Neural Network

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Period ending 2026-09-21

28 new papers

A weekly snapshot of new work published in Neural Network.

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. Solving the Elastic Wave Equation with Physics-Informed Neural Networks: A Robust and Critical Assessment

    Sep 7, 2026Davide Staub, Ben MoseleyConventional Physics-Informed Neural NetworksFull Waveform Inversion

  2. Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics

    Sep 7, 2026Hanwen Wang, Paris PerdikarisConventional Physics-Informed Neural NetworksPartial Differential Equations

  3. A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay

    Sep 7, 2026Yuqing Wang, Ioannis G. Kevrekidis, Mikhail BelkinGeneralization BoundsTwo-Layer Neural Networks

  4. Graph neural networks and the energetic cavity method for combinatorial optimization

    Sep 7, 2026Joe Bacchus George, George T. CantwellGraph Neural NetworksTwo-Dimensional Ising Model

  5. Weakly supervised neural network: segmentation of complex structures in X-ray microCT

    Sep 7, 2026Daniele Rusconi, Michela Ascolese, Stephanie Fest-Santini +2Weak SupervisionNeural Network

  6. IPGeoAI: Transformer-Based Geolocation with LLM Semantic Fusion

    Sep 7, 2026Avinash Kadimisetty, Andy Jinqing Yu, Philip Favaloro +2Image GeolocalizationGeometry-Aware Foundation Model

  7. Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields

    Sep 2, 2026Amir Mallak, Alaa Maalouf, Lior Wolf +2Neural FieldsNeural Tangent Kernel

  8. Evaluating Graph Neural Networks for Change-Criticality Classification in Maritime Navigation Charts

    Sep 2, 2026Abhishek Potnis, Jacob ArndtGraph Neural NetworksGeospatial

  9. Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial SrTiO3\mathrm{SrTiO_3} on Si memristors via Dynamic Spectral Optimization

    Sep 2, 2026Rodion Podorozhny, Nikoleta Theodoropoulou, Jelena TešićResistive Random Access MemoryConventional Physics-Informed Neural Networks

  10. Refining Heuristic-Based Bitcoin Address Clustering with Graph Neural Networks

    Sep 1, 2026Hugo Schnoering, Roman Bresson, Michalis VazirgiannisGraph Neural NetworksAnonymization

  11. Learning with Volterra Neural Networks: A System Theoretic Perspective

    Sep 1, 2026Haoyu Yun, Hamid Krim, Yufang BaoNeural Tangent KernelKernel Method

  12. Latent unified smooth Hamiltonians for excited state chemistry

    Sep 1, 2026David Juergens, Martin Stöhr, Andreas E. Hillers-Bendtsen +2Computational ChemistryMolecular Dynamics

  13. Improved Automatic Target Recognition in Synthetic Aperture Sonar Imagery Using Large Deep Neural Networks

    Sep 1, 2026C. J. Moore, Alex Hurt, Jordan MalofModern Deep NetworksState-Of-The-Art

  14. Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks

    Sep 1, 2026Jing Xiao, Xinhai Chen, Qinglin Wang +5Conventional Physics-Informed Neural NetworksNewton

  15. Edge-Girth as a Structural Edge Feature for Graph Neural Networks

    Sep 1, 2026Lilian Marey, Charlotte LaclauGraph Neural NetworksGraph Theory

  16. Predicting Subsurface Abnormalities Growth using Physics-Informed Neural Networks

    Sep 1, 2026Mehrdad Shafiei Dizaji, Hoda AzariConventional Physics-Informed Neural NetworksSub-Surface Mineral Prospectivity Modelling

  17. Subspace Levenberg Marquardt Algorithms in Training Neural Networks

    Sep 1, 2026M. Duc HoangNeural NetworkStochastic Gradient Descent

  18. Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures

    Sep 1, 2026Jaee Ponde, Roshni Agarwal, Subhashis BanerjeeNeural ArchitecturesSemantic Representations

  19. A Study of Hidden-State Optimization Order in Predictive Coding Networks

    Sep 1, 2026Xueyuan Li, Danilo Vasconcellos VargasPredictive CodingSingular Learning Theory

