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. Shared-kernel Wavelet Neural Networks for Poisson Image Reconstruction

    Apr 27, 2026Yuanhao Gong, Tan Tang, Qianyan LiuImage ReconstructionDiscrete Wavelet Transform

  2. Adaptive-Distribution Randomized Neural Networks for PDEs: A Low-Dimensional Distribution-Learning Framework

    Apr 27, 2026You Yang, Fei WangNeural Partial Differential Equation SolversPartial Differential Equations

  3. Generalization Bounds of Spiking Neural Networks via Rademacher Complexity

    Apr 26, 2026Shao-Qun Zhang, Zhi-Hua ZhouSpiking Neural NetworksNeural Network

  4. Crystal Fractional Graph Neural Network for Energy Prediction of High-Entropy Alloys

    Apr 26, 2026Takanori Kotama, Yang HuangFirst-Principles CalculationCrystal

  5. Quasi-Equivariant Metanetworks

    Apr 26, 2026Viet-Hoang Tran, An Nguyen, Benoît Guérand +2Equivariant Neural NetworksNeural Architectures

  6. Can an MLP Absorb Its Own Skip Connection?

    Apr 26, 2026Antonij Mijoski, Marko KarbevskiResidual ConnectionsRectified Linear Unit

  7. Hardware-Efficient FPGA Implementation of Sigmoid Function Using Mixed-Radix Hyperbolic Rotation CORDIC

    Apr 26, 2026Chintan Panchal, Ankur Changela, Mohendra RoyField-Programmable Gate ArraysActivation Functions

  8. When Does Removing LayerNorm Help? Activation Bounding as a Regime-Dependent Implicit Regularizer

    Apr 25, 2026Lucky VermaBatch NormalizationActivation Functions

  9. MetaErr: Towards Predicting Error Patterns in Deep Neural Networks

    Apr 25, 2026Varun Totakura, Shayok ChakrabortyDeep LearningReward-Prediction Error

  10. Explicit integral representations and quantitative bounds for two-layer ReLU networks

    Apr 25, 2026Anthony LeeRectified Linear Unit NetworksRectified Linear Unit

  11. Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression

    Apr 25, 2026Chakshu Gupta, Theodore J. LaGrowSymbolic RegressionNeural Architectures

  12. A Layer Separation Optimization Framework for Cross-Entropy Training in Deep Learning

    Apr 25, 2026Yaru Liu, Michael K. Ng, Yiqi GuCross-Entropy LossesNeural Network Optimization

  13. Tessera: Secure, Near-Line-Rate Weight Streaming for UMA Edge Accelerators

    Apr 25, 2026Animan NaskarSparse Deep Neural Network AcceleratorsHomomorphic Encryption

  14. Efficient VQ-QAT and Mixed Vector/Linear quantized Neural Networks

    Apr 25, 2026Terry Gou, Puneet GuptaCalibration-Free Low-Bit Vector QuantizationContext Compression

  15. Liquid Neural Network Models for Natural Gas Spot Price Time-Series Forecasting

    Apr 24, 2026Yiqian Liu, Jiayi Niu, Adam Kelleher +1Electricity Price ForecastingElectricity Markets

  16. Collocation-based Robust Physics Informed Neural Networks for time-dependent simulations of pollution propagation under thermal inversion conditions on Spitsbergen

    Apr 24, 2026Leszek Siwik, Maciej Sikora, Natalia Leszczyńska +7Advection-Reaction-DiffusionConventional Physics-Informed Neural Networks

  17. Relaxation-Informed Training of Neural Network Surrogate Models

    Apr 24, 2026Calvin TsayTime-Step-Wise Learnable Surrogate Gradient FunctionRectified Linear Unit Networks

  18. Useful nonrobust features are ubiquitous in biomedical images

    Apr 24, 2026Coenraad Mouton, Randle Rabe, Niklas C. Koser +4Medical Image ClassificationMedical Imaging

  19. On the Properties of Feature Attribution for Supervised Contrastive Learning

    Apr 24, 2026Leonardo Arrighi, Julia Eva Belloni, Aurélie Gallet +3Contrastive LearningTraining Data Attribution

  20. Revisiting Neural Activation Coverage for Uncertainty Estimation

    Apr 24, 2026Benedikt Franke, Nils Förster, Frank Köster +3Bayesian Neural NetworksOut-Of-Distribution Detection

