Neural Network

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Neural ArchitecturesActivation FunctionsDeep NetworkTwo-Layer Neural NetworksRectified Linear Unit NetworksNeural Tangent KernelModern Deep NetworksRectified Linear Unit

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Period ending 2026-09-21

15 new papers

A weekly snapshot of new work published in Neural Network.

Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Neural Network.

Period ending 2026-09-07

16 new papers

A weekly snapshot of new work published in Neural Network.

657 papers

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  1. TNLearn: An Open Source Python Package for Task-based Neurons

    Sep 23, 2026Meng Wang, Tieyun Li, Juntong Fan +5Neural Network

  2. Exploring Solver-Level Warmstarting for Neural Network Verification

    Sep 22, 2026Annelot Bosman, Minghao Liu, Marta Kwiatkowska +2Neural Network VerificationNeural Solvers

  3. Training Neural Networks to Approach the Optimum Bayes Estimator in Dense Multi-Emitter Localization

    Sep 17, 2026Yi Sun, Mona Sharifi, Muzna YummanBayesian Neural NetworksExpectation-Maximization

  4. Position Paper: Neurotransmitters as a Missing Dimension in Artificial Neural Networks

    Sep 17, 2026Yupei Li, Manuel Milling, Berrak Sisman +1Synaptic PlasticityNeural Network

  5. Error bounds in Sobolev norms for approximations with norm constrained ReLU neural networks

    Sep 17, 2026Xianjun Li, Yunfei YangLogarithmic Sobolev InequalitiesRectified Linear Unit Networks

  6. Learning to Program Adaptive Non-Local Observables for Machine Learning

    Sep 16, 2026Yu-Ting Lee, Samuel Yen-Chi Chen, Huan-Hsin TsengQuantum Neural NetworksVariational Quantum Circuits

  7. ReDIL-GNN: Resynthesis Domain Incremental Learning for Circuit Graph Neural Networks

    Sep 16, 2026Rupesh Raj Karn, Johann Knechtel, Ozgur SinanogluDifferentiable Logic Gate NetworksGnn-Based Detectors

  8. Graph neural networks for exoplanet atmospheres

    Sep 15, 2026Antonia Vojtekova, Kai Hou Yip, Ingo P. Waldmann +4Exoplanet AtmospheresAtmospheric Dynamics

  9. Hybrid coupling with numerics-informed neural networks and the overlapping Schwarz alternating method

    Sep 15, 2026George Chumbipuma, Irina Tezaur, Alejandro Diaz +1Advection-Reaction-DiffusionNewton

  10. NObSP: Functional Decomposition of Neural Networks via Oblique Subspace Projections

    Sep 15, 2026Alexander Caicedo, Víctor De La Hoz, Santiago AlférezTraining Data AttributionNeural Network

  11. Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification

    Sep 15, 2026Luis Rodrigues, Zachary Yetman Van Egmond, Mohammad R. Amiri FardLeast SquaresSystem Identification

  12. Lecture notes on Physics Informed Neural Networks, Neural Operators, and their applications

    Sep 15, 2026Alessandro BombiniConventional Physics-Informed Neural NetworksFourier Neural Operators

  13. Channel-Informed Neural Network for Physical Layer Key Generation

    Sep 14, 2026Jose Angel Sanchez Viloria, George Sklivanitis, Dimitris Pados +1Open Radio Access NetworksNeural Network

  14. Approximating Smooth Functionals with ReLU Networks

    Sep 14, 2026Shuhao JiaoNeural-Network ApproximationRectified Linear Unit

  15. Physics Informed Neural Network model for the dynamical study of Abdominal Aortic Aneurysm

    Sep 14, 2026Adrián Robles Arques, Martín Ruiz Fernandez, Javier Sanchis +2Conventional Physics-Informed Neural NetworksComputational Fluid Dynamic

  16. Neural-Network Solutions to Real-Space Charge Density and Generalization

    Sep 14, 2026Yuxuan Zeng, Taoyuze Lv, Zhicheng ZhongDensity Functional TheoryLarge-Scale Electronic Structure Calculations

  17. Proximal-Only Transmission Matrix Recovery of an Arbitrarily Deformed Graded-Index Multimode Fiber

    Sep 14, 2026Cole ReynoldsTransmissionNeural Network

  18. Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations

    Sep 12, 2026Heinrich Jiang, Hager Yasser Mohamed, Alexander Hitt +3Computer-Aided DesignBoundaries

