Neural Network Interpretability

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22 papers in the last four weeks, up 450% on the four weeks before. 0.2% of all new papers.

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  1. From Heads to Neurons: Causal Attribution and Steering in Multi-Task Vision-Language Models

    Apr 20, 2026Qidong Wang, Junjie Hu, Ming JiangMulti-Task LearningCausal Attribution

    Tongji University · University of Wisconsin-Madison

  2. Polysemantic Experts, Monosemantic Paths: Routing as Control in MoEs

    Apr 20, 2026Charles Ye, Bo Yuan, Lee SharkeyLLM InterpretabilityNeural Network Interpretability

    Independent · Georgia Institute of Technology · Goodfire

  3. Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models

    Apr 18, 2026Xinru Yan, Boxi Cao, Yaojie Lu +4Unified Multimodal ModelsNeural Network Interpretability

    University of Chinese Academy of Sciences, Beijing, China · Chinese Information Processing Laboratory, Institute of Software, Chinese Academy of Sciences, Beijing, China

  4. The Query Channel: Information-Theoretic Limits of Masking-Based Explanations

    Apr 17, 2026Erciyes Karakaya, Ozgur ErcetinFeature AttributionExplainable Artificial Intelligence

    *Department of Electrical and Computer Engineering, University of Maryland, College Park, USA · †Faculty of Engineering and Natural Sciences, Sabanci University, Turkiye

  5. ProtoTTA: Prototype-Guided Test-Time Adaptation

    Apr 16, 2026Mohammad Mahdi Abootorabi, Parvin Mousavi, Purang Abolmaesumi +1Prototype-Based LearningTest-Time Adaptation

    University of British Columbia · Queen’s University · Vector Institute

  6. Improving Sparse Autoencoder with Dynamic Attention

    Apr 16, 2026Dongsheng Wang, Jinsen Zhang, Dawei Su +1Sparse AutoencodersNeural Network Interpretability

    College of Computer Science and Software Engineering, Shenzhen University, China

  7. THEIA: Learning Complete Kleene Three-Valued Logic in a Pure-Neural Modular Architecture

    Apr 13, 2026Augustus Haoyang LiNeural Network InterpretabilityCompositional Generalization

    Irvine Valley College Irvine, CA, USA

  8. Dual Path Attribution: Efficient Attribution for SwiGLU-Transformers through Layer-Wise Target Propagation

    Mar 20, 2026Lasse Marten Jantsch, Dong-Jae Koh, Seonghyeon Lee +1Transformer InterpretabilityLLM Interpretability

    Department of Computer Science and Engineering, Kyungpook National University, Daegu, Korea.

  9. Towards Interpretable Framework for Neural Audio Codecs via Sparse Autoencoders: A Case Study on Accent Information

    Mar 18, 2026Shih-Heng Wang, Tiantian Feng, Aditya Kommineni +4Neural Audio CodecsSparse Autoencoders

    University of Southern California, USA

  10. On the Reliability of Cue Conflict and Beyond

    Mar 11, 2026Pum Jun Kim, Seung-Ah Lee, Seongho Park +2Neural Network Interpretability

    Ulsan National Institute of Science & Technology · College of Medicine at Hanyang University · NAVER AI Lab

  11. Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results

    Mar 3, 2026Alberto Miño Calero, Luis Salamanca, Konstantinos E. TatsisFourier Feature EmbeddingsNeural Network Interpretability

    Department of Engineering Cybernetics NTNU, Trondheim, Norway · Swiss Data Science Center (SDSC) ETH Zürich, Zürich, Switzerland

  12. Inelastic Constitutive Kolmogorov-Arnold Networks: A generalized framework for automated discovery of interpretable inelastic material models

    Feb 19, 2026Chenyi Ji, Kian P. Abdolazizi, Hagen Holthusen +2Materials ScienceNeural Network Interpretability

