Representation Disentanglement

Ask about this topic

Momentum

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

Jul 13Week of Sep 28
View on map

Latest papers 66

All topics
CardsList

  1. UniCSG: Unified High-Fidelity Content-Constrained Style-Driven Generation via Staged Semantic and Frequency Disentanglement

    Apr 20, 2026Jingwei Yang, Ruoxi Wu, Wei Shen +4Constrained Generative ModelingDiffusion Transformer

    China University of Mining and Technology, Beijing, China · OPPO Artificial Intelligence Center, Beijing, China

  2. Structural Instability of Feature Composition

    Apr 18, 2026Yunpeng ZhouFeature SuperpositionTransformer Interpretability

    Whiteknights House, Whiteknights, Reading, RG6 6UR

  3. Hybrid Latents: Geometry-Appearance-Aware Surfel Splatting

    Apr 16, 2026Neel Kelkar, Simon Niedermayr, Klaus Engel +13D Gaussian SplattingMulti-View 3D Reconstruction

    Technical University of Munich, Munich, Germany · Siemens Healthineers, Erlangen, Germany

  4. Quantifying Dimensional Independence in Speech: An Information-Theoretic Framework for Disentangled Representation Learning

    Feb 24, 2026Bipasha Kashyap, Björn W. Schuller, Pubudu N. PathiranaRepresentation DisentanglementSpeech Processing

    NSBE Research Lab, School of Engineering, Deakin University, Australia · Chair of Health Informatics (CHI), TUM University Hospital, Germany · Group on Language, Audio & Music (GLAM), Imperial College London, UK

  5. Learning Domain- and Class-Disentangled Prototypes for Domain-Generalized EEG Emotion Recognition

    Sep 1, 2025Guangli Li, Canbiao Wu, Zhehao Zhou +3Cross-Subject EEG DecodingPrototype-Based Classification

    School of Biological Science and Medical Engineering, Hunan University of Technology, Zhuzhou 412008, China · School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China · Guangdong Provincial Key Laboratory of Biomedical Measurements and Ultrasound Imaging, Shenzhen 518060, China +1

  6. Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders

    Aug 22, 2025David Chanin, Adrià Garriga-AlonsoActivation SparsityLLM Interpretability

    University College London · MATS Research