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.

658 papers

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  1. Similarity of Neural Network Representations in Superposition

    Mar 31, 2026Sunny Liu, Habon Issa, André Longon +4Implicit Neural RepresentationsLatent Representation Alignment

  2. The Rules-and-Facts Model for Simultaneous Generalization and Memorization in Neural Networks

    Mar 26, 2026Gabriele Farné, Fabrizio Boncoraglio, Lenka ZdeborováMemorizationSingular Learning Theory

  3. Amortized Inference for Correlated Discrete Choice Models via Equivariant Neural Networks

    Mar 25, 2026Easton Huch, Michael KeaneDiscrete Choice ModelsMaximum Likelihood

  4. Latency Coding for Efficient and Low-Latency Deep Spiking Neural Networks

    Mar 24, 2026Yi Lu, Jianhao Ding, Zhaofei YuSpiking Neural NetworksBinary Spikes

  5. Asymptotic Learning Curves for Diffusion Models with Random Features Score and Manifold Data

    Mar 24, 2026Anand Jerry George, Nicolas MacrisScore-Based Diffusion ModelLow-Dimensional Structure

  6. From Arithmetic to Logic: The Resilience of Logic and Lookup-Based Neural Networks Under Parameter Bit-Flips

    Mar 24, 2026Alan T. L. Bacellar, Sathvik Chemudupati, Shashank Nag +4Neural NetworkNeural Architectures

  7. SDE-Driven Spatio-Temporal Hypergraph Neural Networks for Irregular Longitudinal fMRI Connectome Modeling in Alzheimer's Disease

    Mar 20, 2026Ruiying Chen, Yutong Wang, Houliang Zhou +3AlzheimerNeural Ordinary Differential Equations

  8. WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network

    Mar 19, 2026Haotian Lu, Jincong Lu, Sachin Sachdeva +1Graph Neural NetworksChip Design

  9. Variational Phasor Circuits for Phase-Native Brain-Computer Interface Classification

    Mar 18, 2026Dibakar SigdelBrain-Computer InterfaceNeural Network

  10. Evidential Perfusion Physics-Informed Neural Networks with Residual Uncertainty Quantification

    Mar 10, 2026Junhyeok Lee, Minseo Choi, Han Jang +5Conventional Physics-Informed Neural NetworksStroke

  11. MUSA-PINN: Multi-scale Weak-form Physics-Informed Neural Networks for Fluid Flow in Complex Geometries

    Mar 9, 2026Weizheng Zhang, Xunjie Xie, Hao Pan +4Conventional Physics-Informed Neural NetworksFluid Dynamics

  12. Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results

    Mar 3, 2026Alberto Miño Calero, Luis Salamanca, Konstantinos E. TatsisConventional Physics-Informed Neural NetworksNeural Network

  13. Generating adversarial inputs for a graph neural network model of AC power flow

    Feb 20, 2026Robert ParkerAc Optimal Power FlowNeural Network Verification

  14. Learning functional components of PDEs from data using neural networks

    Feb 13, 2026Torkel E. Loman, Yurij Salmaniw, Antonio Leon Villares +2Partial Differential EquationsNeural-Network Approximation

  15. Rational Neural Networks have Expressivity Advantages

    Feb 12, 2026Maosen Tang, Alex TownsendActivation FunctionsNeural Network

  16. Efficient reduction of stellar contamination and noise in planetary transmission spectra using neural networks

    Feb 10, 2026David S. Duque-Castaño, Lauren Flor-Torres, Jorge I. ZuluagaExoplanet AtmospheresAtmospheric Dynamics

  17. Perturbing the Phase: Analyzing Adversarial Robustness of Complex-Valued Neural Networks

    Feb 6, 2026Florian Eilers, Christof Duhme, Xiaoyi JiangNeural Network VerificationNeural Network

  18. Neural Particle Automata: Learning Self-Organizing Particle Dynamics

    Jan 22, 2026Hyunsoo Kim, Ehsan Pajouheshgar, Sabine Süsstrunk +2Neural Cellular AutomataPhysical Dynamics

