Neural Network

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Period ending 2026-09-21

28 new papers

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Period ending 2026-09-14

26 new papers

A weekly snapshot of new work published in Neural Network.

Period ending 2026-09-07

27 new papers

A weekly snapshot of new work published in Neural Network.

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  1. Universality in Deep Neural Networks: An approach via the Lindeberg exchange principle

    May 4, 2026Filippo Giovagnini, Sotirios Kotitsas, Marco RomitoInfinite-Width Gaussian LimitActivation Functions

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

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

  3. Universal Smoothness via Bernstein Polynomials: A Constructive Approximation Approach for Activation Functions

    May 4, 2026Wentao Zhang, Yutong Zhang, Yifan Zhu +1Activation FunctionsSmoothing

  4. Low-Latency Embedded Driver Monitoring System with a Multi-Task Neural Network

    May 4, 2026Carmelo Scribano, Giovanni Cappelletti, Elia Giacobazzi +3Mobilenetv2Spatial Attention

  5. KANs need curvature: penalties for compositional smoothness

    May 4, 2026James BagrowKolmogorov-Arnold NetworksCurvature

  6. Geometric and Spectral Alignment for Deep Neural Network II

    May 4, 2026Ziran Liu, Wei Wang, Jinhao Wang +5JacobianResidual Connections

  7. A PyTorch Library of Turing-Complete Neural Networks

    May 3, 2026Jonathan BatesPytorchNeural Network

  8. NeuroViz: Real-time Interactive Visualization of Forward and Backward Passes in Neural Network Training

    May 3, 2026Tanvi Sharma, Reza RawassizadehVisual AnalyticsNeural Network

  9. Training Non-Differentiable Networks via Optimal Transport

    May 3, 2026An T. LeGradient-Based OptimizationBackpropagation

  10. Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction

    May 3, 2026G. Victor Daniela, A. Mallikarjuna Reddya, Uday Kumar Addankia +2Federated Graph LearningGnn-Based Detectors

  11. Neural Decision-Propagation for Answer Set Programming

    May 3, 2026Thomas Eiter, Katsumi Inoue, Sota MoriyamaNeuro-Symbolic FrameworkAnswer Set Programming

  12. Floating-Point Networks with Automatic Differentiation Can Represent Almost All Floating-Point Functions and Their Gradients

    May 3, 2026Sejun Park, Yeachan Park, Geonho HwangFloating-PointActivation Functions

  13. From Cortical Synchronous Rhythm to Brain Inspired Learning Mechanism: An Oscillatory Spiking Neural Network with Time-Delayed Coordination

    May 3, 2026Tingting Dan, Guorong WuBio-Inspired FrameworkOscillatory Dynamics

  14. Exact Loop Controllers for ReLU Realization of Homogeneous Curve Refinements

    May 3, 2026Boldsaikhan Bolorkhuu, Tsogtgerel GantumurRectified Linear UnitCurves

  15. Congestion-Aware Dynamic Axonal Delay for Spiking Neural Networks

    May 2, 2026Dewei Bai, Hongxiang Peng, Yunyun Zeng +2Spiking Neural NetworksBinary Spikes

  16. A Theory of Saddle Escape in Deep Nonlinear Networks

    May 2, 2026Divit Rawal, Michael R. DeWeeseDeep NetworkLoss Landscape

  17. A Theory of Generalization in Deep Learning

    May 2, 2026Elon Litman, Gabe GuoNeural Tangent KernelOver-Parameterized Neural Networks

  18. Topological Neural Tangent Kernel

    May 1, 2026Sanjukta KrishnagopalGraph Neural NetworksNeural Tangent Kernel

  19. Dendritic Neural Networks with Equilibrium Propagation

    May 1, 2026Yoshimasa KuboBackpropagationNeural Network

  20. Batch Normalization for Neural Networks on Complex Domains

    May 1, 2026Xuan Son Nguyen, Nistor GrozavuBatch NormalizationNeural Network

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

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

  22. Adaptive Norm-Based Regularization for Neural Networks

    Apr 30, 2026Muhammad Qasim, Farrukh JavedRegularization TechniquesLasso

  23. NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures

    Apr 30, 2026Muhammad Ihsan Al Hafiz, Artur PodobasSpiking Neural NetworksField-Programmable Gate Arrays

