototype-Driven Structure Synergy Network for Remote Sensing Images Segmentation","created":"2025-08-06","cited_by_count":11,"area":null},{"id":"2311.16620","title":"On the Long Range Abilities of Transformers","created":"2023-11-28","cited_by_count":10,"area":null},{"id":"2305.01429","title":"Unsupervised Feature Based Algorithms for Time Series Extrinsic Regression","created":"2023-05-02","cited_by_count":9,"area":null},{"id":"2505.12171","title":"Learning to Dissipate Energy in Oscillatory State-Space Models","created":"2025-05-17","cited_by_count":9,"area":null},{"id":"2511.07343","title":"TNT: Improving Chunkwise Training for Test-Time Memorization","created":"2025-11-10","cited_by_count":8,"area":null},{"id":"2406.09833","title":"SHMamba: Structured Hyperbolic State Space Model for Audio-Visual Question Answering","created":"2024-06-14","cited_by_count":7,"area":null},{"id":"2604.21100","title":"Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences","created":"2026-04-22","cited_by_count":7,"area":null},{"id":"2407.05591","title":"On the Power of Convolution Augmented Transformer","created":"2024-07-08","cited_by_count":6,"area":null},{"id":"2407.07239","title":"RotRNN: Modelling Long Sequences with Rotations","created":"2024-07-09","cited_by_count":6,"area":null},{"id":"2210.04303","title":"Are All Vision Models Created Equal? A Study of the Open-Loop to Closed-Loop Causality Gap","created":"2022-10-09","cited_by_count":5,"area":null},{"id":"2212.00228","title":"Gated Recurrent Neural Networks with Weighted Time-Delay Feedback","created":"2022-12-01","cited_by_count":5,"area":null},{"id":"2311.04449","title":"Recursion in Recursion: Two-Level Nested Recursion for Length Generalization with Scalability","created":"2023-11-08","cited_by_count":5,"area":null},{"id":"2406.08128","title":"Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences","created":"2024-06-12","cited_by_count":5,"area":null},{"id":"2407.07279","title":"Towards a theory of learning dynamics in deep state space models","created":"2024-07-10","cited_by_count":5,"area":null},{"id":"2506.07919","title":"Uncovering the Computational Roles of Nonlinearity in Sequence Modeling Using Almost-Linear RNNs","created":"2025-06-09","cited_by_count":5,"area":null},{"id":"2404.11163","title":"LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory","created":"2024-04-17","cited_by_count":4,"area":null},{"id":"2510.02823","title":"The Curious Case of In-Training Compression of State Space Models","created":"2025-10-03","cited_by_count":4,"area":null},{"id":"2409.02684","title":"Neural timescales from a computational perspective","created":"2024-09-04","cited_by_count":3,"area":null},{"id":"2501.14980","title":"A Deep State Space Model for Rainfall-Runoff Simulations","created":"2025-01-24","cited_by_count":3,"area":null},{"id":"2505.08977","title":"SaFARi: State-Space Models for Frame-Agnostic Representation","created":"2025-05-13","cited_by_count":3,"area":null},{"id":"2506.21330","title":"Holistic Surgical Phase Recognition with Hierarchical Input Dependent State Space Models","created":"2025-06-26","cited_by_count":3,"area":null},{"id":"2508.20441","title":"Uncovering the Spectral Bias in Diagonal State Space Models","created":"2025-08-28","cited_by_count":3,"area":null},{"id":"2510.07578","title":"Accuracy, Memory Efficiency and Generalization: A Comparative Study on Liquid Neural Networks and Recurrent Neural Networks","created":"2025-10-08","cited_by_count":3,"area":null},{"id":"2601.18064","title":"Resonant Sparse Geometry Networks","created":"2026-01-26","cited_by_count":3,"area":null},{"id":"2407.09553","title":"DPEC: Dual-Path Error Compensation Method for Enhanced Low-Light Image Clarity","created":"2024-06-28","cited_by_count":2,"area":null},{"id":"2408.08567","title":"S$^3$Attention: Improving Long Sequence Attention with Smoothed Skeleton Sketching","created":"2024-08-16","cited_by_count":2,"area":null},{"id":"2408.09453","title":"Reparameterized Multi-Resolution Convolutions for Long Sequence Modelling","created":"2024-08-18","cited_by_count":2,"area":null},{"id":"2501.13230","title":"Let SSMs be ConvNets: State-space Modeling with Optimal Tensor Contractions","created":"2025-01-22","cited_by_count":2,"area":null},{"id":"2503.11224","title":"Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models","created":"2025-03-14","cited_by_count":2,"area":null},{"id":"2504.10669","title":"Perturbed State Space Feature Encoders for Optical Flow with Event Cameras","created":"2025-04-14","cited_by_count":2,"area":null},{"id":"2509.20503","title":"Myosotis: structured computation for attention like layer","created":"2025-09-24","cited_by_count":2,"area":null},{"id":"2510.22951","title":"Hankel Singular Value Regularization for Highly Compressible State Space