  20. Wave Function Backpropagation with Explicit Temporal-Interval Dynamics

    Sep 1, 2026Byunggu Yu, Justin KimBackpropagationWave

  21. A hybrid quantum-classical neural network for learning to route

    Aug 31, 2026Marcus Rolf Peter Ritt, Alexsandro Santos da Rosa Júnior, Marcos Vinicius Reballo +2Hybrid Quantum Neural NetworksQuantum Advantage

  22. AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials

    Aug 31, 2026Prajwal Ananth, Shuwen YueInteratomic PotentialsActive Learning

  23. Context Window Failures in Relational Foundation Models

    Aug 31, 2026Denis Oliveira Correa, Francisco Galuppo AzevedoRelationalTabular Foundation Models

  24. Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks

    Aug 31, 2026Isaac Malsky, Xi Zhang, Tiffany Kataria +5Exoplanet AtmospheresAtmospheric Dynamics

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

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

  26. Sharp Approximation Rates for Neural Networks with Affine Latent Parameterizations

    Aug 31, 2026Shijun ZhangNeural-Network ApproximationApproximation

  27. Implementing neural network mixed-effects models in Template Model Builder (TMB)

    Aug 31, 2026Nan Zheng, Hoi Yiu Cheung, Vibhu Sharma +2Logistic RegressionNeural Network

  28. Hard-ReLU Gradient Descent Selects an Event-Free Sensitivity Limit

    Aug 31, 2026Xiaoyang Li, Runni ZhouGradient FlowCurvature

  29. Functional Degeneracy in Neural Networks: Measurement and Pruning

    Aug 31, 2026Maria Matveev, Pascal Esser, Ayush Bharadwaj +2PruningNeural Network

  30. Tracing distinguishability through transformer processing with stochastic LayerNorm

    Aug 31, 2026Kieran MurphyTransformer ArchitecturesBatch Normalization

  31. MolLedger: An Additive Graph Neural Network with Chemically Grounded ADME Attributions

    Aug 31, 2026Christina X. JiMolecular Property PredictionDrug-Drug Interactions

  32. State of Health Estimation using Convolutional and Bidirectional LSTM Neural Networks tuned by Bayesian Optimization

    Aug 31, 2026Panagiotis Eleftheriadis, Foivos Georgios Kyrgios, Sonia LevaBidirectional Long Short-Term MemoryNeural Architectures

  33. TPR-Attention for Combinatorial Generalization

    Aug 31, 2026Melisa Civelekoğlu, Isabeau Prémont-SchwarzNeural ArchitecturesInductive Bias

  34. Every Layer Counts: An Exponential L2L_2 Depth Hierarchy for ReLU Networks

    Aug 24, 2026Itay SafranRectified Linear Unit NetworksRectified Linear Unit

  35. Activation-Keyed Momentum: An Anisotropic Momentum Update via the Delta Rule

    Aug 19, 2026Euijin Hong, Guannan QuDeep Network

  36. A concentration result for multilayer feedforward neural networks

    Aug 15, 2026Vera KoponenNeural NetworkMultilayer Perceptrons

  37. Neural Quadratic Forms: A Unified Minimal Model for Sudden Learning and Scaling Laws

    Aug 13, 2026Liu Ziyin, Yizhou Xu, Tomaso Poggio +1Two-Layer Neural NetworksPower-Law Distribution

  38. History-informed Lagrangian Neural Networks

    Aug 13, 2026Tianshuo Zhang, Xianglei Xing, Wenzhe Zhai +2Long-Horizon ForecastingLatent Dynamics

  39. Branch and Bound for Relational Verification of Neural Networks

    Aug 13, 2026Kota Fukuda, Zhenya Zhang, Guanqin Zhang +1Neural Network VerificationNeural Network