    Computational Mechanics in Medicine, Applied Medical Engineering, RWTH Aachen University Pauwelsstraße 20, 52074 Aachen, Germany · Institute for Continuum and Material Mechanics, Hamburg University of Technology Eißendorfer Straße 42, 21073 Hamburg, Germany · Institute of Applied Mechanics, University of Erlangen-Nuremberg Egerlandstrasse 5, 91058 Erlangen, Germany +1

  13. Mechanistic Evidence for Spectral Structures in Prior-Data Fitted Networks

    Jan 29, 2026Kaustubh Sharma, Srijan Tiwari, Ojasva Nema +1Prior-Data Fitted NetworksNeural Network Interpretability

    Department of Electrical Engineering, Indian Institute of Technology Roorkee (IIT Roorkee), Uttarakhand, India · Department of Metallurgical and Materials Engineering, Indian Institute of Technology Roorkee (IIT Roorkee), Uttarakhand, India

  14. When, How Long and How Much? Interpretable Neural Networks for Time Series Regression by Learning to Mask and Aggregate

    Dec 3, 2025Florent Forest, Amaury Wei, Olga FinkConcept-Based ExplanationsNeural Network Interpretability

    1IMOS Laboratory, EPFL, Lausanne, CH-1015, Switzerland.

  15. Activation-Deactivation: A General Framework for Robust Post-hoc Explainable AI

    Oct 1, 2025Akchunya Chanchal, David A. Kelly, Hana ChocklerExplainable Artificial IntelligenceExplanation Stability

    Department of Informatics King’s College London Strand, WC2R 2LS, London, UK

  16. Neural Logic Networks for Interpretable Classification

    Aug 11, 2025Vincent Perreault, Katsumi Inoue, Richard Labib +1Boolean Function LearningNeural Network Interpretability

    Department of Mathematics and Industrial Engineering Polytechnique Montréal · National Institute of Informatics, Tokyo

  17. Position: Use Sparse Autoencoders to Discover Unknowns

    Jun 30, 2025Kenny Peng, Rajiv Movva, Jon Kleinberg +2Explainable Artificial IntelligenceSparse Autoencoders

    1Cornell University · 2UC Berkeley

  18. Learning Interpretable Differentiable Logic Networks for Tabular Regression

    May 29, 2025Chang Yue, Niraj K. JhaEfficient Neural Network InferenceNeural Network Interpretability

    Department of Electrical and Computer Engineering, Princeton University, Princeton, NJ 08544, USA

  19. Tensorization is a powerful but underexplored tool for compression and interpretability of neural networks

    May 26, 2025Safa Hamreras, Sukhbinder Singh, Román OrúsTensor NetworksNeural Network Interpretability

    Donostia International Physics Center, Paseo Manuel de Lardizabal 4, E-20018 San Sebastián, Spain · Multiverse Computing, Spadina Ave., Toronto, ON M5T 2C2, Canada · Multiverse Computing, Paseo de Miramón 170, E-20014 San Sebastián, Spain

  20. Explainable embeddings with Distance Explainer

    May 21, 2025Christiaan Meijer, E. G. Patrick BosFeature AttributionPerturbation-Based Feature Attribution

    Netherlands eScience Center, Science Park 402, 1098 XH Amsterdam, Netherlands · Center for Information Technology, University of Groningen, P.O. Box 11044, 9700 CA Groningen, Netherlands

  21. Explainable Bayesian deep learning through input-skip Latent Binary Bayesian Neural Networks

    Mar 13, 2025Eirik Høyheim, Lars Skaaret-Lund, Solve Sæbø +1Bayesian Neural NetworksUncertainty Quantification

    Bioinformatics and applied statistics (BIAS), Norwegian University of Life Sciences, Ås, Norway

  22. Compositional Concept-Based Neuron-Level Interpretability for Deep Reinforcement Learning

    Feb 2, 2025Zeyu Jiang, Hai Huang, Xingquan ZuoReinforcement LearningConcept-Based Explanations

    School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China

  23. Derivation of effective gradient flow equations and dynamical truncation of training data in Deep Learning

    Jan 13, 2025Thomas ChenNeural Network InterpretabilityNeural Network Training Dynamics