Models","created":"2025-10-27","cited_by_count":2,"area":null},{"id":"2512.23824","title":"MS-SSM: A Multi-Scale State Space Model for Efficient Sequence Modeling","created":"2025-12-29","cited_by_count":2,"area":null},{"id":"2601.19467","title":"On the Expressiveness of State Space Models via Temporal Logics","created":"2026-01-27","cited_by_count":2,"area":null},{"id":"2606.23670","title":"Tapered Language Models","created":"2026-06-22","cited_by_count":2,"area":null},{"id":"2210.06650","title":"Interpreting Neural Policies with Disentangled Tree Representations","created":"2022-10-13","cited_by_count":1,"area":null},{"id":"2404.05210","title":"Bidirectional Long-Range Parser for Sequential Data Understanding","created":"2024-04-08","cited_by_count":1,"area":null},{"id":"2411.19544","title":"SkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders","created":"2024-11-29","cited_by_count":1,"area":null},{"id":"2412.08595","title":"Numerical Analysis of HiPPO-LegS ODE for Deep State Space Models","created":"2024-12-11","cited_by_count":1,"area":null},{"id":"2506.11305","title":"Don't Pay Attention","created":"2025-06-12","cited_by_count":1,"area":null},{"id":"2602.04170","title":"Partial Ring Scan: Revisiting Scan Order in Vision State Space Models","created":"2026-02-04","cited_by_count":1,"area":null},{"id":"2603.18331","title":"Understanding the Theoretical Foundations of Deep Neural Networks through Differential Equations","created":"2026-03-18","cited_by_count":1,"area":null},{"id":"2607.03055","title":"SHiPPO: Recurrent Memory with Transported Polynomial Projections","created":"2026-07-03","cited_by_count":1,"area":null},{"id":"2608.16844","title":"Proteus: Incremental Memory Activation for Long-Context Sequence Modeling","created":"2026-08-17","cited_by_count":1,"area":null},{"id":"2306.01768","title":"A Quantitative Review on Language Model Efficiency Research","created":"2023-05-28","cited_by_count":0,"area":null},{"id":"2401.17948","title":"HyperZ$\\cdot$Z$\\cdot$W Operator Connects Slow-Fast Networks for Full Context Interaction","created":"2024-01-31","cited_by_count":0,"area":null},{"id":"2409.07746","title":"Learning Brain Tumor Representation in 3D High-Resolution MR Images via Interpretable State Space Models","created":"2024-09-12","cited_by_count":0,"area":null},{"id":"2505.12161","title":"WaLRUS: Wavelets for Long-range Representation Using SSMs","created":"2025-05-17","cited_by_count":0,"area":null},{"id":"2507.01829","title":"mGRADE: Minimal Recurrent Gating Meets Delay Convolutions for Lightweight Sequence Modeling","created":"2025-07-02","cited_by_count":0,"area":null},{"id":"2509.07361","title":"Word2Spike: Poisson Rate Coding for Associative Memories and Neuromorphic Algorithms","created":"2025-09-09","cited_by_count":0,"area":null},{"id":"2512.14112","title":"Optimizing Multi-Tier Supply Chain Ordering with a Hybrid Liquid Neural Network and Extreme Gradient Boosting Model","created":"2025-12-16","cited_by_count":0,"area":null},{"id":"2602.22266","title":"WaveSSM: Multiscale State-Space Models for Non-stationary Signal Attention","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2605.16048","title":"Reshape and Recur: Improving SSMs with Input Reshaping and Depth Recurrence","created":"2026-05-15","cited_by_count":0,"area":null},{"id":"2606.07670","title":"Liquid Neural Networks as a Drop-in Continuous-Time Deformation Field for Dynamic 3D Gaussian Splatting","created":"2026-06-04","cited_by_count":0,"area":null},{"id":"2607.10244","title":"DSSMs: State Space Models with Explicit Memory via Delay Differential Equations","created":"2026-07-11","cited_by_count":0,"area":null},{"id":"2607.15271","title":"Online Neural Space Time Memory for Dynamic Novel View Synthesis","created":"2026-07-16","cited_by_count":0,"area":null},{"id":"2608.09468","title":"MixFormer: Linear Transformer with Mixture of Memory Experts","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.23936","title":"MnemoDyn: Learning Resting State Dynamics from 40K FMRI sequences","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2608.28702","title":"Stochastic Liquid Deformation Fields: An SDE Generalisation of Closed-Form Continuous-Time Cells for Dynamic 3D Gaussian Splatting","created":"2026-08-27","cited_by_count":0,"area":null},{"id":"2609.11132","title":"How Wrong Can a Good Predictor Be? Diverging Updates with Vanishing Predictive KL","created":"2026-09-10","cited_by_count":0,"area":null},{"id":"2609.16710","title":"Continuous-Time Machine Learning: A Unified Mathematical Perspective","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.34831","title":"Structured Neural SDEs for Functional Calibration","created":"2026-09-28","cited_by_count":0,"area":null},{"id":"2609.36314","title":"Fractional State Space Transition for Long Sequence Modeling","created":"2026-09-28","cited_by_count":0,"area":null}],"next_cursor":null}