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. Fisher Rank Inflation: A Spectral Signature of Memorization under Label Noise

    Jul 14, 2026Satwik Bathula, Anand A. JoshiFisher InformationNoisy Labels

  2. Gradient Flow Dynamics and Implicit Bias of Diagonal Linear Networks under Infinitesimal Initialization

    Jul 14, 2026Jiajie Zhao, Jianxing Wang, Junjie Yang +2Two-Layer Neural NetworksImplicit Bias

  3. GB-SVFBP: Gaussian-Based Shift-Variant FBP neural network

    Jul 13, 2026Chengze Ye, Linda-Sophie Schneider, Yipeng Sun +1Radial Basis FunctionTomography

  4. Random Label Prediction Heads for Studying Memorization in Deep Neural Networks

    Jul 13, 2026Marlon Becker, Jonas Konrad, Luis Garcia Rodriguez +1MemorizationNeural Network

  5. Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning

    Jul 13, 2026Hao Kong, Di Liu, Xiangzhong Luo +5Convolutional Neural NetworksNeural Network

  6. From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision Theory

    Jul 13, 2026Manli Yan, Yuebin Lin, Yaowen Yu +1Algorithm AuditingDecision Trees

  7. Implicit Neural Networks as Static Controllers: Certificates and Performance Separation

    Jul 13, 2026Giuseppe C. Calafiore, Laurent El GhaouiNeural ControlFeedback Linearization

  8. Multi-dimensional training-priority weighting based on physical information propagation paths: a unified residual-weighting framework for physics-informed neural networks

    Jul 13, 2026Zhangyi Lian, Xinda Dong, Wenxuan Huo +3Conventional Physics-Informed Neural NetworksNeural Network

  9. Singular perturbations and hierarchical learning in two-layer neural networks

    Jul 12, 2026Cédric Gerbelot, Jean-Christophe MourratTwo-Layer Neural NetworksDecision Thresholds

  10. Approximation of Analytic Functions by ReLU Neural Networks with Adjustable Depth and Width

    Jul 12, 2026Yanming Lai, Defeng Sun, Yang WangRectified Linear Unit NetworksNeural-Network Approximation

  11. Emergent Generalization by Representation Learning in Artificial Neural Networks

    Jul 11, 2026Hardik Rajpal, Dan GoodmanImplicit Neural RepresentationsNeural Network

  12. The Differential Neural Tangent Kernel and Its Positivity

    Jul 11, 2026Bangti Jin, Longjun WuNeural Tangent KernelConventional Physics-Informed Neural Networks

  13. Statistically Undetectable Backdoors in Deep Neural Networks

    Jul 10, 2026Andrej Bogdanov, Alon Rosen, Neekon VafaBackdoor AttacksAdversarial Examples

  14. All you need is SAMPAT

    Jul 10, 2026Jayadeva, Madhur AswaniModel InterpretabilityNeural Architectures

  15. Steering Neural Network Training through Interpretable Constraints Based on Partial Dependence

    Jul 9, 2026Yann Claes, Pierre Geurts, Vân Anh Huynh-ThuNeural NetworkMachine Learning

  16. Contravariance Theory: Strong Alignment for Minimal Solutions to Hard Tasks

    Jul 9, 2026Dan Yamins, Aran NayebiNeural NetworkHuman Brain Networks

  17. Beyond Backpropagation: Monte Carlo Method Can Train Deep Neural Networks

    Jul 9, 2026Hong ZhaoBackpropagationNeural Network

  18. Tubular Neighbourhoods of Pfaffian Sets and Applications to Neural Networks

    Jul 9, 2026Paul Lezeau, Martin LotzNeural NetworkNew Bounds

  19. A Graph Neural Network Model for Real-Time Gesture Recognition Based on sEMG Signals

    Jul 8, 2026Pragatheeswaran Vipulanandan, Kamal Premaratne, Manohar MurthiSurface ElectromyographyHand Gesture Recognition