  19. Linearized subspace refinement framework to expose hidden accuracy in trained neural networks

    Jan 20, 2026Wenbo Cao, Weiwei ZhangLeast SquaresNeural Network

  20. Graph Neural Networks are Heuristics

    Jan 19, 2026Yimeng Min, Carla P. GomesGraph Neural NetworksCombinatorial Optimization

  21. Adaptively trained Physics-informed Radial Basis Function Neural Networks for Solving Multi-asset Option Pricing Problems

    Jan 19, 2026Yan Ma, Yumeng Ren, Elisabeth LarssonDerivative PricingConventional Physics-Informed Neural Networks

  22. Deep Neural Networks as Discrete Dynamical Systems: Implications for Physics-Informed Learning

    Jan 1, 2026Abhisek Ganguly, Santosh Ansumali, Sauro SucciConventional Physics-Informed Neural NetworksNeural Partial Differential Equation Solvers

  23. Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization

    Nov 26, 2025William De Deyn, Michael Herty, Giovanni SamaeyNeural Network OptimizationTwo-Layer Neural Networks

  24. Addressing A Posteriori Performance Degradation in Neural Network Subgrid Stress Models

    Nov 21, 2025Andy Wu, Sanjiva K. LeleShallow Water EquationsNeural Network

  25. Beyond One-Size-Fits-All: Neural Networks for Differentially Private Tabular Data Synthesis

    Nov 17, 2025Kai Chen, Chen Gong, Tianhao WangSynthetic Tabular DataDifferential Privacy

  26. Can Stationary Distributions of Scale-Invariant Neural Networks Be Described by the Thermodynamics of an Ideal Gas?

    Nov 10, 2025Ildus Sadrtdinov, Ekaterina Lobacheva, Ivan Klimov +3Stochastic Gradient DescentThermodynamics

  27. Physics-Informed Neural Networks for Speech Production

    Nov 1, 2025Kazuya Yokota, Ryosuke Harakawa, Masaaki Baba +1Conventional Physics-Informed Neural NetworksVocalizations

  28. SmartMixed: A Two-Phase Training Strategy for Adaptive Activation Function Learning in Neural Networks

    Oct 25, 2025Amin OmidvarActivation FunctionsNeural Network

  29. Estimating Orbital Parameters of Direct Imaging Exoplanet Using Neural Network

    Oct 20, 2025Bo Liang, Hanlin Song, Chang Liu +9Exoplanet AtmospheresNear-Earth Objects

  30. Deep Neural Networks Inspired by Differential Equations

    Oct 9, 2025Yongshuai Liu, Lianfang Wang, Kuilin Qin +6Neural Ordinary Differential EquationsNeural Network

  31. RF-Informed Graph Neural Networks for Accurate and Data-Efficient Circuit Performance Prediction

    Aug 22, 2025Anahita Asadi, Leonid Popryho, Inna Partin-VaisbandAnd Mixed-Signal CircuitsRadio Frequency

  32. One Shot vs. Iterative: Rethinking Pruning Strategies for Model Compression

    Aug 19, 2025Mikołaj Janusz, Tomasz Wojnar, Yawei Li +2Heterogeneous Pruning ScoresPruning

  33. Neural Logic Networks for Interpretable Classification

    Aug 11, 2025Vincent Perreault, Katsumi Inoue, Richard Labib +1Differentiable Logic Gate NetworksNeural Network

  34. Dynamical stability for dense patterns in attractor neural networks

    Jul 14, 2025Uri Cohen, Máté LengyelSynaptic PlasticityRecurrent Neural Networks

  35. Effects of relational graph modularity and depth on the learning performance of neural networks

    Jul 14, 2025Yash Arya, Sang Hoon LeeComplex NetworksNeural Network

  36. Understanding Two-Layer Neural Networks with Smooth Activation Functions

    Jul 11, 2025Changcun HuangTwo-Layer Neural NetworksActivation Functions

  37. PERTINENCE: Input-based Opportunistic Neural Network Dynamic Execution

    Jul 2, 2025Omkar Shende, Gayathri Ananthanarayanan, Marcello TraiolaGraph Neural Network InferenceNeural Network

  38. Stochastic Quantum Spiking Neural Networks with Quantum Memory and Local Learning

    Jun 26, 2025Jiechen Chen, Bipin Rajendran, Osvaldo SimeoneQuantum Neural NetworksSpiking Neural Networks

