Laetitia Chapel

51 papers A* 6A 1C 3Journal 27Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Layer by layer, module by module: Choose both for optimal OOD probing of ViT. CoRR Ambroise Odonnat, Vasilii Feofanov, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2026	J	`jnl`	Vision Transformer Finetuning Benefits from Non-Smooth Components. CoRR Ambroise Odonnat, Laetitia Chapel, Romain Tavenard, Ievgen Redko
2025	J	`jnl`	Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity. CoRR Pierre Houedry, Nicolas Courty, Florestan Martin-Baillon, Laetitia Chapel, Titouan Vayer
2025	J	`jnl`	Differentiable Generalized Sliced Wasserstein Plans. CoRR Laetitia Chapel, Romain Tavenard, Samuel Vaiter
2025	J	`jnl`	Multi-Prototype Hyperbolic Learning Guided by Class Hierarchy. Int. J. Comput. Vis. Paul Berg, Léo Buecher, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty
2025	A*	`conf`	One for all and all for one: Efficient computation of partial Wasserstein distances on the line. ICLR Laetitia Chapel, Romain Tavenard
2024	A	`conf`	Horospherical Learning with Smart Prototypes. BMVC Paul Berg, Björn Michele, Minh-Tan Pham, Laetitia Chapel, Nicolas Courty
2024	J	`jnl`	Hyperbolic prototypical network for few shot remote sensing scene classification. Pattern Recognit. Lett. Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
2023	A*	`conf`	Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. NeurIPS Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
2023	J	`jnl`	Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. CoRR Guillaume Mahey, Laetitia Chapel, Gilles Gasso, Clément Bonet, Nicolas Courty
2023	—	`conf`	Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. TAG-ML Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
2023	C	`conf`	Hyperbolic Variational Auto-Encoder for Remote Sensing Scene Embeddings. IGARSS Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
2023	—	`conf`	Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. ECML/PKDD (5) François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
2023	J	`jnl`	Match-And-Deform: Time Series Domain Adaptation through Optimal Transport and Temporal Alignment. CoRR François Painblanc, Laetitia Chapel, Nicolas Courty, Chloé Friguet, Charlotte Pelletier, Romain Tavenard
2023	J	`jnl`	Scalable clustering of segmented trajectories within a continuous time framework: application to maritime traffic data. Mach. Learn. Pierre Gloaguen, Laetitia Chapel, Chloé Friguet, Romain Tavenard
2022	—	`conf`	A Hierarchical Prototypical Network for Few-Shot Remote Sensing Scene Classification. ICPRAI (2) Manal Hamzaoui, Laetitia Chapel, Minh-Tan Pham, Sébastien Lefèvre
2022	J	`jnl`	Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. CoRR Clément Bonet, Laetitia Chapel, Lucas Drumetz, Nicolas Courty
2022	—	`book`	Machine learning for structured data. (Apprentissage machine pour données structurées). Laetitia Chapel
2022	J	`jnl`	Time Series Alignment with Global Invariances. Trans. Mach. Learn. Res. Titouan Vayer, Romain Tavenard, Laetitia Chapel, Rémi Flamary, Nicolas Courty, Yann Soullard
2021	J	`jnl`	POT: Python Optimal Transport. J. Mach. Learn. Res. 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
2021	A*	`conf`	Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. NeurIPS Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
2021	J	`jnl`	Unbalanced Optimal Transport through Non-negative Penalized Linear Regression. CoRR Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso
2020	J	`jnl`	Fused Gromov-Wasserstein Distance for Structured Objects. Algorithms Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2020	J	`jnl`	Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning. CoRR Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
2020	A*	`conf`	Partial Optimal Tranport with applications on Positive-Unlabeled Learning. NeurIPS Laetitia Chapel, Mokhtar Z. Alaya, Gilles Gasso
2020	J	`jnl`	Time Series Alignment with Global Invariances. CoRR Titouan Vayer, Laetitia Chapel, Nicolas Courty, Rémi Flamary, Yann Soullard, Romain Tavenard
