Neural Network

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Period ending 2026-09-21

28 new papers

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Period ending 2026-09-14

26 new papers

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Period ending 2026-09-07

27 new papers

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  1. Exploration of the generative capabilities of Boltzmann machines applied to social systems under the majority rule

    Jul 25, 2026Mauricio A. Valle, Gonzalo A. RuzBoltzmann DistributionsModern Deep Networks

  2. Trainable Nonexpansive Denoisers for Contractive Image Reconstruction

    Jul 25, 2026Arghya Sinha, Aditya Banerjee, Trishit Mukherjee +1Image DenoisingImage Reconstruction

  3. Indexing: the Beginning and the End

    Jul 24, 2026Alexander Kozachinskiy, Vicente Opazo, Felipe UrrutiaNeural ArchitecturesInformation Bottleneck

  4. Generalised Balanced Softmax: A Finite-Data Perspective on Logit Adjustment for Long-Tailed Recognition

    Jul 24, 2026Yi-Hang Zhu, Rajeev Raman, Shiqi Su +4Extreme Class ImbalanceBalanced Learning

  5. What Softmax Throws Away: Mass-Aware Attention for Evidence Accumulation

    Jul 24, 2026Minwoo Yu, Young-guk HaTemporal GraphsArea Under The Receiver Operating Characteristic Curve

  6. CARDIAG: A Dense Segment Classification Benchmark of Deep Learning Architectures for Coronary Angiography

    Jul 24, 2026Dominik Bernard Lau, Hubert Malinowski, Jerzy Szyjut +5Coronary AngiographyCongenital Heart Disease

  7. Searching the Space of Feed-Forward Neural-Network Weight-Update Rules with Fixed Depth Symbolic Regression

    Jul 23, 2026Charles Brum, Edward FinkelsteinSymbolic RegressionNeural Network Optimization

  8. Hilbert Operator for Progressive Encoding (HOPE): A Mathematical Framework for Deconstructing Learned Representations in Deep Networks

    Jul 23, 2026Hossein Mobahi, Peter L. BartlettDeep NetworkRepresentation Learning

  9. Do emulated quantum circuits change what CNNs look at? Performance and explainability comparison in medical image classification

    Jul 23, 2026Guillermo Rubiños Rodríguez, Martín Ottavianelli, Mateo Alonso +4Hybrid Quantum Neural NetworksQuantum Circuit Simulation

  10. Neural Feature Governance: Extending Atom Prevalence

    Jul 23, 2026Idris Karel Seunda Ekwe, Patrick Tenga Shako, Ernest Parfait FokouéBayesian Neural NetworksNeural Network

  11. New Complexity-Theoretic Frontiers of Tractability for Neural Network Training

    Jul 23, 2026Cornelius Brand, Robert Ganian, Mathis RoctonRectified Linear Unit NetworksActivation Functions

  12. Writhe-Based Polymer Link Classification Using Machine Learning

    Jul 22, 2026Jack Beda, Djordje Mihajlovic, Kasturi Barkataki +1PolymerKnots

  13. Are Single-Token Sparse Autoencoder Features Causally Necessary? Layer-Depth and SAE-Family Effects

    Jul 22, 2026Seonglae Cho, Zekun Wu, Kleyton Da Costa +3Sparse Autoencoder FeaturesActivation Functions

  14. Shallower ReLU Network Representations via Exact Linear Algebra

    Jul 22, 2026Kilian Rueß, Gennadiy Averkov, Florestan Brunck +7Rectified Linear Unit NetworksUpper Bounds

  15. Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling

    Jul 22, 2026Somesh Pratap Singh, Govinda Anantha Padmanabha, Jingye Tan +4Conventional Physics-Informed Neural NetworksReliable Uncertainty Quantification

  16. Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields

    Jul 22, 2026Tianyu Li, Zhiwei Cao, Qingang Zhang +3Computational Fluid DynamicNeural Fields

  17. Local Stability and Gaussian Smoothing of Quantized Neural Networks

    Jul 22, 2026Sergey Salishev, Anton Makarov, Oleg GranichinSmoothingNeural Network

  18. Exact ReLU realization of affine one-dimensional refinement iterates via residual memory and offset frames

    Jul 22, 2026Boldsaikhan Bolorkhuu, Tsogtgerel GantumurAffineRectified Linear Unit

