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. SaluNet: Enabling Total Plasticity in Normalization-Free Deep Networks

    Jun 1, 2026Mourad ZaiedBatch NormalizationDeep Network

  2. Scalable Uncertainty Quantification for Extreme Weather Forecasting via Empirical Neural Tangent Kernels

    Jun 1, 2026Jose Marie Antonio Miñoza, Rex Gregor Laylo, Sebastian C. IbañezNumerical Weather PredictionReliable Uncertainty Quantification

  3. A Measurement-Driven Digital Twin Architecture for Plant-Level Biomass Estimation and Growth Forecasting in Hydroponic Systems

    Jun 1, 2026Morgan Mayborne, Abhisesh Silwal, George KantorMediterranean GreenhousesCognitive Digital Twins

  4. Do Value Vectors in Deep Layers Need Context from the Residual Stream?

    Jun 1, 2026Muyu He, Yuchen Liu, Qingya Huang +1Transformer ArchitecturesEfficient Long-Context Inference

  5. Theoretical Aspects of Lie Groupoid and Lie Algebroid Equivariant Convolutional Neural Networks

    Jun 1, 2026Michael AstwoodEquivariant Neural NetworksNeural Network

  6. Spectral Audit of In-Context Operator Networks

    Jun 1, 2026Zhiwei Gao, Liu Yang, George Em KarniadakisNeural OperatorsJacobian

  7. 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

  8. Ablating Archetypes: The Stability of Archetypal SAEs is an Artifact of Initialization and Metric Design

    Jun 1, 2026Michał Brzozowski, Neo Christopher ChungImproving Sparse AutoencodersUnsupervised Dictionary Learning

  9. Attention mechanisms and transfer learning for robust peach leaf damage classification under domain shift

    Jun 1, 2026Adrián Cánovas-Rodriguez, Miguel A. González-Illán, Maria Fernanda García-Cruz +5Tomato DiseasesImage Classification

  10. Sensitivity as a Double-Edged Sword: A Trade-off Between Discriminability and Adversarial Robustness

    Jun 1, 2026Kai WangAdversarial TransferabilityTime-Step-Wise Learnable Surrogate Gradient Function

  11. PINNOCHIO: Physics-Informed Neural Network for Coupled Hyperelastic Interface-Volume Simulation in Orthognathic Surgery

    Jun 1, 2026Jungwook Lee, Daeseung Kim, Kevin Gu +6Conventional Physics-Informed Neural NetworksFinite Element Method

  12. The Value of Spike Timing: A Leakage-Resistant Benchmark of SNN Design Choices for Network Intrusion Detection

    May 31, 2026Raj Patel, Shaswata Mitra, David Amebley +3Spiking Neural NetworksBinary Spikes

  13. Leaf Spectral Reflectance Prediction Using Multi-Head Attention Neural Networks

    May 31, 2026Parastoo Farajpoor, Alireza Pourreza, Mohammadreza Narimani +2Spectral ReflectanceCanopy

  14. Neural Network Compression by Approximate Differential Equivalence

    May 31, 2026Ravi Dhiman, Andrea Passarella, Mirco Tribastone +1Neural-Network ApproximationNeural Network

  15. Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture

    May 31, 2026Hoang Anh Nguyen, Divakar Vashisth, Ali TuraConventional Physics-Informed Neural NetworksHybrid Quantum Neural Networks

  16. Korzhinskii-Net: Physics-Informed Neural Network for Sub-Surface Mineral Prospectivity Modelling

    May 31, 2026Boris KriukSub-Surface Mineral Prospectivity ModellingLithology Classification

  17. Logit Distillation on Manifolds: Mapping by Learning

    May 30, 2026Yiru Yang, Junling Wang, Nishant Kumar Singh +2Model TrainingProgressive Distillation

  18. Graph Neural Networks for Predicting Solvability of Finite Groups

    May 30, 2026Tal WeissblatFinite GroupsGraph Neural Networks

  19. Normalized Relevance Measure as a Unifying Framework to Explain Neural Network Latent Structures

    May 30, 2026Ping Xiong, Thomas Schnake, Grégoire Montavon +2ExplainabilityExplainable Artificial Intelligence

