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. Adaptive Hard-Soft Physics-Informed Neural Networks for Robust Boundary-Constrained PDE Solving

    Jun 22, 2026Duc Tien Nguyen, Trinh Minh Tuan, Nguyen Duc Manh +2Conventional Physics-Informed Neural NetworksPartial Differential Equation Benchmarks

  2. SOAP-Bubbles: Structured Weight Uncertainty for Neural Networks

    Jun 22, 2026Adrian Robert Minut, Nico Daheim, Marco Miani +3VariationalDeep Learning

  3. Neuromorphic Speech Enhancement with Dual-Branch Spiking Neural Networks

    Jun 22, 2026Taiyu Meng, Wenbin Jiang, Haoyi Zhang +2Spiking Neural NetworksSpeech Enhancement

  4. Neural Operator Processes for Probabilistic Operator Learning under Partial Observations

    Jun 22, 2026Jose Miguel Lara-Rangel, Serge GuillasProbabilistic Operator LearningNeural Operators

  5. Hybrid Compression: Integrating Pruning and Quantization for Optimized Neural Networks

    Jun 22, 2026Minh-Loi Nguyen, Long-Bao Nguyen, Van-Hieu Huynh +2Graph Neural Network InferenceMixed-Precision Quantization

  6. A Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA

    Jun 21, 2026Yancheng Zhou, Hanle Zheng, Lei Deng +1Multi-Object TrackingNeural Control

  7. Low-power analogue neural networks with trainable nonlinear connections for continuous control

    Jun 21, 2026Ian T. Vidamour, Fernando Aguirre, Thomas J. Hayward +13AnalogNeural Network

  8. Multigrid Training for Molecular Generation using Graph Neural Networks

    Jun 21, 2026Zixuan Ling, Paula Mercurio, Di LiuMolecular GenerationVariational Autoencoder

  9. Early-Exit Graph Neural Networks for Link Prediction

    Jun 20, 2026Roman Knyazhitskiy, Andrea Giuseppe Di FrancescoZero-Shot Link PredictionGraph Neural Networks

  10. Accurate identification and measurement of the precipitate area by two-stage deep neural networks in novel chromium-based alloys

    Jun 20, 2026Zeyu Xia, Kan Ma, Sibo Cheng +7Porous MediaObject Detection

  11. A Completion-Aware Framework for Impactful Counterfactual Explainability in Graph Neural Networks

    Jun 20, 2026Maria Myrto Villia, Filippos Gouidis, Theodore Patkos +1Counterfactual ExplanationGraph Neural Networks

  12. What Do Neural Networks Learn for TDOA Estimation? A Cross-Architecture Probing Study

    Jun 20, 2026Yaozhong Kang, Jiang Wang, Runwu Shi +3Frequency-Aware Structural AggregationUltra-Wideband

  13. Cohort Organized Learning: Clustering Through Agreement

    Jun 19, 2026Finn Henry O'Shea, Maria Elena MonzaniImage ClusteringExpectation-Maximization

  14. Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling

    Jun 19, 2026Matthew Marsh, Benoit Chachuat, Antonio del Rio ChanonaInequality ConstraintsChemical Process Systems

  15. Physics-Informed Neural Networks for Computing the Morse Index of the Critical Catenoid

    Jun 19, 2026Miraj SamarakkodyConventional Physics-Informed Neural NetworksBoundary Value Problems

  16. Targeted Recovery of Weight-Space Mechanisms From Neural Networks

    Jun 19, 2026Antoine Vigouroux, Lee SharkeyNeural NetworkWeight-Space

  17. Soliton-like Waves in a Two-Dimensional Recurrent Spiking Neural Network with Weighted Spike-Timing-Dependent Plasticity

    Jun 19, 2026Ch. MeessenSpike-Timing-Dependent PlasticitySpiking Neural Networks

  18. Entropy Estimation in Multi-Qutrit Systems via Variational and Classical Neural Networks

    Jun 18, 2026Sai Sakunthala Guddanti, Anil Prabhakar, Ria Rushin JosephQuantum Neural NetworksVariational Quantum Circuits

  19. Fast Human Attention Prediction for Fixation-guided Active Perception in Autonomous Navigation

    Jun 18, 2026Fatma Youssef Mohammed, Grzegorz Malczyk, Kostas AlexisViewpoint-Dependent Active PerceptionAutonomous Navigation

  20. Agentic Symbolic Search: Characterizing PDEs Beyond Hand-crafted Expressions, Meshes, and Neural Networks

    Jun 18, 2026Zongmin Yu, Liu YangPartial Differential Equation BenchmarksPartial Differential Equations

  21. SSH-Net: A Deep Neural Network for Predicting Failure Time Distribution Functions under Competing Risks with Application to GPU Data