  19. PN-QNN: Harnessing Physical Noise as a Native Regularizer in Photonic Hybrid Quantum Neural Networks

    Jul 22, 2026Farah Elnakhal, Alberto Marchisio, Nouhaila Innan +2Quantum Neural NetworksSingle-Photon Avalanche Diode

  20. The Giant Hippocampus: From Structural Monoculture to a System of Systems

    Jul 22, 2026Jaeho SeolHuman Visual CortexNeural Architectures

  21. Do Sheaf Neural Networks Use Holonomy? A Measure--Intervene--Control Study

    Jul 21, 2026Ankit Grover, Rémi BourgerieSheafNeural Network

  22. 1-Lipschitz Neural Networks on Hadamard Manifolds

    Jul 21, 2026Davide Murari, Marta Ghirardelli, Ben Adcock +3Lipschitz ConstantNeural Network

  23. Associative Emotional Learning in Convolutional Neural Networks

    Jul 21, 2026Seowung Leem, Andreas Keil, Mingzhou Ding +1Dense Associative MemoryNeural Network

  24. Spiking Neural Networks for fMRI-Based Visual Semantic Decoding

    Jul 21, 2026Jiahong Zhang, Jinning Zhao, Sijun Shen +3Spiking Neural NetworksBrain Magnetic Resonance Imaging

  25. Neural network realization of binary refinement iterates via a two-chart atlas selector

    Jul 21, 2026Tsogtgerel GantumurRectified Linear Unit NetworksIterative Refinement

  26. Spectral Higher-Order Neural Networks Have Sharp Expressivity Bounds

    Jul 21, 2026Gianluca Peri, Diego Febbe, Duccio FanelliNeural NetworkHypergraphs

  27. Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction

    Jul 21, 2026Tianyang Huang, Alessio Lombardi, Ahmed Elnagar +7Neural ArchitecturesDeep Learning

  28. Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States

    Jul 20, 2026Armin SommerModel-Free Reinforcement LearningClassical Planning

  29. Now We Know? A Systematic Comparison of TerraMind and THOR

    Jul 20, 2026Frederick Schindlegger, Kenzo Bounegta, Eva Gmelich Meijling +5Geospatial Foundation ModelsWireless Foundation Models

  30. Multi-layer MIMO Relay as Deep Physical Neural Networks: Power Amplifiers as Activation Functions

    Jul 20, 2026Meng Hua, Itsik Bergel, Deniz GündüzModern Deep NetworksMultiple-Input Multiple-Output

  31. PRISM: Sensitivity-Aware PolynoMial PRuning for EffIcient Neural Network Encryption

    Jul 20, 2026Sahaj Majavdia, Mahdi TaheriHomomorphic EncryptionNeural Network Verification

  32. Predicting Grasping Compliance in Robotic Hands through Analytical-Model-Informed Neural Networks

    Jul 20, 2026Qianwen Zhao, Long WangDexterous Robot HandsGrasps

  33. MIS-HCC: Hierarchical Channel Clustering for Efficient Medical Image Segmentation

    Jul 19, 2026Bo Zhao, Haoran Yu, Lifei Liu +5Medical Image SegmentationImage Clustering

  34. Lookahead Branching for Neural Network Verification

    Jul 19, 2026Liam Davis, Duo Zhou, Huan Zhang +3Neural Network VerificationFormal Verification

  35. Expressivity of Shallow Neural Networks Over Finite Fields

    Jul 19, 2026Maksym Zubkov, Carol Wu, Shiwei Yang +2Two-Layer Neural NetworksChern Numbers

  36. On the Potential of Graph Neural Networks as Metamodels for Supply Chain Optimization: Dataset, Architectures, and Directions

    Jul 18, 2026Tushar Lone, Neha KaranjkarGraph Neural NetworksSupply Chain Optimization

  37. Effects of width-dependent model hyperparameters and ℓ2\ell_2-regularization on the loss landscape of two-layer ReLU networks

    Jul 18, 2026Haruka Eshima, Makoto YamadaRectified Linear Unit NetworksLoss Landscape

  38. Building a Neural Network from Scratch: Implementation, Evaluation, and Optimization

    Jul 18, 2026Yuanzhe JiaBackpropagationNeural Network

  39. Backpropagation-Free Trunk Training via the Split Forward Gradients

    Jul 18, 2026Tian Qin, Wei-Min HuangBackpropagationGradient Flow

  40. Graph Coloring Approach to Solving Sudoku with Oscillatory Neural Networks

    Jul 17, 2026Filip Sabo, Aida Todri-SanialNeural SolversNeural Network

  41. From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks

    Jul 17, 2026Zhiheng Zhou, Mengyao Zhou, Yancheng Chen +3HypergraphsNeural Network