  24. Physical Foundation Models: Fixed hardware implementations of large-scale neural networks

    Apr 30, 2026Logan G Wright, Tianyu Wang, Tatsuhiro Onodera +1Wireless Foundation ModelsFoundation Model

  25. Machine Unlearning for Class Removal through SISA-based Deep Neural Network Architectures

    Apr 30, 2026Ishrak Hamim Mahi, Siam Ferdous, Md Sakib Sadman Badhon +4Machine UnlearningSeveral Approximate Unlearning Strategies

  26. Data-Efficient Indentation Size Effect Correction in Steels Using Machine Learning and Physics-Constrained Neural Network

    Apr 30, 2026Radmir Karamov, Tagir KaramovPorous MediaHard

  27. Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval

    Apr 29, 2026Arne Eichholtz, Yongkang Li, Jutte Vijverberg +2Retrieval LayerEncoding Models

  28. Multiple Additive Neural Networks for Structured and Unstructured Data

    Apr 29, 2026Janis Mohr, Jörg FrochteConvolutional Neural NetworksNeural Network

  29. Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics

    Apr 29, 2026Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank +2Safety FiltersModel Predictive Control

  30. Evolutionary feature selection for spiking neural network pattern classifiers

    Apr 29, 2026Michal Valko, Nuno C. Marques, Marco CastelaniSpiking Neural NetworksNeural Network

  31. ModTGCN: Modularity-aware Graph Neural Networks for Text Classification

    Apr 29, 2026Rajarshi Misra, Aditya Sharma, Vinti Agarwal +1Graph Foundation ModelGraph Neural Networks

  32. Autonomous LLM Agents & CTFs: A Second Look

    Apr 29, 2026Youness Bouchari, Matteo Boffa, Marco Mellia +3Language Model Evasion AttacksLarge Language Model Agents

  33. Binary Spiking Neural Networks as Causal Models

    Apr 29, 2026Aditya Kar, Emiliano Lorini, Timothée MasquelierSpiking Neural NetworksExplainability

  34. EdgeSpike: Spiking Neural Networks for Low-Power Autonomous Sensing in Edge IoT Architectures

    Apr 29, 2026Gustav Olaf Yunus Laitinen-Fredriksson Lundstrom-Imanov, Taner YilmazSpiking Neural NetworksNeuromorphic Hardware

  35. Compositional Meta-Learning for Mitigating Task Heterogeneity in Physics-Informed Neural Networks

    Apr 29, 2026Beomchul Park, Minsu Koh, Heejo Kong +1Conventional Physics-Informed Neural NetworksPartial Differential Equation Benchmarks

  36. A Light Weight Multi-Features-View Convolution Neural Network For Plant Disease Identification

    Apr 28, 2026Muhammad Kaleem Ullah KhanTomato DiseasesImage Classification

  37. Momentum-Conserving Graph Neural Networks for Deformable Objects

    Apr 28, 2026Jiahong Wang, Logan Numerow, Stelian Coros +3Graph Neural NetworksDeformable Objects

  38. Verification of Neural Networks (Lecture Notes)

    Apr 28, 2026Benedikt BolligNeural Network VerificationFeed-Forward Network

  39. On Halting vs Converging in Recurrent Graph Neural Networks

    Apr 28, 2026Jeroen Bollen, Stijn VansummerenGraph Neural NetworksRectified Linear Unit Networks

