Deep Neural Networks

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 2026-09-14

26 new papers

A weekly snapshot of new work published in Deep Neural Networks.

Period ending 2026-09-07

27 new papers

A weekly snapshot of new work published in Deep Neural Networks.

Inside this field

Focused directions

1,144 papers

Latest in Deep Neural Networks

Open your feed →
CardsList

  1. Information Geometric Self-Organization at the Edge of Stability in High-Capacity Kernel Associative Memories

    Sep 15, 2026Akira TamamoriHopfield NetworksHessian Eigenvalue

  2. Same path, different: a mechanistic comparison of looped and stacked transformer encoders on 12-lead ECG

    Sep 14, 2026Pawel Olszowiec, Michal Byra, Grzegorz Gruszczynski +2Vision TransformerNeural Architectures

  3. Benign Loss Landscapes Can Coexist with Worst-Case Hardness

    Sep 14, 2026Zach Furman, Stephan Wäldchen, Yangda Bei +1Convex LossTwo-Layer Neural Networks

  4. Temporal Recurrence Favors Fewer Layers

    Sep 14, 2026Ivan Anokhin, Johan Obando-Ceron, Irina Rish +1Recurrent ModelMultilayer Perceptrons

  5. Learning Symbolic Constraint Representations from Examples: A Neuro-Symbolic Approach

    Sep 14, 2026Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar +1Neural Model

  6. Do Influence-Derived Data Perturbations Enable Machine Unlearning? A Controlled Study of Three Plausible Roles

    Sep 14, 2026Chenkai Wu, Chrispine Kambimbi, Qinyang Zeng +1Machine UnlearningUnlabeled Data

  7. Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?

    Sep 13, 2026Afshin KhadangiCross-Architecture AlignmentNeural Architectures

  8. Quantifying the Memorization-to-Generalization Transition: Scaling Laws and Phase Structure in Grokking

    Sep 12, 2026Anish KatariaGrokkingOver-Parameterized Neural Networks

  9. Thinking with Looped Flows

    Sep 12, 2026Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom +3Generative Flow NetworksRecurrent Model

  10. Temporal and Multimodal Deep Learning for Cyberattack Detection in LEO Satellite Systems

    Sep 12, 2026Kyle Stein, Guillermo Francia III, Eman El-Sheikh +1Low Earth OrbitReal-Time Threat Detection

  11. Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry

    Sep 11, 2026Mo Zhou, Weihang Xu, Simon S. Du +1Two-Layer Neural NetworksMatching Markets

  12. Diversity of EML-type operators

    Sep 10, 2026Andrzej OdrzywołekActivation FunctionsNeural Operators

  13. Teacher Geometry Shapes Learnability in Teacher-Student Networks

    Sep 10, 2026Kai J. Sandbrink, Flavio Martinelli, Alexander van Meegen +2Teacher-Student Model PairsSingular Learning Theory

  14. Myocardial Strain Drift Correction in Deep Learning Based Ultrasound Tracking

    Sep 10, 2026Thierry Judge, Nicolas Duchateau, Andreas \Ostvik +6Left-Ventricular SegmentationEchocardiography

  15. Critical initialization destabilizes higher input derivatives in wide scalar-input networks

    Sep 10, 2026Prashant Singh, Pranav SinghTwo-Layer Neural NetworksMean-Field Limit

  16. scDEFT: A deep learning framework for drug-effect prediction and counterfactual reasoning

    Sep 9, 2026Murthy DevarakondaSingle-Cell Perturbation PredictionDrug-Drug Interactions

  17. RiLM: Parameter-Efficient Language Modeling via Geodesic Decoding

    Sep 9, 2026Fang LiProtein Language ModelBidirectional Long Short-Term Memory

  18. Through the Looking Glass: Directly Reading and Writing Transformers

    Sep 9, 2026Mark OskinSentence Transformer ModelsNext-Token Prediction

  19. LinearMask-GS: Stable-Mask Importance Pruning for Compact 3D Gaussian Splatting

    Sep 9, 2026Donghun Ryu, Minhyeok Lee3D Gaussian SplattingGaussian Splatting

  20. Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation

    Sep 9, 2026Sudaksh Kalra, Dolly SapraLightweight Convolutional Neural Network Hardware AcceleratorSelf-Supervised Vision Transformers

  21. Deep Neural Networks for Learning Intent from sEMG Signals to Support Hardware Devices for Post-Stroke Neurorehabilitation

    Sep 9, 2026Zakariyya Brewster, Divy Wadhwani, Emily Yan +5Surface ElectromyographyStroke Rehabilitation

