Representation Disentanglement

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7 papers in the last four weeks, against 2 the four weeks before. 0.1% of all new papers.

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  1. DisFace3DNet: Explainable Facial Attractiveness Prediction via 3D Component Disentanglement

    Oct 8, 2026Fenggui Rao, Yan Luximon, Jie ZhangInterpretable MLRepresentation Disentanglement

    School of Design, The Hong Kong Polytechnic University, Hong Kong, China · School of Design, The Hong Kong Polytechnic University, Hong Kong, China, and the Laboratory for Artificial Intelligence in Design, Hong Kong Science Park, Hong Kong, China · Faculty of Applied Sciences, Macao Polytechnic University, Macau, China

  2. Representation Disentanglement for Fair Chest X-Ray Diagnosis

    Oct 5, 2026Yujie Sun, Ruizhe Li, Xiaowu SunChest X-Ray ClassificationRepresentation Disentanglement

    Academy of Artificial Intelligence and Advanced Technology, Xi’an Jiaotong-Liverpool University, China · Nottingham Biomedical Research Centre, School of Medicine, University of Nottingham, UK

  3. On Color Alignment in VAE Latent Spaces and Its Applications

    Oct 5, 2026Julian D. Santamaria, Kai Wang, Jesús Malo +2Variational AutoencodersImage Generation

    Computer Vision Center · Universitat Aut`onoma de Barcelona · City University of Hong Kong (Dongguan) +1

  4. Revisiting Cross-Reconstruction for Generalizable Deepfake Detection

    Oct 1, 2026Bingjian Yang, Shilei Zhao, Zheng WangImage Forgery DetectionDigital Image Forensics

    National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, China

  5. What Builds the Scene? Luminance Dominates Geometry Formation in 3D Gaussian Splatting

    Sep 30, 2026Rezvan Joshaghani, Steven Cutchin3D Gaussian Splatting3D Reconstruction

    Boise State University

  6. Reason in Style: Discovering and Controlling Style in Language Models

    Sep 30, 2026Ioana Marinescu, Eric Karl Oermann, Kyunghyun ChoUnsupervised LearningLanguage Model Steering

    NYU · NYU & NYU Langone Health

  7. High-probability guarantees for linear accessibility in feature superposition

    Sep 10, 2026Enrico VompaFeature SuperpositionNeural Representation Geometry

    Applied Artificial Intelligence Group Tallinn University of Technology, Estonia

  8. Do speech foundation models really learn words?

    Sep 9, 2026Robin Huo, Ewan DunbarRepresentation LearningSpeech Foundation Models

    University of Toronto, Canada

  9. A Dominant Diffuse Phase in the Sparse Autoencoder Phase Diagram

    Sep 9, 2026Alexis D. PlascenciaFeature SuperpositionRepresentation Disentanglement

  10. Certified Topological Interaction in Neural Representations: Class Disentanglement Is Mostly Pairwise

    Sep 8, 2026Sushovan MajhiDisentangled Representation LearningNeural Representation Geometry

    Data Science Program, George Washington University, Washington, D.C., USA.

  11. Entangled Representations Amplify Collateral Damage in Unlearning

    Sep 2, 2026Evžen Wybitul, Tim G. J. Rudner, Christian Schroeder de WittMachine UnlearningRepresentation Disentanglement

    University of Oxford · University of Toronto

  12. LightAIR: Lightweight Action Inversion and Riemannian Rectification for Text-based Person Anomaly Search

    Aug 10, 2026Yulun Zhang, Zixu Li, Zhiwei Chen +6Representation DisentanglementImage-Text Retrieval

    Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences Shenzhen, China · Shandong University Jinan, China

  13. Support Operation Factorization: Compositional Readout of Frozen Vision Encoders under Controlled Interventions

    Aug 6, 2026Zhongyao Wang, Wanli Ouyang, Taoyong Cui +1Visual Representation LearningRepresentation Disentanglement

    Fudan University · MMLab, The Chinese University of Hong Kong · Department of Computer Science and Engineering, The Chinese University of Hong Kong

  14. MIDAS: Mutual Information Disentanglement with Uncertainty-Aware Fusion for Incomplete Multimodal Sentiment Analysis

    Aug 6, 2026Yuhua Wen, Yingying Zhou, Qifei Li +4Missing-Modality LearningMultimodal Disentangled Representation Learning

    School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing 100876, China · Zhongguancun Academy, Beijing 100094, China · Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China +1

  15. QuerySplat: Decoupling Geometry and Appearance Representations in 3DGS Prediction

    Aug 2, 2026Yinglong Li, Donghui Shen, Xiaoyu Zhang +53D Gaussian SplattingRepresentation Disentanglement

    State Key Laboratory of Virtual Reality Technology and Systems, Beihang University · InSpatio Research · State Key Lab of CAD&CG, Zhejiang University

  16. What to Remove, What to Preserve: Dual-Ambiguity Rectification for All-in-One Image Restoration

    Jul 30, 2026Cencen Liu, Wen Yin, Dongyang Zhang +6Representation LearningRepresentation Disentanglement

