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Mechanistic Interpretability435 papersModel Interpretability269 papersMechanistic Interpretability159 papersInterpretable Models38 papersInterpretable Diabetic Retinopathy Grading25 papersInterpretive Openness25 papers

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  1. SPOTting the Future: Lookahead Explanations for Deep Reinforcement Learning

    Jul 28, 2026Tamar Gozlan, Claudia V. GoldmanDeep Reinforcement LearningExponential Horizon Dependence

  2. Explainable Reinforcement Learning via Physics-Aware Policy Distillation

    Jul 27, 2026Shaker Al-Tamari, Waled KadourIterative Reinforcement LearningDeep Reinforcement Learning

  3. Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects

    Jul 27, 2026Phu Gia Hoang, Anwoy Chatterjee, Tanmoy Chakraborty +2Sparse Autoencoder FeaturesSubspace Intervention Framework

  4. DeepFaith: Evidence-Grounded LLMs for Faithful Incident Reporting in Multi-Stage APT Defense

    Jul 27, 2026Trung V. Phan, Tri Gia Nguyen, Thomas BauschertIncident ResponseAttack Detection

  5. MarineEVT: Advancing Event-Centric Marine Video Understanding via Visual Tool Reasoning

    Jul 27, 2026Tuan-An To, Yuk-Kwan Wong, Tuan-Anh Vu +2Video UnderstandingLarge Vision Language Models

  6. Modeling Stylistic Co-evolution in Symbolic Music Heritage Collections

    Jul 27, 2026Yulong He, Ivan Smirnov, Yanming LiSheet MusicHarmonization

  7. Sparse Gaussian-Mixture-Model Q-Functions via Hadamard Overparametrization for Online Reinforcement Learning

    Jul 26, 2026Minh Vu, Konstantinos SlavakisOffline Reinforcement LearningRiemannian Optimization

  8. Dysphagia Risk Stratification in Head and Neck Cancer via Two-Stage PRO-Clinical Stacking

    Jul 24, 2026Siyuan Zhao, Eric Ababio Anyimadu, Zachary G. Brumm +5Non-Small Cell Lung CancerPrognostics

  9. Industrial Tokenization for LLM-Based Health Intelligence: A Federated Architecture for Industrial Evidence Integration

    Jul 24, 2026Deshui Li, Xiao-Ming Yuan, Zishun WangVibration

  10. CommandLM: Data driven behavior level descriptor for ego vehicles

    Jul 24, 2026Boris Tokic, Constantin Selzer, Fabian B. FlohrAutonomous DrivingMultimodal Fusion

  11. Alleviating Regional Shortcuts for Few-Shot Class-Incremental Learning

    Jul 24, 2026Haichen Zhou, Yazhe Lyu, Yixiong Zou +2Domain Incremental LearningFew-Shot Learning

  12. Neural Feature Governance: Extending Atom Prevalence

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

  13. Enhancing Explainable Cardiac Diagnosis with Guide-Grounded Multimodal LLMs

    Jul 23, 2026Hai-Nam Duy Vuong, Duy-Anh Bui, Trong-Nghia Nguyen +5Electrocardiogram ClassificationPediatric-Adult Electrocardiogram Alignment

  14. Small, Free, and Effective: Orchestrating Open-Weight Small Language Models to Outperform Single LLM for Malware Analysis

    Jul 22, 2026Adel ElZemity, Shujun Li, Budi AriefMalware DetectionSmall Language Models

  15. fSRD: Fuzzy Spectral Region Decomposition -- Automated Multi Operator Koopman Representations via an Adaptive Spectral Learning Architecture

    Jul 20, 2026Charles Bokor, Mark Cary, Denise Morrey +1Koopman OperatorChaos

  16. AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning

    Jul 20, 2026Yuliang Liu, Haisu Guan, Pengjie Wang +11OraclesLatin

  17. What does a Bayes-filtered transformer believe? A predictive Monte Carlo approach

    Jul 19, 2026Afiq Abdillah Effiezal Aswadi, Haotong Ma, Susan WeiPosteriorNext-Token Prediction

  18. AI-Augmented Model Predictive Control for Safe and Adaptive Rendezvous and Proximity Operations

    Jul 18, 2026Luca Sportelli, Tyler Barr, Cagri Kilic +1Model Predictive ControlProximity Operations

  19. A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance

    Jul 17, 2026Andrea FerrarioTrustworthy Artificial IntelligenceArtificial Intelligence Evaluation

  20. Benchmarking Multimodal Large Language Models for Scientific Visualization Literacy

    Jul 16, 2026Patrick Phuoc Do, Chau M. Ta, Chaoli WangMultimodal LearningVisual Analytics

  21. Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions

    Jul 15, 2026Zachary IzzoMechanistic InterpretabilityTraining Data

  22. Music-to-Dance Generation via Atomic Movements

    Jul 15, 2026Xinhao Cai, Yixuan Sun, Minghang Zheng +4DuetMusic Generation

  23. The Hyperspherical Geometry of CLIP Latent Space: A Semantic Mixture Model

    Jul 15, 2026Zijie Yu, Gaowen Liu, Ramana Rao Kompella +2Hyperbolic SpaceMixture Models

  24. A Model for Mediating Multi-Modal Human Intent into Safe Maneuvers for UAVs

    Jul 13, 2026Sofia Nelson, Dalal Alrajeh, Pedro Antonio Alarcon Granadeno +1Multi-Uav SystemsUnmanned Aerial Vehicles

  25. Heuristic Learning for Active Flow Control Using Coding Agents

    Jul 13, 2026Paul Garnier, Jonathan Viquerat, Elie HachemDeep Reinforcement LearningHeuristics

  26. Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data

    Jul 10, 2026Valentin Gabeff, Baptiste Maquignaz, Jennifer Shan +5Video SurveillanceTemporal Action Localization

  27. All you need is SAMPAT

    Jul 10, 2026Jayadeva, Madhur AswaniModel InterpretabilityNeural Architectures

  28. Biologically Informed Deep Neural Networks for Multi-Omic Integration, Pathway Activity Inference and Risk Stratification in Cancer

    Jul 6, 2026Pedro Henrique da Costa Avelar, Le Ou-Yang, Min Wu +1Multi-Omic FrameworkModel Interpretability

  29. Platonic Projection Structures: Operator-Induced Observability in Representation Learning

    Jul 6, 2026Kazuo Ishii, Bishnu Prasad Gautam, Jieling Wu +1Partial ObservabilityRepresentation Space

  30. Machine Learning for Depression Screening and Intervention: an Original Circadian Rhythm Score-based Methodology

    Jul 6, 2026Bin Wang, Shuo Lian, Yuanyuan Hou +5Depression DetectionSleep