Permutation-Invariant Learning

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4 papers in the last four weeks, with none the four weeks before. 0.0% of all new papers.

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  1. Permutation-Robust Decision Modeling with Candidate-Independent Block-Causal Attention

    Oct 1, 2026Guy AmitPermutation-Invariant LearningAttention Mechanisms

    Independent Researcher

  2. AudioJev: Direct Audio Decisions with Order-Calibrated Probabilities

    Oct 1, 2026Sihan Lv, Zhen Li, Zhiqi Cao +4Audio QAAudio Reasoning

    Zhejiang University, Hangzhou, China · China Academy of Space Technology, Beijing, China · Innovation and Management Center of the School of Software (Ningbo), Zhejiang University, Ningbo, China +2

  3. PI-AMFM: Permutation-Invariant Learning for Variable-Cardinality AM-FM Mode Decomposition in Biomedical Signal Analysis

    Sep 30, 2026Youngsun Kong, Ki H. ChonPermutation-Invariant Learning

    Biomedical Engineering, University of Connecticut, Storrs, CT 06029, USA

  4. Hierarchical and Permutation-Invariant Feature Transformation Learning via Policy-Guided Embedding Search

    Sep 9, 2026Rui Liu, Tao Zhe, Yanyong Huang +5Representation LearningHierarchical Representation Learning

    University of Kansas Lawrence, United States · Southwest University of Finance and Economics Chengdu, China · University of Wisconsin–Madison Madison, United States +3

  5. Matrix Zonotopic Attention: A Context-Adaptive Value Projection for Set Transformers

    Aug 5, 2026Zhen Zhang, Amr AlanwarSet PredictionTransformer Attention

    School of Computation, Information and Technology Technical University of Munich, Germany

  6. Breaking the Periodicity Assumption: Robust Tensorial Multi-View Clustering via Graph-Spectral Low-Rank Learning

    Jul 28, 2026Jintian Ji, Xingsu Li, Songhe FengRepresentation LearningMulti-View Learning

    Computer Science and Engineering The Hong Kong University of Science and Technology Hong Kong, China · School of Computer and Information Technology Beijing Jiaotong University, Beijing, China

  7. Prospective clinical indication, post-hoc report leakage, and fusion design in multi-image chest radiograph classification: a patient-clustered evaluation

    Jul 15, 2026Kamran Shahid, Muhammad Munwar IqbalData LeakageChest X-Ray Classification

    Department of Computer Science, University of Engineering and Technology, Taxila, Pakistan

  8. AeroMELD: A Linear Embedding of Aerosol Populations for Diagnostics and Latent Dynamics

    Jul 13, 2026Ehsan Saleh, Saba Ghaffari, Wenhan Tang +5Representation LearningLatent Dynamics Modeling

    Department of Computer Science, University of Illinois Urbana-Champaign, Urbana, Illinois, USA · National Center for Supercomputing Applications, University of Illinois Urbana-Champaign, Urbana, Illinois, USA · Now at Amazon, Sunnyvale, California, USA +3

  9. Signed-Permutation Coordinate Transport for RMSNorm Transformers

    Jun 30, 2026John SweeneyTransformer InterpretabilityPermutation-Invariant Learning

    Sideplane AI

  10. Field Order Should Not Matter: Permutation-Invariant Embedding Model Fine-Tuning for Structured Metadata Retrieval

    Jun 29, 2026Aivin V. Solatorio, Olivier Dupriez, Rafael MacalabaMultilingual IRInformation Retrieval

    Development Data Group, Office of the Chief Statistician, World Bank Group

  11. Revisiting Structural Dependency in Autoregressive Multi-Task Table Recognition via Order-Independent Cell-Level Representations

    Jun 16, 2026Takaya KawakatsuTable Structure RecognitionMulti-Task Learning

    Preferred Networks, Inc., 1-6-1 Otemachi, Chiyoda, Tokyo, Japan.

  12. A Lightweight Slot-Attention Framework for Multi-Instrument Multi-Pitch Estimation

    May 31, 2026Michael TaenzerSlot AttentionMusic Information Retrieval

    Electronic Media Technology Group Ilmenau University of Technology Ilmenau, Germany

  13. Spatially Distributed Task-Oriented Compression for Multi-Emitter Localization and Characterization with Spectral Overlap

    May 31, 2026H. Nazim Bicer, J. Nicholas LanemanModel CompressionWireless Communications

    Dept. of Electrical Engineering University of Notre Dame Notre Dame, IN, USA

  14. Learning Permutation-invariant Macroscopic Dynamics

    May 29, 2026Zhichao Han, Mengyi Chen, Qianxiao LiDynamical SystemsLatent Dynamics Modeling

    Institute for Functional Intelligent Materials, National University of Singapore · Department of Mathematics, National University of Singapore

  15. Generative Modeling with Orbit-Space Particle Flow Matching

    May 4, 2026Sinan Wang, Jinjin He, Shenyifan Lu +3Flow MatchingOne-Step Generative Modeling

    Georgia Institute of Technology, USA

  16. MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation

    May 2, 2026Ahmed Y. Radwan, Hina TabassumSource-Free Domain AdaptationHuman Activity Recognition

    department of Electrical Engineering and Computer Science, York University, Toronto, ON M3J 1P3, Canada

  17. FrameCrafter: Novel View Synthesis as Video Completion

    Apr 9, 2026Qi Wu, Khiem Vuong, Minsik Jeon +2Video Diffusion ModelsNovel View Synthesis

    Carnegie Mellon University

  18. Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits

    Dec 16, 2025Michael Murray, Tenzin Chan, Kedar Karhadker +1Sample ComplexityNeural Network Memorization

    Mathematical Sciences, University of Bath · Department of Mathematics, UCLA · Algebraic

  19. Strengthening LLMs for Tabular Prediction with Structural Priors

    Oct 20, 2025Pengxiang Cai, Zihao Gao, Wanchen Lian +2Tabular Foundation ModelsRL for Language Models

    The Hong Kong University of Science and Technology (Guangzhou) · Zhejiang University