Neural Network

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Weekly history

Recent digests

What was published in this field, kept on the site without email delivery.

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.

Inside this field

Focused directions

1,083 papers

Latest in Neural Network

Browse all topics →
CardsList

  1. The Alexander-Hirschowitz theorem for neurovarieties

    Nov 24, 2025A. Massarenti, M. MellaTwo-Layer Neural NetworksIdentifiability

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

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

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

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

  4. 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

  5. Automatic Extraction of Road Networks by using Teacher-Student Adaptive Structural Deep Belief Network and Its Application to Landslide Disaster

    Nov 4, 2025Shin Kamada, Takumi IchimuraLandslidesLane Geometry

  6. Physics-Informed Neural Networks for Speech Production

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

  7. Nonlinear Dynamics In Optimization Landscape of Shallow Neural Networks with Tunable Leaky ReLU

    Oct 29, 2025Jingzhou LiuTwo-Layer Neural NetworksRectified Linear Unit

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

    Oct 25, 2025Amin OmidvarActivation FunctionsNeural Network

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

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

  10. DFNN: A Deep Fréchet Neural Network Framework for Learning Metric-Space-Valued Responses

    Oct 20, 2025Kyum Kim, Yaqing Chen, Paromita DubeyNeural-Network ApproximationDeep Network

  11. Deep Neural Networks Inspired by Differential Equations

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

  12. Performance-Efficiency Tradeoffs in Transformers: An Approximation Theory Perspective

    Oct 4, 2025Ruoxi Yu, Haotian Jiang, Jingpu Cheng +3Transformer ArchitecturesActivation Functions

  13. Learning Multi-Index Models with Hyper-Kernel Ridge Regression

    Oct 2, 2025Shuo Huang, Hippolyte Labarrière, Ernesto De Vito +2Kernel Ridge RegressionDeep Network

  14. Parameterized Hardness of Zonotope Containment and Neural Network Verification

    Sep 26, 2025Vincent Froese, Moritz Grillo, Christoph Hertrich +1Neural Network VerificationRectified Linear Unit Networks

  15. Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks for the Poisson Equation

    Aug 29, 2025Bangti Jin, Longjun WuConventional Physics-Informed Neural NetworksStochastic Gradient Descent

  16. 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

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

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

  18. Neural Logic Networks for Interpretable Classification

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

  19. Dynamical stability for dense patterns in attractor neural networks

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

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

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

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

    Jul 11, 2025Changcun HuangTwo-Layer Neural NetworksActivation Functions

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

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

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

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

  24. Near-optimal estimates for the ℓp\ell^p-Lipschitz constants of deep random ReLU neural networks

    Jun 24, 2025Sjoerd Dirksen, Patrick Finke, Paul Geuchen +2Rectified Linear Unit NetworksLipschitz Constant

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

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

  26. SG-Blend: Learning an Interpolation Between Improved Swish and GELU for Robust Neural Representations

    May 29, 2025Gaurav Sarkar, Syed Affan Daimi, Jay Gala +1Activation FunctionsSharpness-Aware Minimization

  27. Favorability of Loss Landscape with Weight Decay Requires Both Large Overparametrization and Initialization

    May 28, 2025Etienne Boursier, Matthew Bowditch, Matthias Englert +1Loss LandscapeOver-Parameterized Neural Networks

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

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

  29. SEAL: Searching Expandable Architectures for Incremental Learning

    May 15, 2025Matteo Gambella, Manuel RoveriDomain Incremental LearningNeural Architecture Search

  30. Towards Understanding Deep Learning Model in Image Recognition via Coverage Test

    May 12, 2025Wenkai Li, Xiaoqi Li, Yingjie Mao +1Modern Deep NetworksDeep Learning

  31. Sigma-Delta Neural Network Conversion on Loihi 2

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

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

    May 5, 2025Yuanpeng LiStructural GeneralizationNeural Network

  33. The Dynamics of Generalization in Deep Learning

    Apr 23, 2025Rubing Yang, Pratik ChaudhariOver-Parameterized Neural NetworksGradient Descent

  34. Deep learning with missing data

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

  35. 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

  36. Hyperflux: Pruning Reveals Importance

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

  37. R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks

    Apr 1, 2025Nicholas H. Barbara, Ruigang Wang, Ian R. ManchesterRecurrent Neural NetworksDeep Network

  38. 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

  39. A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA

    Mar 28, 2025Wenji Fang, Jing Wang, Yao Lu +4Electronic Design AutomationWireless Foundation Models

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

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

  41. 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

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

    Jan 29, 2025Rorry Brenner, Laurent IttiBackpropagationNeural Network

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

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

  44. Derivation of effective gradient flow equations and dynamical truncation of training data in Deep Learning

    Jan 13, 2025Thomas ChenGradient DescentWasserstein Gradient Flows

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

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

  46. Koopman-informed recurrent neural networks

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

  47. 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

  48. Mitigating the Stability-Plasticity Dilemma in Adaptive Train Scheduling with Curriculum-Driven Continual DQN Expansion

    Aug 19, 2024Achref Jaziri, Etienne Künzel, Visvanathan RameshEfficient Continual LearningContinual Learning Methods

  49. A Generalization Bound for Nearly-Linear Networks

    Jul 9, 2024Eugene GolikovGeneralization BoundsNeural Network

  50. 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

  51. A Computational Tropical Geometry Framework for Neural Networks

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

  52. Large and Deep Factor Models

    Jan 20, 2024Bryan Kelly, Boris Kuznetsov, Semyon Malamud +1Neural Tangent KernelExploratory Factor Analysis

  53. Understanding Deep Representation Learning via Layerwise Feature Compression and Discrimination

    Nov 6, 2023Peng Wang, Xiao Li, Can Yaras +4Feature LearningDeep Network

  54. Spintronics for image recognition: performance benchmarking via data-driven simulations

    Aug 10, 2023Anatole Moureaux, Chloé Chopin, Simon de Wergifosse +2MnistMagnetic Tunnel Junction

  55. Deep Network Approximation: Beyond ReLU to Diverse Activation Functions

    Jul 13, 2023Shijun Zhang, Jianfeng Lu, Hongkai ZhaoActivation FunctionsRectified Linear Unit Networks

  56. InferNet: Exploiting Aggregate GPU Profiles as Side-Channel for DNN Architecture Inference

    Apr 6, 2023Raja Hasnain Anwar, Jonah O'Brien Weiss, Tiago Alves +1Graph Neural Network InferenceNeural Architectures

  57. Adversarial Rademacher Complexity of Deep Neural Networks

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

  58. MetaMax: Improved Open-Set Deep Neural Networks via Weibull Calibration

    Nov 20, 2022Zongyao Lyu, Nolan B. Gutierrez, William J. BeksiOpen-Set RecognitionModern Deep Networks

  59. A Functional-Space Mean-Field Theory of Partially-Trained Three-Layer Neural Networks

    Oct 28, 2022Zhengdao Chen, Eric Vanden-Eijnden, Joan BrunaTwo-Layer Neural NetworksMean-Field Limit

  60. Universality of empirical risk minimization

    Feb 17, 2022Andrea Montanari, Basil SaeedEmpirical Risk MinimizationNeural Tangent Kernel