2019	A*	`conf`	Optimal Transport for structured data with application on graphs. ICML Titouan Vayer, Nicolas Courty, Romain Tavenard, Laetitia Chapel, Rémi Flamary
2019	A*	`conf`	Sliced Gromov-Wasserstein. NeurIPS Titouan Vayer, Rémi Flamary, Nicolas Courty, Romain Tavenard, Laetitia Chapel
2019	J	`jnl`	Sliced Gromov-Wasserstein. CoRR Titouan Vayer, Rémi Flamary, Romain Tavenard, Laetitia Chapel, Nicolas Courty
2018	J	`jnl`	Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. CoRR Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2018	J	`jnl`	Optimal Transport for structured data. CoRR Titouan Vayer, Laetitia Chapel, Rémi Flamary, Romain Tavenard, Nicolas Courty
2017	—	`conf`	Efficient Temporal Kernels Between Feature Sets for Time Series Classification. ECML/PKDD (2) Romain Tavenard, Simon Malinowski, Laetitia Chapel, Adeline Bailly, Heider Sanchez, Benjamin Bustos
2017	J	`jnl`	Nonlinear Time-Series Adaptation for Land Cover Classification. IEEE Geosci. Remote. Sens. Lett. Adeline Bailly, Laetitia Chapel, Romain Tavenard, Gustau Camps-Valls
2017	J	`jnl`	Scalable Bag of Subpaths Kernel for Learning on Hierarchical Image Representations and Multi-Source Remote Sensing Data Classification. Remote. Sens. Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
2016	J	`jnl`	A Subpath Kernel for Learning Hierarchical Image Representations. CoRR Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
2016	C	`conf`	Classification of MODIS time series with Dense Bag-of-Temporal-SIFT-Words: Application to cropland mapping in the Brazilian Amazon. IGARSS Adeline Bailly, Damien Arvor, Laetitia Chapel, Romain Tavenard
2016	J	`jnl`	Combining multiple resolutions into hierarchical representations for kernel-based image classification. CoRR Yanwei Cui, Sébastien Lefèvre, Laetitia Chapel, Anne Puissant
2016	—	`conf`	Combining multiscale features for classification of hyperspectral images: A sequence-based kernel approach. WHISPERS Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
2016	J	`jnl`	Combining multiscale features for classification of hyperspectral images: a sequence based kernel approach. CoRR Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
2016	J	`jnl`	Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. CoRR Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Laetitia Chapel
2015	—	`conf`	A Subpath Kernel for Learning Hierarchical Image Representations. GbRPR Yanwei Cui, Laetitia Chapel, Sébastien Lefèvre
2015	—	`conf`	Dense Bag-of-Temporal-SIFT-Words for Time Series Classification. AALTD@PKDD/ECML (Revised Selected Papers) Adeline Bailly, Simon Malinowski, Romain Tavenard, Laetitia Chapel, Thomas Guyet
2014	—	`conf`	Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA. ECML/PKDD (1) Laetitia Chapel, Chloé Friguet
2014	—	`conf`	Hyperspectral image classification from multiscale description with constrained connectivity and metric learning. WHISPERS Sébastien Lefèvre, Laetitia Chapel, François Merciol
2014	J	`jnl`	PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre
2012	C	`conf`	Classwise hyperspectral image classification with PerTurbo method. IGARSS Laetitia Chapel, Thomas Burger, Nicolas Courty, Sébastien Lefèvre
2011	—	`conf`	A semantic monitoring and management framework for end-to-end services. Integrated Network Management John Keeney, Owen Conlan, Viliam Holub, Miao Wang, Laetitia Chapel, Martin Serrano, Sven van der Meer
2011	—	`conf`	Inner and Outer Capture Basin Approximation with Support Vector Machines. ICINCO (1) Laetitia Chapel, Guillaume Deffuant
2010	—	`conf`	Probabilistic approaches to cheating detection in online games. CIG Laetitia Chapel, Dmitri Botvich, David Malone
2010	—	`conf`	Sparse input matrix and state estimation for linear systems. CDC Laetitia Chapel, Douglas J. Leith
2007	J	`jnl`	Approximating Viability Kernels With Support Vector Machines. IEEE Trans. Autom. Control. Guillaume Deffuant, Laetitia Chapel, Sophie Martin