  21. A Brain-Inspired Deep Separation Network for Single Channel Raman Spectra Unmixing

    Apr 24, 2026Gaoruishu Long, Jinchao Liu, Bo Liu +2RamanHyperspectral Unmixing

  22. ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping

    Apr 24, 2026Huifan Zhang, Yun Hu, Caizhi Sheng +2Neural NetworkDomain Shift

  23. LTBs-KAN: Linear-Time B-splines Kolmogorov-Arnold Networks

    Apr 23, 2026Eduardo Said Merin-Martinez, Andres Mendez-Vazquez, Eduardo Rodriguez-TelloKolmogorov-Arnold NetworksNeural Architectures

  24. L-System Genetic Encoding for Scalable Neural Network Evolution: A Comparison with Direct Matrix Encoding

    Apr 23, 2026Alexander Stuy, Nodin WeddingtonNeural NetworkEvolution

  25. Geometric Monomial (GEM): a family of rational 2N-differentiable activation functions

    Apr 23, 2026Eylon E. KrauseActivation FunctionsHybrid Transformer

  26. Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation

    Apr 23, 2026Jingyang Li, Xin Chen, Hongfei Fu +1Neural Network VerificationBayesian Neural Networks

  27. Gauge-Equivariant Graph Neural Networks for Lattice Gauge Theories

    Apr 22, 2026Ali Rayat, Yaohang Li, Gia-Wei ChernEffective Field TheoryGauge

  28. QuanForge: A Mutation Testing Framework for Quantum Neural Networks

    Apr 22, 2026Minqi Shao, Shangzhou Xia, Jianjun ZhaoQuantum Neural NetworksQuantum Computing

  29. Too Sharp, Too Sure: When Calibration Follows Curvature

    Apr 22, 2026Alessandro Morosini, Matea Gjika, Tomaso Poggio +1Sharpness-Aware MinimizationCurvature

  30. An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling

    Apr 22, 2026Anif N. Shikder, Ramit Dey, Sayantan Auddy +6State Space ModelsSequence Modeling

  31. Robustness of Spatio-temporal Graph Neural Networks for Fault Location in Partially Observable Distribution Grids

    Apr 22, 2026Burak Karabulut, Carlo Manna, Chris DevelderTemporal Graph Neural NetworksGraph Neural Networks

  32. Quantization robustness from dense representations of sparse functions in high-capacity kernel associative memory

    Apr 22, 2026Akira TamamoriHopfield NetworksQuantization

  33. Sheaf Neural Networks on SPD Manifolds: Second-Order Geometric Representation Learning

    Apr 22, 2026Yuhan Peng, Junwen Dong, Yuzhi Zeng +6SheafGraph Neural Networks

  34. Layer-wise Geometric Approximation Rates for Deep Networks

    Apr 22, 2026Shijun Zhang, Zuowei Shen, Yuesheng XuNeural-Network ApproximationDeep Network

  35. Phase Transitions in the Fluctuations of Functionals of Random Neural Networks

    Apr 21, 2026Simmaco Di Lillo, Leonardo Maini, Domenico MarinucciCentral Limit TheoremAsymptotics

  36. HardNet++: Nonlinear Constraint Enforcement in Neural Networks

    Apr 21, 2026Andrea Goertzen, Kaveh Alim, Youngjae Min +1Inequality ConstraintsStructural Constraints

  37. Silicon Aware Neural Networks

    Apr 21, 2026Sebastian Fieldhouse, Kea-Tiong TangDifferentiable Logic Gate NetworksAnd Mixed-Signal Circuits

  38. Towards a Systematic Risk Assessment of Deep Neural Network Limitations in Autonomous Driving Perception

    Apr 21, 2026Svetlana Pavlitska, Christopher Gerking, J. Marius ZöllnerAutonomous DrivingHazard

  39. The Logical Expressiveness of Topological Neural Networks

    Apr 21, 2026Amirreza Akbari, Amauri H. Souza, Vikas GargGraph Neural NetworksPropositions

  40. Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning

    Apr 21, 2026Xin Ning, Qiankun Li, Xiaolong Huang +5Neural Network OptimizationDeep Learning

  41. Quantum inspired qubit qutrit neural networks for real time financial forecasting

    Apr 20, 2026Kanishk Bakshi, Kathiravan SrinivasanQuantum Neural NetworksQuantum Approximate Optimization Algorithm

