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Chapel, Laetitia

  1. Optimal Transport for structured data with application on graphs
    2018/05/23 by Titouan Vayer, Vayer, Titouan, Laëtitia Chapel +7 · 28 citations
    Computer Science · #Complexity and Algorithms in Graphs #Optimization and Search Problems
  2. Sliced Gromov-Wasserstein
    2019/05/24 by Titouan Vayer, Rémi Flamary, Vayer, Titouan +7 · 10 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Medical Image Segmentation Techniques #Advanced Neural Network Applications
  3. Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections
    2022/11/18 by Bonet, Clément, Chapel, Laetitia, Drumetz, Lucas +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  4. Partial Optimal Transport with Applications on Positive-Unlabeled\n Learning
    2020/02/19 by Laëtitia Chapel, Mokhtar Z. Alaya, Chapel, Laetitia +3 · 2 citations
    Arts and Humanities · Computer Science · Dentistry · Engineering · #Advanced Neural Network Applications #Dental Radiography and Imaging #FOS: Computer and information sciences #Forensic Anthropology and Bioarchaeology Studies #Image and Object Detection Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging and Analysis
  5. Differentiable Generalized Sliced Wasserstein Plans
    2025/05/28 by Laetitia Chapel, Laëtitia Chapel, Romain Tavenard +4 · 1 voice · 4 citations
    Physics and Astronomy · Mathematics · #Nonlinear Waves and Solitons #Advanced Algebra and Geometry
  6. Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment
    2023/08/24 by Painblanc, François, Chapel, Laetitia, Courty, Nicolas +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity
    2025/05/27 by Houedry, Pierre, Courty, Nicolas, Martin-Baillon, Florestan +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)