  20. Balancing Learning Rates Across Layers: Exact Two-Step Dynamics and Optimal Scaling in Linear Neural Networks

    May 29, 2026Tianyu Pang, Vignesh Kothapalli, Shenyang Deng +3Learning RatesTwo-Layer Neural Networks

  21. Structured Neuron Pruning in Deep Neural Networks Using Multi-Armed Bandits

    May 29, 2026Salem Ameen, Sunil VaderaModern Deep NetworksHeterogeneous Pruning Scores

  22. When Softmax Fails at the Top: Extreme Value Corrections for InfoNCE

    May 29, 2026Melihcan Erol, Suat Evren, Oktay Ozel +3Contrastive LearningLearning-Augmented Algorithms

  23. 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

  24. 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

  25. Graph Neural Networks Are Not Continuous Across Graph Resolutions

    May 29, 2026Christian Koke, Yuesong Shen, Abhishek Saroha +4Graph Neural NetworksNeural Network

  26. Gradient Descent with Large Step Size Restores Symmetry in Deep Linear Networks with Multi-Pathway

    May 29, 2026Hee-Sung Kim, Sungyoon LeeDeep NetworkGradient Flow

  27. Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail

    May 29, 2026Konstantin Nikolaou, Jonas Scheunemann, Sven Krippendorf +2Scaling LawsNeural Tangent Kernel

  28. A holomorphic neural network framework for 3D boundary value problems governed by harmonic potentials

    May 29, 2026Enrico Ballini, Allan Peter Engsig-Karup, Tito AndriolloBoundary Value ProblemsIntegral

  29. Approximation and learning of anisotropic and mixed smooth functions by deep ReLU neural networks

    May 29, 2026Yunfei Yang, Jun FanLogarithmic Sobolev InequalitiesNeural-Network Approximation

  30. A2SG:Adaptive and Asymmetric Surrogate Gradients for Training Deep Spiking Neural Networks

    May 29, 2026Yechan Kang, Yongjin Kweon, Mingyeong Seo +8Spiking Neural NetworksTime-Step-Wise Learnable Surrogate Gradient Function

  31. Riemannian Diffusion Models on General Manifolds via Physics-Informed Neural Networks

    May 29, 2026Gyeonghoon Ko, Juho LeeConventional Physics-Informed Neural NetworksScore-Based Diffusion Model

  32. On Revisiting Entropy for Identifying Mislabeled Images

    May 29, 2026Chunlei Li, Zixuan Zheng, Yilei Shi +5Medical Imaging DatasetsDeep Network

  33. Annealed Softmax Greedy in Many-Armed Bayesian Bandits

    May 29, 2026William Overman, Mohsen BayatiEntropy Regularized Reinforcement LearningReinforcement Learning With Verifiable Reward

  34. Multi-Scale Separable Fourier Neural Networks for Solving High-Frequency PDEs

    May 29, 2026Qihong Yang, Qiaolin HeNeural Partial Differential Equation SolversPartial Differential Equations

  35. Augmented Lagrangian Predictive Coding

    May 29, 2026Jeffrey Seely, Julian GouldPredictive CodingDeep Network

  36. TASER: Task-Aware Stein Regularisation for Geometry-Driven Robustness

    May 28, 2026Michał Kozyra, Gesine ReinertRegularization TechniquesModern Deep Networks

  37. Automatically Differentiable Nonlinear Tensor Networks (ADNTNs) for Exponential Parameter Compression of Deep Neural Networks

    May 28, 2026Andrzej Cichocki, Michal WietczakTensor NetworksModern Deep Networks

  38. Can Subgraph Explanations Be Weaponized to Steal Graph Neural Networks?

    May 28, 2026Ojas Nimase, Jiate Li, Yue Zhao +1ExplainabilityGraph Representation Learning

  39. Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

    May 28, 2026Kellian Cottart, Théo Ballet, Djohan Bonnet +1Active LearningBayesian Neural Networks

  40. Quantifying and Optimizing Simplicity via Polynomial Representations

    May 28, 2026Tianren Zhang, Xiangxin Li, Minghao Xiao +2SimplificationPolynomials

  41. A Novel Tensor Product-Based Neural Network for Solving Partial Differential Equations

    May 28, 2026Qihong Yang, Yangtao Deng, Qiaolin He +1Neural Partial Differential Equation SolversPartial Differential Equation Benchmarks

