Laetitia Chapel

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 32

Top Topics

Structured Data

Manifold Learning Algorithm

Image Classification

Top Venues

Publications

Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
Hyperbolic prototypical network for few shot remote sensing scene classification. Pattern Recognit. Lett. 177 (2024)
Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS (2023)
Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR (2023)
Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML (2023)
François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR (2023)
Pierre Gloaguen, Laetitia Chapel, Chloé Friguet, Romain Tavenard
Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Mach. Learn. 112 (6) (2023)
Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. IGARSS (2023)
François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) (2023)
Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. CoRR (2022)
Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. 2022 (2022)
Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. ICPRAI (2) (2022)
Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR (2021)
Rémi Flamary, Nicolas Courty, Alexandre Gramfort, Mokhtar Z. Alaya, Aurélie Boisbunon, Stanislas Chambon, Laetitia Chapel, Adrien Corenflos, Kilian Fatras, Nemo Fournier, Léo Gautheron, Nathalie T. H. Gayraud, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer
POT: Python Optimal Transport. J. Mach. Learn. Res. 22 (2021)
Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS (2021)
Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
Time Series Alignment with Global Invariances. CoRR (2020)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms 13 (9) (2020)
Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
Partial Optimal Tranport with applications on Positive-Unlabeled Learning. NeurIPS (2020)
Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. CoRR (2020)
Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
Optimal Transport for structured data with application on graphs. ICML (2019)
Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty
Sliced Gromov-Wasserstein. CoRR (2019)
Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel
Sliced Gromov-Wasserstein. NeurIPS (2019)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR (2018)
Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
Optimal Transport for structured data. CoRR (2018)
Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification. Remote. Sens. 9 (3) (2017)
Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls
Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. 14 (6) (2017)
Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos
Efficient Temporal Kernels Between Feature Sets for Time Series Classification. ECML/PKDD (2) (2017)
Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
A Subpath Kernel for Learning Hierarchical Image Representations. CoRR (2016)
Adeline Bailly, Damien Arvor, Laetitia Chapel, Romain Tavenard
Classification of MODIS time series with Dense Bag-of-Temporal-SIFT-Words: Application to cropland mapping in the Brazilian Amazon. IGARSS (2016)
Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach. CoRR (2016)
Yanwei Cui, Sébastien Lefèvre, Laetitia Chapel, Anne Puissant
Combining multiple resolutions into hierarchical representations for kernel-based image classification. CoRR (2016)
Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
Combining multiscale features for classification of hyperspectral images: A sequence-based kernel approach. WHISPERS (2016)
Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Laetitia Chapel
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. CoRR (2016)
Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
A Subpath Kernel for Learning Hierarchical Image Representations. GbRPR (2015)
Adeline Bailly, Simon Malinowski, Romain Tavenard, Laetitia Chapel, Thomas Guyet
Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML (Revised Selected Papers) (2015)
Sébastien Lefèvre, Laetitia Chapel, François Merciol
Hyperspectral image classification from multiscale description with constrained connectivity and metric learning. WHISPERS (2014)
Laetitia Chapel, Chloé Friguet
Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA. ECML/PKDD (1) (2014)
Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre
PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7 (4) (2014)
Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre
Classwise hyperspectral image classification with PerTurbo method. IGARSS (2012)
Laetitia Chapel, Guillaume Deffuant
Inner and Outer Capture Basin Approximation with Support Vector Machines. ICINCO (1) (2011)
John Keeney, Owen Conlan, Viliam Holub, Miao Wang, Laetitia Chapel, Martin Serrano, Sven van der Meer
A semantic monitoring and management framework for end-to-end services. Integrated Network Management (2011)
Laetitia Chapel, Dmitri Botvich, David Malone
Probabilistic approaches to cheating detection in online games. CIG (2010)
Laetitia Chapel, Douglas J. Leith
Sparse input matrix and state estimation for linear systems. CDC (2010)
Guillaume Deffuant, Laetitia Chapel, Sophie Martin
Approximating Viability Kernels With Support Vector Machines. IEEE Trans. Autom. Control. 52 (5) (2007)