    University of Electronic Science and Technology of China · University of Electronic Science and Technology of China, Chengdu, Sichuan, China · Jiigan Technology +1

  17. Controlling Embedding Spaces with Text-Conditioned Transformations

    Jul 24, 2026Joseph Fioresi, Fabian Caba Heilbron, Pankaj Nathani +2Representation DisentanglementMultimodal Embedding

    Institute of Artificial Intelligence, University of Central Florida, USA · ⋆Majority of work done as an intern at Adobe Research · Adobe Research, USA

  18. Scaling Interpretable Transformers with Parity Bottleneck Layers

    Jul 22, 2026Andrew Mack, Kraig Yuheng Tou, Mark Henry +2Feature SuperpositionTransformer Interpretability

    Principles of Intelligence · Independent

  19. Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence

    Jul 20, 2026Katarzyna Filus, Sebastian PokucińskiRepresentation DisentanglementSparse Autoencoders

    Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Bałtycka 5, 44-100 Gliwice, Poland · Department of Applied Informatics, Silesian University of Technology, Akademicka 16, 44-100 Gliwice, Poland

  20. Coordinated Disentanglement with Iterative Mode Discovery Under Hidden Correlations

    Jul 19, 2026Rong Hu, Ling ChenDisentangled Representation LearningLatent Variable Models

    State Key Laboratory of Blockchain and Data Security, Zhejiang University, Hangzhou, China · College of Computer Science and Technology, Zhejiang University, Hangzhou, China

  21. MultiLoReFT: Decoupling Shared and Modality-Specific Subspaces in Multimodal Learning via Low-Rank Representation Fine-Tuning

    Jul 18, 2026Sana Tonekaboni, Viktoria Schuster, Caroline UhlerCross-Modal Representation LearningMultimodal Disentangled Representation Learning

    Massachusetts Institute of Technology, Cambridge, MA, USA · Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard, Cambridge, MA, USA · Vector Institute, Toronto, Canada +1

  22. OFD-Net: Teacher-Free Reliable Semi-supervised Medical Image Segmentation with Orthogonal Feature Disentanglement Net of Foreground-Background

    Jul 18, 2026Shao-feng Jiang, Zhe-yang Jing, Qin Lu +4Representation DisentanglementSemi-Supervised Medical Image Segmentation

    Department of Biomedical Engineering, and the Key Laboratory of Nondestructive Testing, Ministry of Education, Nanchang Hangkong University, Nanchang 330063, China

  23. OrDA: Orthogonal Disentanglement of Access Habits Framework for Homepage Marketing Block Recommendations

    Jul 15, 2026Lingxiao Zhang, Xiaobo Li, Tao XuRepresentation DisentanglementRecommender Systems

    Ant Group · Hangzhou, Zhejiang, China

  24. AutoSIFT: Automatic Style Sifting for Controllable Speech Generation with Arbitrary Style Infilling

    Jul 14, 2026Haowei Lou, Junda Wu, Chengkai Huang +4TTS SynthesisRepresentation Disentanglement

    UNSW Sydney · University of California San Diego · Macquarie University +1

  25. Contrastive-Augmented Flow Matching for Style-Content Disentanglement

    Jul 14, 2026Yusong Li, Pingchuan Ma, Ming Gui +2Flow MatchingDisentangled Representation Learning

    Computer Vision & Learning Group at the University of Munich

  26. Demonstration of the common dual-channel feature decoupling characteristic of front-door mediation causal inference methods in whole-slice image classification

    Jul 14, 2026Zhirui Zhang, Tianhang Nan, Yong Ding +3Representation DisentanglementHistopathology Image Classification

    College of Medicine and Biological Information Engineering, Northeastern University, China

  27. Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images

    Jun 30, 2026Jisung Park, Seohyeon Kang, Daeun Yoo +8Feature SuperpositionNeural Representation Geometry

    1KAIST · 2Konyang University · 4UCL Queen Square Institute of Neurology & The Francis Crick Institute +1

  28. Beyond Cross-Reconstruction: Probing-Based Disentanglement Evaluation for Acoustic Teleportation Codecs

    Jun 30, 2026Philipp Grundhuber, Emanuël A. P. HabetsDisentangled Representation LearningNeural Audio Codecs

    Fraunhofer Institute for Integrated Circuits (IIS), Erlangen, Germany · International Audio Laboratories Erlangen∗, Erlangen, Germany

  29. C2^{2}R: Cross-sample Consistency Regularization Mitigates Feature Splitting and Absorption in Sparse Autoencoders

    Jun 29, 2026Haoran Jin, Xiting Wang, Shijie Ren +2LLM InterpretabilityRepresentation Disentanglement

    University of Science and Technology of China · State Key Laboratory of Cognitive Intelligence · Gaoling School of Artificial Intelligence, Renmin University of China

  30. Estimating Grammatical Gender Directions in Contextual Embeddings under Controlled and Natural Contexts

    Jun 29, 2026Huanping Xiao, Yingji LiGender Bias in Language ModelsRepresentation Disentanglement

    College of Foreign Languages and Cultures, Jilin University, Changchun, Jilin Province, China · College of Computer Science and Technology, Jilin University, Changchun, Jilin Province, China