  42. LLMs Without Deep Neural Networks: New Architecture, Benefits and Case Study

    May 28, 2026Vincent GranvilleModern Deep NetworksNeural Network

  43. KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs

    May 28, 2026Debopam Sanyal, Anantharaman Iyer, Alind Khare +5ImagenetFabric

  44. BIRDNet: Mining and Encoding Boolean Implication Knowledge Graphs as Interpretable Deep Neural Networks

    May 27, 2026Tirtharaj DashBiomedical Knowledge GraphBayesian Networks

  45. Expressive Power of Floating-Point Neural Networks with Arbitrary Reduction Orders and Inexact Activation Implementations

    May 27, 2026Yeachan Park, Geonho Hwang, Wonyeol Lee +1Floating-PointActivation Functions

  46. Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent

    May 27, 2026Guillaume Larue, Louis-Adrien Dufrène, Quentin Lampin +2Two-Layer Neural NetworksNeural Network

  47. PLS in the Mirror of Self-Attention

    May 27, 2026Jiangsheng, YouSoftmax AttentionLeast Squares

  48. A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks

    May 27, 2026Nicolas Tremblay, Benjamin Ricaud, Filippo Maria BianchiGraph Neural NetworksNeural Network

  49. Identifying Explicit Parsimonious Piece-wise Polynomial Relationships in Industrial time-series: Application to manipulator robots

    May 27, 2026Mazen Alamir, Sacha ClavelSystem IdentificationRobotic Arms

  50. T-GINEE: A Tensor-Based Multilayer Graph Representation Learning

    May 27, 2026Maolin Wang, Ziting Mai, Xuhui Chen +9Graph Neural NetworksComplex Networks

  51. Sparse POD Mode Selection and Manifold Dimensionality Reduction with Neural Networks

    May 26, 2026Tomoki Koike, Prakash Mohan, Marc T. Henry de Frahan +2Dimensionality ReductionShallow Water Equations

  52. When do complex-valued neural networks help? A study of representation, geometry, and optimization

    May 26, 2026Ashutosh KumarNeural NetworkFull Waveform Inversion

  53. How the Optimizer Shapes Learned Solutions in Equivariant Neural Networks

    May 26, 2026Teodor-Mihai Stupariu, Andrei ManolacheEquivariant Neural NetworksNeural Network Optimization

  54. Mildly Overparameterized ReLU Networks on Orthogonal Data: Incremental Learning and Implicit Bias

    May 26, 2026James Town, Etienne Boursier, Ben Lewis +2Rectified Linear Unit NetworksInterpolation

  55. Signal-to-Noise Ratio and Sample Size Govern Representational Alignment in Neural Networks

    May 26, 2026Ali Hussaini Umar, Alessandro LaioNeural NetworkSignal-To-Noise Ratio

  56. Comparative Analysis of Liquid Neural Networks and LSTM for Sequential Pattern Recognition: Robustness, Efficiency, and Clinical Utility

    May 26, 2026Ye Kyaw Thu, Thazin Myint Oo, Thepchai SupnithiNeural NetworkNeuromorphic Hardware

  57. More Expressive Feedforward Layers: Part I. Token-Adaptive Mixing of Activations

    May 26, 2026Mingze Wang, Jinbo Wang, Yikuan Xia +2Model ActivationsFeed-Forward Network

  58. Classification and detection of multiple UAVs using rational Gaussian wavelet neural networks

    May 25, 2026Ungvári Gergő, Ferenc Braun, Attila Ámon +4Unmanned Aerial Vehicle DetectionUncrewed Aerial Vehicles

  59. Dynamic Link Prediction with Temporally Enhanced Signed Graph Neural Networks

    May 25, 2026Derek Regier, Andrew Polyak, Aresh Dadlani +1Temporal Graph Neural NetworksZero-Shot Link Prediction

  60. Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks

    May 25, 2026Zhishuai Guo, Wenhan Wu, Chen Chen +3Federated Graph LearningGraph Neural Networks