  19. Physics-Informed Neural Networks to Infer the Perpendicular Energy Conductivity in the Scrape-Off Layer of Stellarator Devices

    Sep 12, 2026J. Gallego (Departamento de Tecnología, CIEMAT, Spain) +23Conventional Physics-Informed Neural NetworksPlasma Shape Control

  20. X-RACE: XAI-assisted Recurrent neural network Attribution for Channel Estimation

    Sep 12, 2026Abdul Karim Gizzini, Yahia MedjahdiJoint Channel EstimationBidirectional Long Short-Term Memory

  21. SCINTILLA-SNN: A Spiking Multi-Scale Selective Aggregation Network for Perineural Invasion Prediction

    Sep 11, 2026Youngung Han, Yului Jeong, Kyeonghun Kim +11Spiking Neural NetworksCholangiocarcinoma

  22. Polyhedral Geometry of Time-to-First-Spike Neural Networks

    Sep 11, 2026Manjot Singh, Guido Montúfar, Gitta KutyniokSpiking Neural NetworksBinary Spikes

  23. Teacher Geometry Shapes Learnability in Teacher-Student Networks

    Sep 10, 2026Kai J. Sandbrink, Flavio Martinelli, Alexander van Meegen +2Teacher-Student Log-Probability GapTwo-Layer Neural Networks

  24. Gradland: On Phenomenal Experience, Differentiated Across Many Dimensions

    Sep 10, 2026David BalduzziJacobianExperience

  25. A variational physics-informed graph neural network for heterogeneous solid mechanics

    Sep 10, 2026Aashay Rajan Yadav, Amiya Prakash Das, Ratna Kumar AnnabattulaConventional Physics-Informed Neural NetworksFinite Element Method

  26. SynCo: Synthetic Community-Aware Attributed Graph Generator for Graph Neural Network Benchmarking

    Sep 9, 2026Guilherme Henrique Messias, Mariana Caravanti de Souza, Sylvia Iasulaitis +1Text-Attributed GraphGraph Neural Networks

  27. Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs

    Sep 9, 2026Saurabh Sihag, Andrea Cavallo, Elvin Isufi +2Covariance EstimationNeural Network

  28. Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation

    Sep 9, 2026Sudaksh Kalra, Dolly SapraReal-Time InferenceNeural Network

  29. Robust Industrial Cyber Physical Classification Using Neuromorphic Temporal Embeddings and Hybrid SNN XGBoost Under Machine Unlearning Attacks

    Sep 9, 2026Ammar Kamoona, Sajad Koushkbaghi, Mahdi Jalili +2Attack DetectionCyber-Physical System

  30. Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks

    Sep 8, 2026Xiaoyu Li, Zhizhou Sha, Jiaojiao Jiang +2Rectified Linear Unit NetworksConcentration Inequalities

  31. Selective boundary condition reduction via learned error gating

    Sep 8, 2026Daniel Fernández, Dominik Penk, Dominik RiedelbauchProblem-Dependent Artificial Boundary ConditionsNeural Network

  32. zScore-N: A Neural Network for On-Chain Wallet Reputation Scoring

    Sep 8, 2026Girish G N, Ashutosh Sahoo, Akshay SP +2Decentralized FinanceReputation

  33. 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

  34. 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

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

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

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

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

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

    Sep 2, 2026Abhishek Potnis, Jacob ArndtGraph Neural NetworksGeospatial

  38. 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

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

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

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

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

  41. 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

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

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

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

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

  44. Subspace Levenberg Marquardt Algorithms in Training Neural Networks

    Sep 1, 2026M. Duc HoangNeural NetworkStochastic Gradient Descent

  45. 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

  46. Accelerating Chemical Kinetics for Exoplanet Atmospheres using Neural Networks

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

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

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

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

    Aug 31, 2026Shijun ZhangNeural-Network ApproximationApproximation

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

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

  50. Functional Degeneracy in Neural Networks: Measurement and Pruning

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

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

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

  52. A concentration result for multilayer feedforward neural networks

    Aug 15, 2026Vera KoponenNeural NetworkMultilayer Perceptrons

  53. History-informed Lagrangian Neural Networks

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

  54. Branch and Bound for Relational Verification of Neural Networks

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

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

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

  56. 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

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

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

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

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

  59. A Neural Network Based Teleoperation for Remote Controlled Vehicles

    Aug 11, 2026Ning Ding, Azim EskandarianVehicle DynamicsTeleoperation

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

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