    Jun 18, 2026Jie Min, Yueyao Wang, Mengkun ChenTime-To-Event DataEarly Failure Prediction

  22. Evolutionary Two-Stage Hyperparameter Optimization Strategies for Physics-Informed Neural Networks

    Jun 18, 2026Fedor Buzaev, Dmitry Efremenko, Egor Bugaev +4Conventional Physics-Informed Neural NetworksHyperparameter Optimization

  23. Neural network surrogates with uncertainty quantification for inverse problems in partial differential equations

    Jun 18, 2026Christian Jimenez-Beltran, Aretha L. Teckentrup, Antonio Vergari +1Inverse ProblemPartial Differential Equations

  24. Recurrent neural networks approximate continuous functions

    Jun 18, 2026Valentin Abadie, Clemens Hutter, Helmut BölcskeiNeural-Network ApproximationRecurrent Neural Networks

  25. Modularity-Free Conflict-Averse Training for Generalized PINNs

    Jun 18, 2026Heejo Kong, Beomchul Park, Sung-Jin Kim +1Conventional Physics-Informed Neural NetworksPartial Differential Equation Benchmarks

  26. Structure-Oriented Randomized Neural Networks for Poisson-Nernst-Planck and Poisson-Nernst-Planck-Navier-Stokes Systems

    Jun 18, 2026Yunlong Li, Fei WangShallow Water EquationsNeural Network

  27. A fast direct solver based neural network for solving PDEs

    Jun 18, 2026Jashwanth Reddy Kadaru, Vaishnavi GujjulaNeural Partial Differential Equation SolversPartial Differential Equations

  28. Physics-Informed Neural Network with Squeeze-Excitation-like Attention

    Jun 18, 2026Yun-Fei Song, Long-Gang Pang, Fu-Peng Li +1Conventional Physics-Informed Neural NetworksNeural Network

  29. Efficient Neural Network Model Selection for Few-Class Application Datasets

    Jun 18, 2026Bryan Bo Cao, Abhinav Sharma, Lawrence O'Gorman +2Yolov8-Nano ModelModel Selection

  30. Acceleration of an algebraic multigrid pressure solver using graph neural networks

    Jun 17, 2026Eric Chillón, Artur K. Lidtke, Nguyen Anh Khoa Doan +1Shallow Water EquationsGraph Neural Networks

  31. Constant Time-Delay Leader Following with Neural Networks and Invariant Extended Kalman Filters for Arbitrary Trajectories

    Jun 17, 2026Luka Antonyshyn, Paulo Ricardo Marques de Araujo, Sidney GivigiTrajectory PredictionExtended Kalman Filter

  32. Invertible Neural Network Adapter for One-Step Flow Matching in Robot Manipulation

    Jun 17, 2026Yu Zhang, Kangyi Ji, Yongxiang Zou +3Flow-Matching Vision-Language-ActionNext Activity Prediction

  33. Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening

    Jun 17, 2026Kasper Helverskov Petersen, François R J Cornet, Martin Ovesen +3Graph Neural NetworksSpectra

  34. Adaptive Speech-to-Spike Encoding for Spiking Neural Networks

    Jun 17, 2026Taharim Rahman Anon, Jakaria Islam EmonSpiking Neural NetworksSpeech Encoder

  35. Some Complexity Results for Robustness Verification for Binarized Neural Networks

    Jun 17, 2026Harshit Goyal, Sudakshina DuttaNeural Network VerificationBinarization

  36. Domain-Shift Aware Neural Networks for Unbalance Characterization in Rotating Systems

    Jun 17, 2026Bernardo Feijó Junqueira, Claudio Kiyoshi Umezu, Bruno Bilhar Karaziack +2Xr Vision AcceleratorsNeural Network

  37. A Convex Quasilinearization Method for Solving Nonlinear PDEs with Physics-Informed Neural Networks

    Jun 16, 2026Gbenga T. Awojinrin, Abdul-Akeem Olawoyin, Rami M. YounisConventional Physics-Informed Neural NetworksPartial Differential Equations

  38. Geometrical fairness in graph neural networks

    Jun 16, 2026Arturo Pérez-Peralta, Sandra Benítez-Peña, Blas Kolic +1Fairness-Aware LearningGraph Neural Networks

  39. Physics-Constrained Neural Networks for Improved Short-Term Weather Forecasting: A Case Study over the South Pacific

    Jun 16, 2026Egor Bugaev, Fedor Buzaev, Dmitry Efremenko +2Numerical Weather PredictionArtificial Intelligence Weather Models

