Multilayer Perceptrons

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Period ending 2026-09-21

2 new papers

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Period ending 2026-09-14

5 new papers

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Period ending 2026-09-07

3 new papers

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118 papers

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  1. Safety Beyond the Interface: Detecting Harm via Latent States in Large Language Models

    Sep 16, 2026Alizishaan Khatri, Chiquita Prabhu, Omkar NeogiLarge Language Model SafetyHarms

  2. Scaling Clinical Judgment to Evaluate Medical AI

    Sep 14, 2026Thomas A. Buckley, Zahir Kanjee, Peter G. Brodeur +14Clinical ReasoningOpen-Ended Responses

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

    Sep 12, 2026Kyle Stein, Guillermo Francia III, Eman El-Sheikh +1SatelliteAttack Detection

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

    Sep 9, 2026Fang LiGraph Language ModelsBidirectional Long Short-Term Memory

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

    Sep 8, 2026Yuwen ChiuDepression DetectionEarly Warning

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

    Sep 2, 2026Wenhui Chen, Zhifeng Li, Jie Zhou +5Large Language Model CompressionBatch Distillation

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

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

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

    Sep 1, 2026Skanda Athreya, Yutong WangTransformer LayersMulticlass Classification

  9. Multiclass Linear Perceptrons with Multiplicative Margins

    Aug 30, 2026Dmitri Rachkovskij, Evgeny Osipov, Olexander Volkov +2Multiclass ClassificationBias Learning

  10. Revenge of Monosemanticity: Neuron Specialization as a New Form of Feature Learning in MLPs

    Aug 25, 2026Amirhesam Abedsoltan, Enric Boix-Adsera, Fivos Kalogiannis +1Feature LearningMultilayer Perceptrons

  11. A concentration result for multilayer feedforward neural networks

    Aug 15, 2026Vera KoponenNeural NetworkMultilayer Perceptrons

  12. Neural Quadratic Forms: A Unified Minimal Model for Sudden Learning and Scaling Laws

    Aug 13, 2026Liu Ziyin, Yizhou Xu, Tomaso Poggio +1Two-Layer Neural NetworksPower-Law Distribution

  13. Localizing Safety Alignment: MLP Layers and Mid-Network Blocks Encode Refusal Behavior in Large Language Models

    Aug 12, 2026Mingyu Zong, Sampad Mohanty, Bhaskar KrishnamachariSafety AlignmentLarge Language Model Alignment

  14. Invertible Logits Transformation for Accuracy-Preserving Post-Hoc Uncertainty Calibration

    Aug 11, 2026Lening Zhao, Qipeng Zhan, Li ShenLogit LensPost-Hoc

  15. From Recovery to Drop-off: How Action Post-training Reduces a VLM's Late-Layer Depth Decodability

    Aug 9, 2026Alexander Hackett, Arnaud Denis-Remillard, Axel CassouVision-Language-Action ModelsLarge Vision Language Models

  16. Do All LLMs Know When They're Being Harmful? A Reproducibility Study of Latent-Space Safety Probes Across Model Families

    Aug 8, 2026Alizishaan Khatri, Dun Li ChanLarge Language Model SafetyModel Activations

  17. Variational Bounds for Perceptron Learning from Structured Data

    Aug 5, 2026Francesco Camilli, Pierluigi Contucci, Federica Gerace +1VariationalEmpirical Risk Minimization

  18. Attention-based representations for multi-task computation

    Aug 4, 2026Daniel Hsu, Mingyue XuMulti-Head Self-AttentionAttention-Based Models

  19. A Comparative Analysis of MLP and Kolmogorov-Arnold Networks (KAN) for Faster-than-Nyquist (FTN) Signaling Detection

    Aug 3, 2026Sude Ertan, Osman Tokluoglu, Enver CavusKolmogorov-Arnold NetworksMultilayer Perceptrons

  20. Statistical Mechanics of Learning on Product Wasserstein Manifolds

    Aug 2, 2026Srinivasa Rao P Vangmayi P ReddyWasserstein DistanceDistributional Learning

  21. A Few Neurons Reveal When LLMs Misuse Tools: Sparse Detection and Selective Steering for Reliable Tool Use

    Jul 31, 2026Yutong Ke, Ming Yin, Chongwen Zhao +1Multilayer PerceptronsSteering

  22. Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations

    Jul 30, 2026Pere Martra, Eugenio Martínez Cámara, Alfonso Ureña LópezLarge Language Model BiasBias Mitigation