  42. CoG-Guided Weight Correction for Fault-Tolerant Deep Neural Networks

    Jul 17, 2026Bahram Parchekani, Samira Nazari, Ali Azarpeyvand +3Model WeightsNeural Network

  43. Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design

    Jul 17, 2026Xu Yang, Mingyang Yu, Jing Xu +1Conventional Physics-Informed Neural NetworksPhysics-Aware Models

  44. Subgrid-Scale Parameterization in Burgers' Equation Using Structure-Preserving Neural Networks and Entropy Variables

    Jul 16, 2026Aijaz Nazir, Ilya TimofeyevShallow Water EquationsReduced-Order Models

  45. Scalable Training of Continuous-Time Spiking Neural Networks with Differentiable Spike-Time Discretization

    Jul 16, 2026Yusuke Sakemi, Tomoya Takeuchi, Takeo Hosomi +1Spiking Neural NetworksSpike-Timing-Dependent Plasticity

  46. Probabilistic Physics-Informed Neural Networks for Estimating Heterogeneous Elastic Properties from Low-Resolution and Noisy Displacement Data

    Jul 16, 2026Tatthapong Srikitrungruang, Jaesung LeeDisplacement FieldsConventional Physics-Informed Neural Networks

  47. CausalGraphX: A Counterfactual Graph Neural Network Framework for Explainable Systemic Risk Assessment

    Jul 15, 2026Rabimba Karanjai, Hemanth Madhavarao, Lei Xu +1Causal GraphCounterfactual Explanation

  48. Random Parameter Noise Does Not Make Exact ReLU Verification Easy

    Jul 15, 2026Mojtaba SoltanalianNeural Network VerificationRectified Linear Unit Networks

  49. LIGO-PINN: Learned Initialization via Gated Optimization to Alleviate Convergence Failures in Physics Informed Neural Networks

    Jul 15, 2026Nilay Anurag, Shital Adhikari, Taniya Kapoor +1Conventional Physics-Informed Neural NetworksPartial Differential Equations

  50. Transforming Rank: How Architecture Navigates the Spectral Pathologies of Depth

    Jul 15, 2026Katie EverettDeep NetworkJacobian

  51. Algebraic Representability as the Limiting Regime of Grokking: An Exactly Solvable Model with Holomorphic Activations

    Jul 15, 2026Chon-Fai Kam, Xavier Cadet, Miloud Bessafi +1GrokkingTwo-Layer Neural Networks

  52. Conditional Invertible Neural Networks for Data-Driven UAV Control: A 2-D Proof of Concept

    Jul 15, 2026Christian Wittke, Stephan Myschik, Oliver NiggemannQuadrotor ControlNeural Control

  53. Evaluating Encoding Strategies for Closed-Loop Classification in Biological Neural Networks

    Jul 15, 2026Martin Schottlender, Veronika Volkova, Pengjie Zhou +3Neural Network3D Encoder

  54. How the Hessian-Spectrum of Neural Networks Depends on Data

    Jul 15, 2026Jasraj Singh, Enea Monzio Compagnoni, Antonio OrvietoCondition NumberTwo-Layer Neural Networks

  55. FastCentNN: Accelerating Centroid Neural Network with Entropy Proxy

    Jul 15, 2026Le-Anh TranImage ClusteringSparse Deep Neural Network Accelerators

  56. Approximation of solutions of parameter-dependent problems by residual neural networks

    Jul 15, 2026Ana CarpioNeural-Network ApproximationNeural Network

  57. Spectral-Informed Neural Networks Outperform Spectral Methods in High-dimensional PDEs

    Jul 15, 2026Tianchi Yu, Ivan OseledetsPartial Differential EquationsNeural Network

  58. Weight Feedback Computes the Jacobian Transpose Locally in Modern Deep Networks

    Jul 15, 2026Junlong Shen, Xingyu LiBackpropagationPredictive Coding

  59. Reassessing Muon for Matrix Factorization

    Jul 14, 2026Ali Parviz, Gal Mishne, Alex CloningerMuon OptimizerMuon

  60. Contrastive-Collapsed Loss for Flexible and Geometrically Optimal Embeddings and Faster Convergence

    Jul 14, 2026Blanca Cano-Camarero, Ángela Fernández-Pascual, José R. DorronsoroEmbedding DimensionContrastive Loss