  20. Explaining Near-Zero Hessian Eigenvalues Through Approximate Symmetries in Neural Networks

    Jul 8, 2026Marcel Kühn, Bernd RosenowCondition NumberDeep Network

  21. The Key to Going Linear: Analysis-Driven Transformer Linearization

    Jul 8, 2026Anna Kuzina, Paul N. Whatmough, Babak Ehteshami BejnordiTransformer ArchitecturesCausal Attention

  22. A law of robustness for two-layer neural networks with arbitrary weights

    Jul 8, 2026Yitzchak ShmaloTwo-Layer Neural NetworksLipschitz Constant

  23. An optimal control approach for neural network architecture adaptation with a posteriori error estimation

    Jul 8, 2026C G Krishnanunni, Thomas Scott, Tan Bui-ThanhNeural-Network ApproximationNeural Network Optimization

  24. Learning to Unify Deformable Shape and Texture Representations for Cardiac Video Classification

    Jul 8, 2026Tonmoy Hossain, Miaomiao ZhangCross-AttentionDeep Network

  25. Social-spatial dependencies for learning visual navigation

    Jul 8, 2026Patrick Govoni, Pawel RomanczukSocial DynamicsNavigation

  26. Reliable mechanistic operator recovery with biologically-informed neural networks: principles for architecture and optimisation design

    Jul 8, 2026Rebecca M. Crossley, Yuan Yin, Sarah L. Waters +1Neural OperatorsNeural Network

  27. Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning

    Jul 8, 2026Pranav Sawant, Jakub KrejčíMechanistic InterpretabilityExplainable Artificial Intelligence

  28. LiST: Lipschitz Scaling Training for Robust and Calibrated Neural Networks

    Jul 8, 2026Arthur Chiron, Franck Mamalet, Thomas Massena +2Lipschitz ConstantNeural Scaling Laws

  29. On the Principles of Deep Feedforward ReLU Networks

    Jul 8, 2026Changcun HuangRectified Linear Unit NetworksBackpropagation

  30. Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization

    Jul 8, 2026Shuo Huai, Di Liu, Hao Kong +4Nvidia Jetson Orin NanoLow-Latency Systems

  31. LEMUR 2: Unlocking Neural Network Diversity for AI

    Jul 7, 2026Tolgay Atinc Uzun, Waleed Khalid, Saif U Din +17Neural NetworkVr

  32. On Explicit Super-Expressive Approximation for Neural Networks

    Jul 7, 2026Feng-Lei Fan, Ze-Yu Li, Chen-Yu Wang +1Neural-Network ApproximationApproximation

  33. Hardware-aware Graph Neural Networks prunning for embedded event-based vision

    Jul 7, 2026Piotr Wzorek, Kamil Jeziorek, Tomasz KryjakGraph Neural NetworksHeterogeneous Pruning Scores

  34. A Hardware-Aware Open-Source Framework for Design Space Exploration of Mixed-Signal Spiking Neural Networks

    Jul 7, 2026Sayma Nowshin Chowdhury, Vineeta Nair, Taseen Forhad +3Spiking Neural NetworksNeuromorphic Hardware

  35. A Function-Space Dichotomy for Compositional Learning: Exponential Sub-Optimality of the Neural Tangent Kernel

    Jul 7, 2026Arkaprabha Ganguli, Emil ConstantinescuNeural Tangent KernelRectified Linear Unit Networks

  36. EeveeDark: A Binary Neural Framework for Low-Light Video Enhancement via Event-Guided Sensor-Level Fusion

    Jul 7, 2026Onur Eker, Erkut Erdem, Aykut ErdemLow-Light Image EnhancementBinarization

  37. Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift

    Jul 7, 2026Robin Holzinger, Riccardo CollettiNeural ArchitecturesConvolutional Neural Networks

  38. Width-Robust Learnability in Mean-Field Bayesian Neural Networks

    Jul 7, 2026Dmitry Vaintrob, Kaarel HänniBayesian Neural NetworksTwo-Layer Neural Networks

  39. DBNN: Neural Spike Classification Using a Deep Binarized Neural Network

    Jul 6, 2026Binyi Ren, Luca M. Meyer, Majid ZamaniSpiking Neural NetworksBinary Spikes