  23. From Conceptual Hydrologic Models to Conceptually Interpretable Neural Networks: A Snow-Water Mass-Conserving-Perceptron Framework for Discovering Catchment-Scale Precipitation-Storage-Runoff Representations

    Jul 29, 2026Yuan-Heng Wang, Hoshin V. GuptaFundamental Hydrological PrinciplesMultilayer Perceptrons

  24. Minimizing Targeted Activations: Input-Only Suppression of Evaluation-Awareness Latents in Large Language Models

    Jul 28, 2026Deepanshu Mody, Samarth Agarwal, Utkarsh Mittal +1Model ActivationsLarge Language Model Safety

  25. LLMs Can Annotate Attribution Graphs

    Jul 28, 2026Ameen Patel, Max Zhang, Nathan HuMultilayer PerceptronsMulti-Hop Reasoning

  26. Towards simultaneous decoding of kinetic and kinematic movement parameters during grasp and lift task by noninvasive brain imaging

    Jul 27, 2026Parth G. Dangi, Yogesh Kumar MeenaBrain-Computer InterfaceStroke

  27. Self-organizing Architecture of Receptron Units: a Hardware-Aware Framework for Edge Intelligence

    Jul 22, 2026Stefano Radice, Ludovico Casaccia, Riccaro Emanuele Beccalli +2Neuromorphic HardwareHeterogeneous Edge Devices

  28. Differentiable Logic Gate Networks for Low-Latency EEG Classification on Edge Devices

    Jul 20, 2026Shyamal Y. Dharia, Stephen D. Smith, Camilo E. ValderramaDifferentiable Logic Gate NetworksBrain-Computer Interface

  29. How to Build Marcus's Algebraic Mind: From Thagard's Brain--Mind Viewpoint

    Jul 18, 2026Hiroyuki Chuma, Kanji Otsuka, Yoichi SatoAlgebraic StructuresIn-Memory Computing

  30. (MPO)^2: Multivariate Polynomial Optimization based on Matrix Product Operators

    Jul 17, 2026Niccolò Ciolli, Anders Vestergaard Nørskov, Michael Kastoryano +2PolynomialsTensor Programs

  31. Kolmogorov--Arnold Networks for Small Language Models

    Jul 17, 2026Felippe Alves, Renato VicenteKolmogorov-Arnold NetworksFeed-Forward Network

  32. Seeing the End at Step Zero: Accelerating Diffusion MLLMs via MLP Sparsity-Aware Truncation

    Jul 16, 2026Qicheng Zhao, Qi Sun, Zheyu YanDiffusion Language ModelsLLM Inference Efficiency

  33. Is the Statistical Advantage Worth the Cost? An Empirical Comparison of KANs and MLPs for Structured Data Classification

    Jul 15, 2026Matthew Steven P. Toledo, Justine Raphael H. Jacinto, Vivekjeet Singh Chambal +3Kolmogorov-Arnold NetworksMultilayer Perceptrons

  34. How to Tame Grokking: Representation Geometry as a Control Signal

    Jul 13, 2026Maksim A KazanskiiGrokkingMultilayer Perceptrons

  35. PRISM Edit: One Vector for All Temporal Answers

    Jul 13, 2026Chen Huang, Qi Zheng, Ruiqin Zheng +2Multimodal Knowledge EditingPrism

  36. MLPs are Hebbians: Constructing Efficient Fact-Storing MLPs for Transformers

    Jul 10, 2026Roberto Garcia, Jerry Liu, Ronny Junkins +3Large Language Model MemoryTransformer Architectures

  37. Sensitivity-Aware Thresholding and Token Routing for Activation Sparsification in Large Language Models

    Jul 9, 2026Bishmoy Paul, Youngmin Yi, Hoeseok YangSparse Expert ActivationToken-Level Uncertainty

  38. TabPack: Efficient Hyperparameter Ensembles for Tabular Deep Learning

    Jul 6, 2026Yury Gorishniy, Akim Kotelnikov, Ivan Rubachev +1Tabular LearningHyperparameter Optimization

  39. Characterizing Optimizer-Dependent Training Dynamics Through Hessian Eigenvector Displacement and Localization

    Jun 29, 2026Marcelina Marjankowska, Valerio Modugno, Paolo BaruccaCondition NumberCurvature

