Neural Network

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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.

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  1. LLM-Guided Neural Architecture Search for Robust Co-Design of Physical Neural Networks

    Jun 9, 2026Tyler King, Timothee LeleuNeural Architecture SearchCo-Design

  2. A Theory on Flow Matching with Neural Networks

    Jun 8, 2026Yihan He, Qishuo Yin, Yuan Cao +2Generative Flow NetworksVelocity Field

  3. Temporal Sheaf Neural Networks with Dynamic Orthogonal Transport

    Jun 8, 2026Md Sadek Hossain Asif, Tanzila Khan, Md. Mosaddek KhanNeural NetworkOptimal Transport

  4. Spiking Neural Network inference on FPGAs with hls4ml

    Jun 8, 2026Barry M. DillonSpiking Neural NetworksField-Programmable Gate Arrays

  5. Weighted universal approximation of differentiable maps on infinite-dimensional manifolds

    Jun 8, 2026Philipp Schmocker, Josef TeichmannNeural-Network ApproximationApproximation

  6. Topological Neural Operators

    Jun 8, 2026Lennart Bastian, Samuel Leventhal, Mustafa Hajij +1Neural OperatorsTopological Data Analysis

  7. Preserving Plasticity in Continual Learning via Dynamical Isometry

    Jun 8, 2026Andries Rosseau, Robert Müller, Ann NowéPlasticityEfficient Continual Learning

  8. Hybrid Robustness Verification for Spatio-Temporal Neural Networks

    Jun 8, 2026Sherwin Varghese, Matthew Wicker, Alessio LomuscioNeural Network VerificationAdversarial Transferability

  9. Beyond Humans: Multispecies Animal Face Recognition Using Transfer Learning

    Jun 8, 2026Maria De Marsico, Anil K. Jain, Annalaura MiglinoAnimal Re-IdentificationFacial Recognition

  10. A Universal Dense Football Event Representation Based on TabTransformer

    Jun 8, 2026Weiran Yang, Daniel Memmert, Maximilian Klemp-WeinsSpatio-Temporal TransformersNeural Architectures

  11. EditSSC: Toward Editable Semantic Occupancy Scenes with Unconditional Diffusion Models

    Jun 8, 2026Fatima Balde, Raoul de Charette, Alexandre Boulch3D ScenesDiffusion Editing

  12. Integrating Out, Twice:The Open-System Case That Neural-Network Ensemble Theory Is Missing

    Jun 8, 2026Jin LeiNeural Tangent KernelNuclear Data

  13. Crop Recommendation and Agricultural Query Answering System Using Spatio-Temporal Graph Neural Networks and Hybrid Retrieval Augmentation

    Jun 8, 2026Prajwal Thapa, Yagya Raj PandeyaAgricultural LandscapesCrop

  14. Beyond Convolution: Advancing Hypergraph Neural Networks with Hypergraph U-Nets

    Jun 8, 2026Fuli Wang, Wei Qian, Daniel L. Lau +1HypergraphsU-Net

  15. A systematic investigation of molecular encoding methods for drug property predictions across neural network and Transformer encoder-based model

    Jun 8, 2026Sheng-Ya Chen, Shan-Ju YehMolecular Property PredictionMechanistic Interpretability

  16. Backward Coherence and Hidden-State Stability in Recurrent Neural Networks: A Quasi-Reverse-Martingale Theory

    Jun 8, 2026Yuan-chin Ivan ChangRecurrent Neural NetworksBackward Induction

  17. Generalization in Nonlinear Least Squares via Learned Feature Geometry

    Jun 7, 2026Ayub Kharel, Ilja Kuzborskij, Patrick Rebeschini +1Generalization BoundsLeast Squares

  18. Understanding the Parameter Space Geometry of Transformers Encoding Boolean Functions

    Jun 7, 2026Blanka Köver, Alexandra Butoi, Anej Svete +2Transformer ArchitecturesActivation Functions

  19. Forward-Only Convolutional Neural Networks with Learnable Channel-Class Assignment

    Jun 7, 2026Mohammadnavid Ghader, Saeed Reza Kheradpisheh, Bahar Farahani +1Single Forward PassConvolutional Neural Networks

  20. EinSort: Sorting is All We Need for Tensorizing LLM

    Jun 7, 2026Toshiaki Koike-Akino, Jing Liu, Ye WangTensor NetworksLow-Rank Factorization

  21. The Confidence Trap: Calibration Attacks for Graph Neural Networks

    Jun 7, 2026Cuong Dang, Jiahao Zhang, Hieu Ta Quang +3Graph Neural NetworksAdversarial Transferability