  40. Learning the Mathematical Property for Designing Low Mutual Coherence Binary Sensing Matrices

    Aug 13, 2026Rekha, Santosh Singh, S. K. NeogySparse RecoveryCoherence

  41. Comment on "Modeling rapid language learning by distilling Bayesian priors into artificial neural networks"

    Aug 13, 2026Orr Well, Idan Tarshish, Nur Lan +1Bayesian Neural NetworksBayesian

  42. Training Under Challenge: Executable Certificates and Challenge-Closed Optimality for Neural Networks

    Aug 12, 2026Farhang Yeganegi, Arian Eamaz, Mojtaba SoltanalianFinite-Sample CertificatesCertificates

  43. The Boolean Power of ReLU

    Aug 12, 2026Pablo Barceló, Floris Geerts, Matthias Lanzinger +2Rectified Linear UnitGraph Representations

  44. Predicting When Random Low-Dimensional Reparameterizations Train Neural Networks

    Aug 12, 2026Andrew Cheng, Ali Eslamian, Jie Cheng +2Neural Network3D Gaussian

  45. Regime-Gated Residual Mixture-of-Experts for Cross-Sectional Volatility Forecasting

    Aug 12, 2026Junyi Ye, Gargi Vijay BordeStochastic VolatilityHeteroskedasticity

  46. TESLA: Taylor Expansion of Sinusoidal Learnable Activations

    Aug 12, 2026Daehwa Ko, Jaehyeon Kim, Seunghyun Ham +1Activation FunctionsCoefficients

  47. Convergence Guarantees of Gradient Descent for Neural Networks via Generalized Lipschitz Smoothness

    Aug 11, 2026Siqiao Mu, Diego KlabjanLipschitz ConstantGradient Descent

  48. A Neural Network Based Teleoperation for Remote Controlled Vehicles

    Aug 11, 2026Ning Ding, Azim EskandarianVehicle DynamicsTeleoperation

  49. Accelerated Learning of High Dimensional Functions with a Tensor-Featured Training Network

    Aug 11, 2026Karl Pierce, Yuehaw Khoo, Haizhao YangHigh-Dimensional DataTensor Networks

  50. Neuroevolution Arena: Nested Ecological Evaluation of Update-and-Inheritance Regimes across Neural Architectures

    Aug 10, 2026Yuxu Ge, Yifei ChengNeural Architecture SearchNeural Cellular Automata

  51. SeFaR: Semantic Feature-aware Robustness Testing of Deep Neural Networks

    Aug 10, 2026Nusrat Jahan Mozumder, Divya Gopinath, Corina Pasareanu +1Robust PerceptionVision Foundation Models

  52. SeFoRA: Sketch-Aggregated Federated Low-Rank Adaptation with Heterogeneous Client Ranks

    Aug 10, 2026Yue Xia, Tayyebeh Jahani-Nezhad, Mayank Bakshi +1Low-Rank AdaptationNeural Network

  53. Input convex neural networks as surrogates in mathematical optimisation

    Aug 10, 2026Yu Liu, Jan Kronqvist, Fabricio OliveiraMixed-Integer ProgrammingConvex Sets

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

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

  55. Efficient Human-Contact Representation for Human-Scene Interaction

    Aug 10, 2026Nghia Vu, Tuong Do, Binh X. Nguyen +2Articulated ObjectsContact-Rich Manipulation

  56. Motif 3: Technical Report

    Aug 10, 2026Junghwan Lim, Joon Son Chung, Sungmin Lee +24Mixture-Of-Expert Language ModelsTechnical Report

  57. Approximation Rates for Metaplectic Neural Networks

    Aug 9, 2026Ahmed Abdeljawad, Marcello Carioni, Elena CorderoNeural-Network ApproximationQuantum Neural Networks

  58. SuperNeuroMAT: An Efficient Matrix-based Simulator for Spiking Neural Networks

    Aug 9, 2026Prasanna Date, Kevin Zhu, Shruti Kulkarni +12Spiking Neural NetworksNeuromorphic Hardware

  59. Tools to Explain Neural Networks for Power System Dynamics

    Aug 8, 2026Petros Ellinas, Johanna Vorwerk, Spyros ChatzivasileiadisPower SystemsNeural Network

  60. Uncertainty-Aware Ensemble Deep Randomized Neural Networks for Classification

    Aug 7, 2026M. Sajid, A. Quadir, A. Rahaman +2Random ForestEnsemble