  22. EFQ-Softmax: Exp-Free Quantization for Softmax

    Sep 9, 2026Haohui Han, Yuming Wan, Hongni Wang +4Gumbel-Softmax RelaxationQuantization

  23. Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks

    Sep 8, 2026Xiaoyu Li, Zhizhou Sha, Jiaojiao Jiang +2Rectified Linear Unit NetworksConcentration Inequalities

  24. Physics-Informed Deep Learning for False Ventricular Tachycardia Alarm Reduction in the ICU

    Sep 8, 2026Athanasios Papastathopoulos-Katsaros, Alexandra Stavrianidi, Zhandong LiuHeart RateIntensive Care Unit

  25. Effects of model architecture and learning strategies on deep learning-based recognition of activated sludge microscopic images and comparison with quantitative image analysis

    Sep 8, 2026Suguru Hakoshima, Tomohiro Tobino, Fumiyuki NakajimaMicroscopyNeural Architectures

  26. GALoc: Gravity Aligned Wireframes for Depth-Free Monocular Floorplan Localization

    Sep 8, 2026Jeahn Han, Minji Kim, Jeongbin Sohn +3Floor Plan Generation3D

  27. Snugi-AI-v2 @ eRisk 2026 Task 2: Early Depression Detection via a Learned Stopping Policy with Sustained Confidence Gate

    Sep 8, 2026Yuwen ChiuDepressionMultilayer Perceptrons

  28. A Multimodal Label Forecasting Method for Aperiodic Visuo-Motor Time Series

    Sep 7, 2026Borui He, Garrett E KatzHuman Motion PredictionTime Series Forecasting

  29. Latent-MoE: Domain-Aware Mixture-of-Experts for PDEs with Multi-Regime Physics

    Sep 7, 2026Hanwen Wang, Paris PerdikarisConventional Physics-Informed Neural NetworksPartial Differential Equations

  30. A Theoretical Analysis of Generalization Dynamics in Neural Networks under Gradient Descent with Weight Decay

    Sep 7, 2026Yuqing Wang, Ioannis G. Kevrekidis, Mikhail BelkinGeneralization BoundsTwo-Layer Neural Networks

  31. On the Recall Scaling Laws in Mamba: A Theoretical and Mechanistic Study via Hashing

    Sep 7, 2026Yuval Koren, Assaf Ben-Kish, Raja Giryes +2Associative MemoryFactual Recall

  32. SeisBench DAS: A machine learning framework for Distributed Acoustic Sensing

    Sep 7, 2026Jannes Münchmeyer, Han Xiao, Frederik TilmannSeismic InterpretationAcoustic Sensing

  33. IPGeoAI: Transformer-Based Geolocation with LLM Semantic Fusion

    Sep 7, 2026Avinash Kadimisetty, Andy Jinqing Yu, Philip Favaloro +2Geo-LocalizationNeural Architectures

  34. On the Interaction Between Model Compression and Test-Time Adaptation

    Sep 3, 2026Francesco Corti, Dong Wang, Young D. Kwon +2Test-Time AdaptationConvolutional Neural Network Compression

  35. Beyond Small Patches: Black-Box Detection and Purification of Diverse Backdoor Triggers

    Sep 2, 2026Ahmed Abdelnaby, Mohamed ElmahallawyBackdoor AttacksUnsupervised Detectors

  36. A Closed-Form Formula for Consistent Lipschitz Regression on Metric Spaces with Sparse Neural Network Realizations

    Sep 2, 2026Ruiyang Hong, Hrad Ghoukasian, Anastasis KratsiosLipschitz ConstantMetric Spaces

  37. Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields

    Sep 2, 2026Amir Mallak, Alaa Maalouf, Lior Wolf +2Neural FieldsNeural Tangent Kernel

  38. Scaling Laws, Tabular Data and Actuarial Ratemaking Models

    Sep 2, 2026Ronald RichmanActuarial Reasoning TasksScaling Laws

  39. Physics-Informed Neural Network Surrogate for Oxygen Vacancy Dynamics in epitaxial \mathrm{SrTiO_3} on Si memristors via Dynamic Spectral Optimization

    Sep 2, 2026Rodion Podorozhny, Nikoleta Theodoropoulou, Jelena TešićTernary Memristive LogicPorous Media

  40. Statistical Feature Augmentation for Anomaly Detection in Dynamic Graphs

    Sep 2, 2026Philipp Schlinge, Jean-Luc Schnipper, Martin AtzmuellerGeneralist Graph Anomaly DetectionAnomaly Detection