  22. Enhancing AI Interpretability and Safety through Localised Architectures

    Jun 6, 2026Ian Seet, Jonas Bozenhard, Simon OstermannModel InterpretabilityNeural Architectures

  23. Layer-wise Derivative Controlled Networks Achieve Competitive Accuracy and Gradient Stability Across Data Regimes

    Jun 6, 2026Rowan MartnishnRectified Linear Unit Networks

  24. Characterizing the Discrete Geometry of ReLU Networks

    Jun 5, 2026Blake B. Gaines, Jinbo BiRectified Linear Unit NetworksComplex Networks

  25. A physical adaptive material motor unit neural network: a hygromorph composite material machine

    Jun 5, 2026Charles de Kergariou, David Correa, Adam W. Perriman +2CompositesSoft Pneumatic Actuators

  26. Beyond Linear and Overcomplete Regimes: A Mean-Field Analysis of Bottleneck Autoencoders

    Jun 5, 2026Santanu Das, Ramyak Bilas, Pascal Esser +1Masked AutoencodersTwo-Layer Neural Networks

  27. Knowledge-Inclusive Adaptive Physics-Informed Neural Network for Microbial Interaction Modelling

    Jun 5, 2026Ravisha Rupasinghe, Rajith Vidanaarachchi, Asela Hevapathige +3Conventional Physics-Informed Neural NetworksBacterial Colony Counting

  28. Architecture Shapes Transfer Specificity in Implicit Neural Representations

    Jun 5, 2026D Yang EngImplicit Neural RepresentationsNeural Architectures

  29. Generalization in Deep Neural Networks: Minimax Rates for Gradient Methods

    Jun 4, 2026Junyu Zhou, Puyu Wang, Yunwen Lei +2Over-Parameterized Neural NetworksNeural Tangent Kernel

  30. Optimal Rates for Generalization of Gradient Descent Methods with Deep Neural Networks

    Jun 4, 2026Junyu Zhou, Puyu Wang, Yunwen Lei +2Gradient DescentStochastic Gradient Descent

  31. AIS-Based Vessel Trajectory Prediction Using Memory-Augmented Neural Networks

    Jun 4, 2026Wonmo Koo, Sanha Chang, Heeyoung KimTrajectory PredictionMaritime Navigation

  32. Effective Dimensionality as an Operator Invariant for Physics-Preserving Constraint Adaptation in Physics-Informed Neural Networks

    Jun 4, 2026Cornelius Otchere, Michael ShieldsConventional Physics-Informed Neural NetworksNeural Network

  33. Quantifying Uncertainty In Wide Two-Layer Neural Networks: On The Law Of The Limiting Fluctuation Process

    Jun 4, 2026Arnaud Descours, Arnaud Guillin, Geoffrey Lacour +3Two-Layer Neural NetworksCentral Limit Theorem

  34. Dead Directions: Geometric Singular Learning

    Jun 4, 2026Tejas Pradeep ShirodkarSingularityDeep Network

  35. Liquid Neural Networks as a Drop-in Continuous-Time Deformation Field for Dynamic 3D Gaussian Splatting

    Jun 4, 2026Mingzhao Li, Arghya Pal, Guan Yuan Tan3D Gaussian SplatsPopular Deformable Convolutions

  36. Deciphering Two Training Clocks in Grokking via Deep Linear Network Theory with Conditional ReLU Reduction

    Jun 4, 2026Hu Tan, Kuo Gai, Shihua ZhangDeep NetworkRectified Linear Unit

  37. Mitigating the Curse of Dimensionality in Uniform Convergence of Deep Neural Networks via Smooth Activations

    Jun 4, 2026Yizhe Ding, Runze Li, Jia Liu +1Rectified Linear Unit NetworksActivation Functions

  38. GuardNet: Ensemble Strategies of Shallow Neural Networks for Robust Prompt Injection and Jailbreak Detection

    Jun 4, 2026Paulo Ricardo Ferreira Neves, Edson Rodrigues da Cruz Filho, Paulo Henrique Eleuterio Falsetti +7Indirect Prompt InjectionJailbreak Detection

  39. Formal Concept Lattices are Good Semantic Scaffolds for Concept-Based Learning

    Jun 3, 2026Deepika SN Vemuri, Sayanta Adhikari, Ankit Saha +2Neural ArchitecturesHierarchical

  40. Seq103: A Unified Neuroevolution Framework for Compact Sequence Architecture Discovery

    Jun 3, 2026Wenxiao Li, Yongjian Liu, Qing XieNeural ArchitecturesSequence Modeling

