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. Can Scale Save Us From Plasticity Loss in Large Language Models?

    Jun 23, 2026J. Fernando Hernandez-Garcia, Tomás Figliolia, Beren MillidgeLarge ModelsPlasticity

  2. Extended pseudo-spectral physics-informed neural networks for phase-field models

    Jun 23, 2026Callum Marsh, Radek Erban, Andreas MunchConventional Physics-Informed Neural NetworksNeural Fields

  3. Spatial Partial Functionalization of Neural Networks based on Noise Fields

    Jun 23, 2026Shuhei Ikemoto, Fabio DallaLiberaNeural FieldsNeural Network

  4. End-to-End Radar and Communication Modulation Recognition with Neuromorphic Computing

    Jun 23, 2026Xiaohu Li, Chongxiao Qu, Caiyong Lin +2Neuromorphic HardwareAutomatic Modulation Classification

  5. Fast and Slow Variational Continual Learning

    Jun 22, 2026Subarnaduti Paul, Yohan Jung, Mohammad Emtiyaz Khan +3Efficient Continual LearningContinual Learning Methods

  6. Identifying structural design principles shaping the computational abilities of recurrent neural networks

    Jun 22, 2026Tom Talpir, Elad SchneidmanRecurrent Neural NetworksNeural Network

  7. Reconstructing GRACE Terrestrial Water Storage with Spatio-Temporal Graph Neural Networks: An Application to South America

    Jun 22, 2026Lukas Arzoumanidis, Lara Johannsen, Klara Middendorf +2Sea-Surface Temperature DataTemporal Graph Neural Networks

  8. Neural Networks as Linear Regression: An Introduction for Statisticians

    Jun 22, 2026Abigail Loe, Susan Murray, Zhenke WuNeural NetworkStatistical Inference

  9. It's Much Easier for Neural Networks to learn Game of Life Dynamics with the Right Activation Function: Polynomial Kolmogorov-Arnold Networks

    Jun 22, 2026Tashin Ahmed, Q. Tyrell DavisNeural Cellular AutomataActivation Functions

  10. SuperCond-GNN: Scalable Graph Neural Network Surrogate for Superconducting Circuit Simulations

    Jun 22, 2026Nandana Menon, Giorgio ValloneGnn-Based DetectorsMagnetic Tunnel Junction

  11. Sublinearly Structured Deep Neural Networks Achieve Feature Learning Consistency for Compositional Functions

    Jun 22, 2026Sehwan Kim, Yan Sun, Faming LiangModern Deep NetworksNeural Network

  12. Quantum Convolutional Neural Networks for Groundwater Heat Plume Prediction: A Surrogate Modeling Approach

    Jun 22, 2026Danyal Maheshwari, Julia Pelzer, Miriam SchulteQuantum Neural NetworksSurrogate Models

  13. Convergence of Gradient Descent for General Neural Network Architectures Beyond the NTK Regime

    Jun 22, 2026Yuqing WangNeural Tangent KernelGradient Descent

  14. 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

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

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

  16. Exposing the Illusion of Erasure in Knowledge Editing for LLMs

    Jun 22, 2026Advik Raj Basani, Anshuman ChhabraMultimodal Knowledge EditingConcept Erasure

  17. Leveraging AutoML for Sustainable Deep Learning: A Multi-Objective HPO Approach on Deep Shift Neural Networks

    Jun 22, 2026Leona Hennig, Marius LindauerDeep LearningDeep Network

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

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

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

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

  20. 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

  21. LSTM Variants for Chaotic Dynamical Systems: An Empirical Study on the Lorenz Attractor

    Jun 21, 2026Ruslan GokhmanBidirectional Long Short-Term MemoryChaos

  22. 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

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

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

  24. Multigrid Training for Molecular Generation using Graph Neural Networks

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

  25. Gated MLPs as Symmetry-Broken Rank-1 Bilinear Attention

    Jun 20, 2026Nathan BreslowMultilayer PerceptronsActivation Functions

  26. Early-Exit Graph Neural Networks for Link Prediction

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

  27. 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

  28. 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

  29. 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

  30. Cohort Organized Learning: Clustering Through Agreement

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

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

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

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

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

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

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

  34. Breaking chains with trees: Deep learning with O(log⁡N)\mathcal{O}(\log N) parallel time complexity

    Jun 19, 2026Neeraj Mohan Sushma, Aditya Nagarsekar, Cabrel Teguemne Fokam +4BackpropagationNeural Architectures

  35. 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

  36. What Accuracy and Gradient Cosine Miss: Evaluating Feedback Alignment via Scale Stability, Reference Validity, and Depth Utility

    Jun 19, 2026Yuren Hao, Xiang Wan, ChengXiang ZhaiDeep NetworkLoss Function

  37. 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

  38. 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

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

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

  40. 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

  41. 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

  42. 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

  43. Recurrent neural networks approximate continuous functions

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

  44. Shifting-based Optimizable Linear Relaxations for General Activation Functions

    Jun 18, 2026Philipp Kern, László Antal, Erika Ábráham +1Activation FunctionsSemidefinite Programming

  45. 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

  46. Compositionality Emerges in a Narrow Depth-Connectivity Regime: Architecture Constraints and Solution Manifolds

    Jun 18, 2026Dat H. Do, Rushi Shah, Duc V. Le +1CompositionalityDeep Network

  47. 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

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

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

  49. 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

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

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

  51. Convex training of Lipschitz-regularized shallow neural networks

    Jun 17, 2026Chao Yin, Antoine Lesage-LandryLipschitz ConstantTwo-Layer Neural Networks

  52. Understanding Key Features of Time Series Foundation Models from Epidemic Forecasting

    Jun 17, 2026Alireza Jafari, Judy Fox, Geoffrey C. Fox +2Time Series Foundation ModelsEpidemic Forecasting

  53. 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

  54. 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

  55. 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

  56. 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

  57. Explicit Interaction Architectures for Dynamical Learning: A Controlled Study of Structural Inductive Bias

    Jun 17, 2026Augusto SartiQualitative DynamicsLearning Dynamics

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

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

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

    Jun 17, 2026Harshit Goyal, Sudakshina DuttaNeural Network VerificationBinarization

  60. 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