  42. The Cost of Relaxation: Evaluating the Error in Convex Neural Network Verification

    Apr 20, 2026Merkouris Papamichail, Konstantinos Varsos, Giorgos Flouris +1Neural Network VerificationConvex Sets

  43. Physics-Informed Neural Networks for Biological 2D+t2\mathrm{D}{+}t Reaction-Diffusion Systems

    Apr 20, 2026William Lavery, Jodie A. Cochrane, Christian Olesen +3Conventional Physics-Informed Neural NetworksNeural Network

  44. LiquidTAD: Efficient Temporal Action Detection via Parallel Liquid-Inspired Temporal Relaxation

    Apr 20, 2026Zepeng Sun, Naichuan Zheng, Hailun Xia +3Temporal Action LocalizationTemporal Deep Learning Framework

  45. Incremental learning for audio classification with Hebbian Deep Neural Networks

    Apr 20, 2026Riccardo Casciotti, Francesco De Santis, Alberto Antonietti +1Domain Incremental LearningContinual Learning Methods

  46. Domain-Specialized Object Detection via Model-Level Mixtures of Experts

    Apr 20, 2026Svetlana Pavlitska, Malte Stüven, Beyza Keskin +1Object DetectionMixtures

  47. Style-Based Neural Architectures for Real-Time Weather Classification

    Apr 20, 2026Hamed Ouattara, Pascal Houssam Salmane, Pierre Duthon +2Image ClassificationConvolutional Neural Networks

  48. Semantic-based Distributed Learning for Diverse and Discriminative Representations

    Apr 20, 2026Zhuojun Tian, Chaouki Ben Issaid, Mehdi BennisDistributional LearningRepresentation Learning

  49. Virtual boundary integral neural network for three-dimensional exterior acoustic problems

    Apr 19, 2026Jiahao Li, Qiang Xi, Ilia Marchevskiy +1Boundary Value ProblemsAcoustic

  50. Towards Deep Encrypted Training: Low-Latency, Memory-Efficient, and High-Throughput Inference for Privacy-Preserving Neural Networks

    Apr 18, 2026Nges Brian Njungle, Eric Jahns, Michel A. KinsyHomomorphic EncryptionGraph Neural Network Inference

  51. Scalable Quantum Error Mitigation with Physically Informed Graph Neural Networks

    Apr 18, 2026Huaxin Wang, Xinge Wu, Jiajun Liu +4Quantum Error CorrectionQuantum Circuit Simulation

  52. Data-Driven Variational Basis Learning Beyond Neural Networks: A Non-Neural Framework for Adaptive Basis Discovery

    Apr 17, 2026Andrew KirulutaUnsupervised Dictionary LearningCoefficients

  53. Multilevel neural networks with dual-stage feature fusion for human activity recognition

    Apr 17, 2026Abeer FathAllah Brery, Ascensión Gallardo-Antolín, Israel Gonzalez-Carrasco +1Human Activity RecognitionNeural Network

  54. Combining Convolution and Delay Learning in Recurrent Spiking Neural Networks

    Apr 17, 2026Lúcio Folly Sanches Zebendo, Eleonora Cicciarella, Michele RossiSpiking Neural NetworksRecurrent Neural Networks

  55. Modern Structure-Aware Simplicial Spatiotemporal Neural Network

    Apr 17, 2026Zhaobo Hu, Vincent Gauthier, Mehdi NaimaTemporal Graph Neural NetworksSpatiotemporal

  56. A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States

    Apr 17, 2026Daran Sun, Bowen Kan, Haoquan Long +13Quantum Neural NetworksMany-Body Physics

  57. Collective Kernel EFT for Pre-activation ResNets

    Apr 17, 2026Hidetoshi Kawase, Toshihiro OtaResidual ConnectionsRenormalization Group

  58. Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks

    Apr 17, 2026Hyeongmeen Baik, Hamed Poursiami, Maryam Parsa +1Neuromorphic HardwareNeural Network

  59. Physics-Informed Neural Networks with Learnable Loss Balancing and Transfer Learning

    Apr 17, 2026Reza PirayeshshirazinezhadConventional Physics-Informed Neural NetworksTransfer Learning

  60. Green-ELM: Efficient Analytic Learning via High-Dimensional Random Projections

    Apr 17, 2026Wladimir SilvaNeural ArchitecturesManifold Learning Method