  39. DPG loss functions for learning parameter-to-solution maps by neural networks

    Jun 23, 2025Pablo Cortés Castillo, Wolfgang Dahmen, Jay GopalakrishnanPartial Differential EquationsBayesian Quadrature

  40. Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

    May 26, 2025Safa Hamreras, Sukhbinder Singh, Román OrúsTensor NetworksNeural Network

  41. Sigma-Delta Neural Network Conversion on Loihi 2

    May 9, 2025Matthew Brehove, Sadia Anjum Tumpa, Espoir Kyubwa +2Neuromorphic HardwareBinary Spikes

  42. A Theoretical Analysis of Provable Compositional Generalization in Neural Networks: A Necessary and Sufficient Condition

    May 5, 2025Yuanpeng LiStructural GeneralizationNeural Network

  43. Deep learning with missing data

    Apr 21, 2025Tianyi Ma, Tengyao Wang, Richard J. SamworthImputationNonparametric

  44. FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks

    Apr 9, 2025Or Feldman, Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb +2Temporal Graph Neural NetworksZero-Shot Link Prediction

  45. Hyperflux: Pruning Reveals Importance

    Apr 6, 2025Eugen Barbulescu, Antonio Alexoaie, Lucian BusoniuHeterogeneous Pruning ScoresPruning

  46. Traffic Engineering in Large-scale Networks with Generalizable Graph Neural Networks

    Mar 31, 2025Fangtong Zhou, Xiaorui Liu, Ruozhou Yu +1Accurate Traffic ForecastingTemporal Graph Neural Networks

  47. Learning Constraints-Based Adaptive Hypergraph Neural Networks for Solving Vehicle Routing Problems

    Mar 13, 2025Zhenwei Wang, Tiehua Zhang, Jing Liu +3Vehicle Routing ProblemCombinatorial Optimization

  48. Fourier Multi-Component and Multi-Layer Neural Networks: Unlocking High-Frequency Potential

    Feb 26, 2025Shijun Zhang, Hongkai Zhao, Yimin Zhong +1Two-Layer Neural NetworksNeural Network

  49. Perforated Backpropagation: A Neuroscience Inspired Extension to Artificial Neural Networks

    Jan 29, 2025Rorry Brenner, Laurent IttiBackpropagationNeural Network

  50. Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications

    Jan 28, 2025Hanju Yoo, Dongha Choi, Yonghwi Kim +4Semantic CommunicationsWireless Networks

  51. Network Dynamics-Based Framework for Understanding Deep Neural Networks

    Jan 5, 2025Yuchen Lin, Yong Zhang, Sihan Feng +1Learning DynamicsNeural Network

  52. Koopman-informed recurrent neural networks

    Oct 30, 2024Erik Lien Bolager, Ana Čukarska, Iryna Burak +2Recurrent Neural NetworksKoopman Operator

  53. Generation of Uncertainty-Aware High-Level Spatial Concepts in Factorized 3D Scene Graphs via Graph Neural Networks

    Sep 18, 2024Jose Andres Millan-Romera, Muhammad Shaheer, Miguel Fernandez-Cortizas +33D Scene GraphsOrb-Slam2

  54. A Generalization Bound for Nearly-Linear Networks

    Jul 9, 2024Eugene GolikovGeneralization BoundsNeural Network

  55. Over-parameterization and Adversarial Robustness in Neural Networks: An Overview and Empirical Analysis

    Jun 14, 2024Srishti Gupta, Zhang Chen, Luca Demetrio +9Over-Parameterized Neural NetworksNeural Network

  56. A Computational Tropical Geometry Framework for Neural Networks

    May 30, 2024Paul Lezeau, Thomas Walker, Yueqi Cao +2Neural NetworkRepresentation Space

  57. Adversarial Rademacher Complexity of Deep Neural Networks

    Nov 27, 2022Jiancong Xiao, Yanbo Fan, Ruoyu Sun +1Adversarial TrainingGeneralization Bounds

  58. Theory of the Frequency Principle for General Deep Neural Networks

    Jun 21, 2019Tao Luo, Zheng Ma, Zhi-Qin John Xu +1Modern Deep NetworksNeural Network