  40. Deep Neural Variation Spaces: A Unifying Perspective on Depth and Complexity

    Jul 6, 2026Julia Nakhleh, Robert D. NowakRectified Linear Unit NetworksDeep Network

  41. Black Hole Black Boxes: Numerical Black Hole Metrics via AInstein Neural Networks

    Jul 6, 2026Tancredi Schettini Gherardini, Edward Hirst, Alexander George StapletonBinary Black Hole MergersConventional Physics-Informed Neural Networks

  42. Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer

    Jul 6, 2026Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu +1Multi-Omic FrameworkModel Interpretability

  43. Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach

    Jul 6, 2026Qian Hu, Bin Fan, Yao Xiao +2Conventional Physics-Informed Neural NetworksAdvection-Reaction-Diffusion

  44. Privacy-Preserving Robustness Verification for Neural Networks

    Jul 6, 2026Nianyun Song, Xiaokun Luan, Yu Guo +3Neural Network VerificationPrivacy-Preserving Framework

  45. The Map Behind the Flow: Finite-Step Gradient Descent as a Dynamical System

    Jul 6, 2026Thomas HofmannGradient DescentWasserstein Gradient Flows

  46. Non-asymptotic Convergence of Stochastic Gradient Descent in Score-based Generative Models

    Jul 6, 2026Stanislas Strasman, Sobihan Surendran, Sylvain Le CorffStochastic Gradient DescentGenerative Models

  47. Lyapunov-Guided Training for Hardware-Safe Neural Networks Under Fixed-Point Arithmetic

    Jul 5, 2026Anis Hamadouche, Amir HussainLyapunov FunctionNeural Network

  48. Empirical Minimal-Realisation Compression of Deep Neural Networks via Controllability-Observability Tests

    Jul 5, 2026Anis Hamadouche, Amir HussainNeural NetworkContext Compression

  49. CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws

    Jul 5, 2026Adnan Harun Doğan, Mert Deniz, Hande Alemdar +1Computational Fluid DynamicConventional Physics-Informed Neural Networks

  50. Burst Spiking Neural Networks

    Jul 5, 2026Jiahong Zhang, Sijun Shen, Man Yao +5Spiking Neural NetworksNeural Network

  51. Broken Ergodicity and the Violation of the Fluctuation-Dissipation Theorem Lead to Generalization Beyond Overfitting in Machine Learning

    Jul 5, 2026Chan Li, Nigel GoldenfeldMean-Field LimitTwo-Layer Neural Networks

  52. LRX-PINN: A Layer-Resolving XNet Physics-Informed Neural Network with Integrated Cauchy Activations for Convection-Dominated Problems

    Jul 4, 2026Zihao Guo, Xin Li, Zhihong XiaConventional Physics-Informed Neural NetworksNeural Network

  53. Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse

    Jul 3, 2026Shuang Liang, Tom Jacobs, Guido MontúfarRectified Linear Unit NetworksStochastic Gradient Descent

  54. WeightCLIP: Aligning Datasets and Models for Weight Space Learning

    Jul 3, 2026Aron Asefaw, Konstantinos Tzevelekakis, Damian Falk +2Weight-SpaceWeight

  55. Scaffolding the Strategist: Architecture-Dependent Reasoning Interventions in Hotelling Spatial Markets

    Jul 3, 2026Pratyush SinghLarge Reasoning ModelsEconomies

  56. Rethinking Neural Nonlinearity as Gating

    Jul 3, 2026Muhammad Sabih, Frank Hannig, Jürgen TeichActivation FunctionsGated Recurrent Unit

  57. Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan HuberIterative Reinforcement LearningQuadrotor Control

  58. Graph Neural Networks for the Graphical Bootstrap

    Jul 3, 2026Rigers Aliaj, Gabriele Dian, Reza Doobary +1Graph Neural NetworksNeural Network

  59. A Spiking Sequence Generator for Polar Trajectories on Neuromorphic Hardware

    Jul 2, 2026William R. P. Nourse, Roger D. QuinnNeuromorphic HardwareNeural Control

  60. CodeJeNN: A simple C++ neural network generator for physics applications

    Jul 2, 2026Jay Arcities, Pavel Popov, Eric J Ching +2C++Cuda