  41. Gradient descent at the Edge of Stability: free energy model and kinetic description of the two-layer network

    Jun 3, 2026Antonin Chodron de CourcelGradient DescentTwo-Layer Neural Networks

  42. Beyond Structural Symmetries: Linear Mode Connectivity via Neuron Identifiability

    Jun 3, 2026Vincent Bürgin, Daniel Herbst, Ya-Wei Eileen Lin +1Two-Layer Neural NetworksSymmetry

  43. Curvature-aware dynamic precision approach for physics-informed neural networks

    Jun 3, 2026Yingjie Shao, Ioannis N. Athanasiadis, George van Voorn +1Conventional Physics-Informed Neural NetworksCurvature-Aware Quadratic Banks

  44. HalfNet: Randomized Neural Networks with Learned Subspace Geometry

    Jun 3, 2026Ethem AlpaydinNeural NetworkLow-Rank Factorization

  45. LDARNet: DNA Adaptive Representation Network with Learnable Tokenization for Genomic Modeling

    Jun 3, 2026Daria Ledneva, Denis KuznetsovGenomicsWireless Foundation Models

  46. When Both Layers Learn: Training Dynamics of Representing Linear Models via ReLU Networks

    Jun 3, 2026Berk Tinaz, Changzhi Xie, Mahdi SoltanolkotabiRectified Linear Unit NetworksGradient Descent

  47. Flatness and Generalization: Learning Multi-Index Models with Homogeneous Neural Networks

    Jun 3, 2026Harsh Vardhan, Hossein Taheri, Arya MazumdarTwo-Layer Neural NetworksNeural Network

  48. Shortcomings and capacities of real-constrained neural networks in complex spaces

    Jun 3, 2026Andrew GracykNeural-Network ApproximationNeural Network

  49. A Geometric Characterization of the Stationary Plateau for Two-Layer Neural Networks

    Jun 3, 2026Tian Ding, Dawei Li, Ruoyu SunTwo-Layer Neural NetworksLoss Landscape

  50. Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes

    Jun 3, 2026Bin Duan, Meiru Che, Guowei YangBayesian Neural NetworksNeural Network Verification

  51. Latent Anchor-Driven Test Generation for Deep Neural Networks

    Jun 3, 2026Bin Duan, Matthew B. Dwyer, Guowei YangTest GenerationModern Deep Networks

  52. Long-Term and Short-Term Transistor Aging in Deep Neural Networks: Impact and Mitigation

    Jun 2, 2026Alireza Sarmadi, Virinchi Roy Surabhi, Prashanth Krishnamurthy +3Graph Neural Network InferenceModern Deep Networks

  53. Neuron Populations Exhibit Divergent Selectivity with Scale

    Jun 2, 2026Amil Dravid, Yasaman Bahri, Alexei A. Efros +1Scaling LawsPower-Law Distribution

  54. Predicting the Neutrino Mass Ordering Using Neural Networks

    Jun 2, 2026T. J. C. Bezerra, L. Asquith, E. Bannister +1Modern Collider ExperimentsNeural Network

  55. Scalable On-Hardware Training of Quantum Neural Networks and Application to Clinical Data Imputation

    Jun 2, 2026Natansh Mathur, Panagiotis Kl. Barkoutsos, Masako Yamada +2Quantum Neural NetworksQuantum Computing

  56. Low-Frequency Shortcuts in Texture-Driven Visual Learning

    Jun 2, 2026Utku Şirin, Cathy Hou, David Alvarez-Melis +1Low-Frequency CuesFeature Learning

  57. Multi-Modal Graph Neural Network with Transformer-Guided Adaptive Diffusion for Preclinical Alzheimer Classification

    Jun 2, 2026Jaeyoon Sim, Minjae Lee, Guorong Wu +1AlzheimerHuman Brain Networks

  58. A Negative Result on Cross-Model Activation Transfer in a Pythia Multi-Hop Setting

    Jun 2, 2026Peiyan Zhang, Jason XinModel ActivationsHidden States

  59. Rethinking Neural Width for Alternating Current Optimal Power Flow Proxies

    Jun 2, 2026Dhruvi Khandelwal, Anurag Basistha, Ayushi Jolotia +1Ac Optimal Power FlowDeep Network

  60. Neural Networks Provably Learn Spectral Representations for Group Composition

    Jun 2, 2026Jianliang He, Leda Wang, Fengzhuo Zhang +2Implicit Neural RepresentationsTwo-Layer Neural Networks