Hyperspherical Representation Learning

Latest papers 16

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  1. Sphere Encoder 2

    Oct 1, 2026Kaiyu Yue, Sean McLeish, Ruchit Rawal +3AutoencodersImage Generation

  2. Understanding Hyperspherical Geometry of ECAPA-TDNN Embedding and Its Impact on Zero-Shot Voice Conversion

    Sep 21, 2026Mathilde Abrassart, Nicolas Obin, Axel RoebelNeural Representation GeometrySpeaker Verification

  3. dRAE: Representation Autoencoder with Hyper-Spherical Codes

    Jul 24, 2026Tianren Ma, Lin Long, Chuyan Chen +4AutoencodersHyperspherical Representation Learning

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

    Jul 15, 2026Zijie Yu, Gaowen Liu, Ramana Rao Kompella +2Latent Variable ModelsHyperspherical Representation Learning

  5. Expanding SPHERE-JEPA: A Family of Statistical Regularizers for the Hypersphere

    Jun 16, 2026Léo Nicollier, Enric Meinhardt-Llopis, Max Dunitz +3Maximum Mean DiscrepancyHyperspherical Representation Learning

  6. Learning Hyperspherical Time-Frequency Representations for Time-Series Out-of-Distribution Detection

    May 29, 2026Willian T. Lunardi, Samridha Shrestha, Martin AndreoniHyperspherical Representation LearningDistribution Shift Detection

  7. SPHERE-JEPA: Spherical Prediction with Homogeneous Embeddings

    May 26, 2026L{é}o Nicollier, Max Dunitz, Marc Pic +3Self-Supervised LearningJoint-Embedding Predictive Architecture

  8. Neural Collapse by Design: Learning Class Prototypes on the Hypersphere

    May 19, 2026Panagiotis Koromilas, Theodoros Giannakopoulos, Mihalis A. Nicolaou +1Prototype-Based ClassificationHyperspherical Representation Learning

  9. MARGIN: Margin-Aware Regularized Geometry for Imbalanced Vulnerability Detection

    May 11, 2026Yuteng Zhang, Huifang Ma, Jiahui Wei +2Class-Imbalanced LearningSoftware Vulnerability Detection

  10. Polaris: Coupled Orbital Polar Embeddings for Hierarchical Concept Learning

    Apr 30, 2026Sahil Mishra, Srinitish Srinivasan, Sourish Dasgupta +1Hierarchical ClassificationHierarchical Representation Learning

  11. Beyond Gaussian Bottlenecks: Topologically Aligned Encoding of Vision-Transformer Feature Spaces

    Apr 30, 2026Andrew Bond, Ilkin Umut Melanlioglu, Erkut Erdem +1Variational AutoencodersHyperspherical Representation Learning

  12. Hyperspherical Forward-Forward with Prototypical Representations

    Apr 30, 2026Shalini Sarode, Brian Moser, Joachim Folz +4Prototype-Based LearningEfficient Neural Network Inference

  13. Frequency-Aware Semantic Fusion with Gated Injection for AI-generated Image Detection

    Apr 30, 2026Shuchang Zhou, Shangkun Wu, Jiwei Wei +4Hyperspherical Representation LearningAI-Generated Image Detection

  14. Self-Supervised Representation Learning via Hyperspherical Density Shaping

    Apr 27, 2026Esteban Rodríguez-Betancourt, Edgar Casasola-MurilloMulti-View LearningHyperspherical Representation Learning

  15. Spherical Cauchy Variational Autoencoders: Heavy Angular Tails and Exact KL Evaluation

    Jun 26, 2025Lukas Sablica, Kurt HornikVariational AutoencodersHyperspherical Representation Learning