  40. Counterfactual Residual Data Augmentation for Regression

    Jun 26, 2026Hossein Mohebbi, Oliver Schulte, Ke Li +1Synthetic Data AugmentationMultilayer Perceptrons

  41. S-GAI: Spectral Geometry-Aware Initialization for Sigmoidal MLPs -- From Dataset Geometry to Network Weights

    Jun 26, 2026Yi-Shan ChuMultilayer PerceptronsModel Weights

  42. Aurora: A Leverage-Aware Spectral Optimizer

    Jun 26, 2026Alec Dewulf, Dhruv Pai, Li Yang +2Muon OptimizerMultilayer Perceptrons

  43. Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs

    Jun 25, 2026Miguel Jaraiz, Fermin Gutierrez, Pablo Yeste +4Kolmogorov-Arnold NetworksAerodynamics

  44. Delta-Position Estimation-Based IMU Odometry: A Comparison of MLP and Kolmogorov-Arnold Networks

    Jun 24, 2026Osman Tokluoglu, Emin KeresteciInertial OdometryOdometry

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

    Jun 20, 2026Nathan BreslowMultilayer PerceptronsActivation Functions

  46. LIG: Layer-wise Integrated Gradients for Within-Layer Flow Analysis in Transformers

    Jun 19, 2026Eight Suzuki, Hideitsu Hino, Noboru MurataTransformer LayersTransformer Architectures

  47. Blended Chart Surfaces: A Seamless Explicit Representation for Smooth Surface Fitting

    Jun 16, 2026Romy Williamson, Niloy MitraHigh-Fidelity Surface ReconstructionMeshes

  48. KANLib -- A Modular, Extensible and Fast Kolmogorov-Arnold Network Implementation

    Jun 16, 2026Julian Hoever, Gregor SchieleKolmogorov-Arnold NetworksMultilayer Perceptrons

  49. The Discrete-Log Clock: How a Transformer Learns Modular Multiplication

    Jun 16, 2026Huu Danh NguyenModular AdditionTransformer Architectures

  50. Neuron Level Analysis of Large Language Model in Legal Domain Reasoning

    Jun 14, 2026Eri Onami, Youmi Ma, Shuhei Kurita +1Legal DomainMultilayer Perceptrons

  51. Transformers Learn the Mestre-Nagao Heuristic

    Jun 13, 2026Pranav Venkata KondaTransformer EncoderTransformer Architectures

  52. The Mathematics of AI Winters: The mathematical Taxonomy of Paradigm Fragility in AI Winter

    Jun 10, 2026Miquel Noguer i Alonso, David Pacheco AznarArtificial Intelligence ResearchArtificial Intelligence Systems

  53. Learning Entropy and Spatial Adaptation Dynamics of Multilayer Perceptrons for Structural Point Extraction

    Jun 8, 2026Jan Glaser, Ivo Bukovsky, Marcel JirinaSpatial RepresentationMultilayer Perceptrons

  54. Now You (Still) See Me: Detecting Evasive Steganographic Payloads in LLMs

    Jun 8, 2026Charles Westphal, Timothy Douglas, Keivan Navaie +2SteganographyLanguage Model Evasion Attacks

  55. Modeling Nonlinear Feature Interactions with Product-Unit Residual Networks

    Jun 5, 2026Ziyuan Li, Uwe Jaekel, Babette DellenHigher-Order CorrelationsMultilayer Perceptrons

  56. Architecture Shapes Transfer Specificity in Implicit Neural Representations

    Jun 5, 2026D Yang EngImplicit Neural RepresentationsNeural Architectures

  57. Jacobi-Anger Method for Deterministic Initialization in Implicit Neural Representation

    Jun 4, 2026Mohammed Alsakabi, Kejia Hu, John M. Dolan +1Implicit Neural RepresentationsMultilayer Perceptrons

  58. Consistency Training Along the Transformer Stack

    Jun 4, 2026Sukrati Gautam, Neil Shah, Arav Dhoot +7Safety AlignmentMisalignment

  59. Activation-Based Active Learning for In-Context Learning: Challenges and Insights

    Jun 3, 2026Yaseen M. Osman, Geoff V. Merrett, Stuart E. MiddletonIn-Context LearningModel Activations

  60. An Empirical Audit of Input Encoders for Multi-Channel Signal Transformers

    Jun 3, 2026Ossi LehtinenTransformer EncoderEncoders