  41. Train What You Deploy: Closing the MLP Reachability Gap in Low-Rank Clone Distillation

    Sep 2, 2026Wenhui Chen, Zhifeng Li, Jie Zhou +5Confidence-Gated Closed-Loop Distillation FrameworkLarge Language Model Compression

  42. Learning with Volterra Neural Networks: A System Theoretic Perspective

    Sep 1, 2026Haoyu Yun, Hamid Krim, Yufang BaoNeural Tangent KernelNeural Operators

  43. Latent unified smooth Hamiltonians for excited state chemistry

    Sep 1, 2026David Juergens, Martin Stöhr, Andreas E. Hillers-Bendtsen +2Molecular DynamicsNeural Architectures

  44. Improved Automatic Target Recognition in Synthetic Aperture Sonar Imagery Using Large Deep Neural Networks

    Sep 1, 2026C. J. Moore, Alex Hurt, Jordan MalofSynthetic Aperture RadarHybrid Transformer

  45. Ten Architectures, One Error: Shared Failure Modes in Hyperspectral Classification under Spatially Disjoint Evaluation

    Sep 1, 2026Ehsan Faghih, Fatemeh Ashrafi, Marguerite Moore +1Hyperspectral Image ClassificationImage Classification

  46. Emergence of Fibrations, Compression, and Symmetry Breaking in Artificial Neural Networks

    Sep 1, 2026Osvaldo M Velarde, Lucas C Parra, Alireza Hashemi +1Deep Neural NetworkSymmetry

  47. Evidential Deep Learning for Multi-Modal Anti-UAV Detection

    Sep 1, 2026Dmitry Golovchits, Seyed Sahand Mohammadi Ziabari, Ali Mohammed Mansoor AlsahagDrone DetectionMulti-Sensor Fusion

  48. Beyond Scores: Understanding LLM-as-a-Judge Mechanisms in Summarization Evaluation

    Sep 1, 2026Himil Vasava, Ming JiangLlm-As-A-JudgeSummarization

  49. One-Layer Transformer Provably Learns Multiclass One-Nearest Neighbor in Context

    Sep 1, 2026Skanda Athreya, Yutong WangMulti-Layer TransformersMulticlass Classification

  50. Solving In-Table Prediction Problems by Deep Neural Networks with Performance Evaluation Using Synthetic Data

    Sep 1, 2026Xiao Zhao, Daniela OelkeTabular LearningTabular Data

  51. Subspace Levenberg Marquardt Algorithms in Training Neural Networks

    Sep 1, 2026M. Duc HoangArtificial Neural NetworksNewton

  52. Are You Thinking What I am Thinking? : Examining Conceptual Separation in Neural Architectures

    Sep 1, 2026Jaee Ponde, Roshni Agarwal, Subhashis BanerjeeNeural ArchitecturesConcept Bottleneck Models

  53. GenONet: A Generative operator Network for High-Resolution Precipitation Nowcasting

    Sep 1, 2026Mohammad Kian Golkar, Luciano Alves de Oliveira, Mohammad KhanjaniPrecipitationGenerative Adversarial Network

  54. DeSyR: A Decoupled Symbolic Recovery Framework with PINN-Guided Structure Search and Physics-Informed Coefficient Refinement

    Sep 1, 2026Pancheng Niu, Jun Guo, Qiaolin He +2Ordinary Differential EquationsNeural Model

  55. Wave Function Backpropagation with Explicit Temporal-Interval Dynamics

    Sep 1, 2026Byunggu Yu, Justin KimBackpropagationNeural Dynamics

  56. A hybrid quantum-classical neural network for learning to route

    Aug 31, 2026Marcus Rolf Peter Ritt, Alexsandro Santos da Rosa Júnior, Marcos Vinicius Reballo +2Quantum Neural NetworksVehicle Routing Problem

  57. AdaptNTK: Adaptive Uncertainty Quantification and Active Learning for Neural Network Potentials

    Aug 31, 2026Prajwal Ananth, Shuwen YueInteratomic PotentialsActive Learning

  58. Context Window Failures in Relational Foundation Models

    Aug 31, 2026Denis Oliveira Correa, Francisco Galuppo AzevedoRelationalTabular Foundation Models

  59. Sharp Approximation Rates for Neural Networks with Affine Latent Parameterizations

    Aug 31, 2026Shijun ZhangNeural-Network ApproximationArtificial Neural Networks

  60. Sparse Competition during Training For the Emergence of Specialized Modules

    Aug 31, 2026Baptiste Rossigneux, Karim HarounDeep Neural NetworkModular Framework