  40. A Link between Shock-wave Theory and Symmetry-reduced Stochastic Gradient Descent for Artificial Neural Networks

    Jun 16, 2026Taiki MiyagawaTwo-Layer Neural NetworksStochastic Gradient Descent

  41. Sobolev Approximation by Fixed-Size Neural Networks with Arbitrary Accuracy

    Jun 15, 2026Baicheng Li, Haizhao Yang, Shijun ZhangNeural-Network ApproximationLogarithmic Sobolev Inequalities

  42. Multi-Modal Spatio-Temporal Graph Neural Network with Mixture of Experts for Soil Organic Carbon Prediction

    Jun 15, 2026Daniele Mos, Felipe Drummond, Anton Bossenbroek +1Soil Moisture EstimationSoil

  43. TNODEV: Toolbox for Neural ODE Verification

    Jun 15, 2026Abdelrahman Sayed Sayed, Pierre-Jean Meyer, Mohamed GhazelNeural Network VerificationNeural Ordinary Differential Equations

  44. An Integrated System for Real-Time Student Assessment and Career Guidance Using Neural Networks in Computing Disciplines

    Jun 14, 2026Sakir Hossain Faruque, Md. Jubair Hossain, Sharun Akter KhushbuComputer ScienceStudent

  45. PHINN: Persistent Homology Inspired Neural Network for Rare-Event Time Series Generation

    Jun 13, 2026Emre Yusuf, Ren Takahashi, Jayabrata BhaduriSynthetic Time SeriesGenerative Models

  46. Can Neural Networks Achieve Optimal Computational-statistical Tradeoff? An Analysis on Single-Index Model

    Jun 13, 2026Siyu Chen, Beining Wu, Miao Lu +2Optimal Sample ComplexityTwo-Layer Neural Networks

  47. Test-Time Adaptation of Spiking Neural Networks for Intracortical Neural Decoding using Membrane Potential Alignment

    Jun 12, 2026Guangzhi TangSpiking Neural NetworksBrain-Computer Interface

  48. Fodor and Pylyshyn's Systematicity Challenge Still Stands

    Jun 12, 2026Michael Goodale, Salvador MascarenhasCognitive ScienceNeural Network

  49. Leptomeningeal Collateral Detection on DSA via Vessel-Graph Neural Networks

    Jun 12, 2026Junyong Cao, Hakim Baazaoui, Chinmay Prabhakar +5Coronary AngiographyStroke

  50. Can Deep Neural Networks Improve Compression of Very Large Scientific Data?

    Jun 12, 2026Muhannad Alhumaidi, Guozhong Li, Spiros Skiadopoulos +1Context CompressionPredictive Coding

  51. Co-Evolved Spiking Neural Network Ensembles via Marginal Contribution Fitness

    Jun 12, 2026Catherine Rodriquez, James GhawalySpiking Neural NetworksCo-Evolution

  52. Multi-Variable Stellar Parameter Estimation Using Residual Multitask Neural Networks

    Jun 11, 2026Bruno Santos Meneses Barreto, Marcio EisencraftBillion-Parameter ModelsResidual Connections

  53. Neural Variability Enhances Artificial Network Robustness

    Jun 11, 2026Robin Preble, Praveen Venkatesh, Stefan Mihalas +1Neural Network

  54. Clustering Node Attributed Networks with Graph Neural Networks and Self Learning

    Jun 11, 2026Rodrigo de Sapienza Luna, Daniel Ratton FigueiredoGraph Neural NetworksImage Clustering

  55. Adjoint Method versus Physics-Informed Neural Networks in PDE-Constrained Inverse Problems

    Jun 10, 2026Zhen Zhang, Alessandro Alla, George Em KarniadakisConventional Physics-Informed Neural NetworksIll-Posed Inverse Problem

  56. SpikeDecoder: Realizing the GPT Architecture with Spiking Neural Networks

    Jun 10, 2026Claas Beger, Florian Walter, Alois KnollSpiking Neural NetworksTransformer Encoder

  57. Multi-Rate Mixture of Experts for Accelerating Liquid Neural Network Training

    Jun 10, 2026Shilong Zong, Almuatazbellah Boker, Hoda EldardiryMultivariate Time Series ForecastingSpatial Attention

  58. SpikeTAD: Spiking Neural Networks for End-to-End Temporal Action Detection

    Jun 10, 2026Min Yang, Mi Zhou, Limin WangTemporal Action LocalizationBinary Spikes

  59. Physics-Distilled Neural Network enabled by Large Language Models for Manufacturing Process-Property Predictive Modeling

    Jun 10, 2026Ge Song, Kiarash Naghavi Khanghah, Anandkumar Patel +2Physics-Informed Machine LearningPredictive Maintenance

  60. Energy-Conserved Neural Pipelines: Attenuating Error Propagation in Modular Neural Networks via Physical Conservation Constraints

    Jun 9, 2026David Young, Swan Yi HtetNeural NetworkNormalization