  40. QFlash: Bridging Quantization and Memory Efficiency in Vision Transformer Attention

    Apr 28, 2026Sehyeon Oh, Yongin Kwon, Jemin LeeQuadratic AttentionQuantization

  41. Adversarial Robustness of NTK Neural Networks

    Apr 28, 2026Yuxuan HouNeural Tangent KernelNeural Network

  42. Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking

    Apr 28, 2026Yongzhong XuFeature LearningGrokking

  43. ShapeY: A Principled Framework for Measuring Shape Recognition Capacity via Nearest-Neighbor Matching

    Apr 27, 2026Jong Woo Nam, Amanda S. Rios, Bartlett W. MelStatistical Shape ModelDeep Network

  44. A New Kind of Network? Review and Reference Implementation of Neural Cellular Automata

    Apr 27, 2026Martin Spitznagel, Janis KeuperNeural Cellular AutomataNeural Network

  45. Analysis and Explainability of LLMs Via Evolutionary Methods

    Apr 27, 2026Shannon K. Gallagher, Swati Rallapalli, Tyler Brooks +3Phylogenetic TreesLineages

  46. Transformer Approximations from ReLUs

    Apr 27, 2026Jerry Yao-Chieh Hu, Mingcheng Lu, Yi-Chen Lee +1Gumbel-Softmax RelaxationRectified Linear Unit

  47. Contextual Linear Activation Steering of Language Models

    Apr 27, 2026Brandon Hsu, Daniel Beaglehole, Adityanarayanan Radhakrishnan +1Activation SteeringActivation Functions

  48. A Functorial Formulation of Neighborhood Aggregating Deep Learning

    Apr 27, 2026Sun Woo Park, Yun Young Choi, U Jin Choi +1SheafNeural Network

  49. Cortex-Inspired Continual Learning: Unsupervised Instantiation and Recovery of Functional Task Networks

    Apr 27, 2026Kevin McKee, Thomas Hazy, Yicong Zheng +2Efficient Continual LearningDeep Network

  50. Fraud Detection in Cryptocurrency Markets with Spatio-Temporal Graph Neural Networks

    Apr 27, 2026Lidia Losavio, Luca Persia, Madan Sathe +1Decentralized FinanceGeneralist Graph Anomaly Detection

  51. BandRouteNet: An Adaptive Band Routing Neural Network for EEG Artifact Removal

    Apr 27, 2026Phat LamElectrocorticographyMetal Artifact Reduction

  52. On the explainability of max-plus neural networks

    Apr 27, 2026Ikhlas Enaieh, Olivier Fercoq, García ÁngelExplainabilityNeural Network

  53. Complexity of Linear Regions in Self-supervised Deep ReLU Networks

    Apr 27, 2026Mufhumudzi Muthivhi, Terence L. van ZylSelf-SupervisedRectified Linear Unit

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

    Apr 27, 2026Olivier BournezRecursionRectified Linear Unit

  55. New non-Euclidean neural quantum states from additional types of hyperbolic recurrent neural networks

    Apr 27, 2026H. L. DaoQuantum Neural NetworksMany-Body Physics

  56. Monocular Depth Estimation via Neural Network with Learnable Algebraic Group and Ring Structures

    Apr 27, 2026Qianlei Wang, Kexun Chen, Shaolin Zhang +3Monocular Depth EstimationGeometric Deep Learning

  57. Generative Design of a Gas Turbine Combustor Using Invertible Neural Networks

    Apr 27, 2026Patrick Krüger, Hanno Gottschalk, Werner Krebs +1Gas Turbine CombustorCombustion Control

  58. Self-Abstraction Learning for Effective and Stable Training of Deep Neural Networks

    Apr 27, 2026Wonyong Cho, Taemin Kim, Jungmin Kim +2Neural NetworkTrainability

  59. A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks

    Apr 27, 2026Grigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos TserpesModern Deep NetworksEdge Computing

  60. A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws

    Apr 27, 2026Jun Shu, Junxiong Jia, Deyu Meng +1EmergenceFoundation Model