Image-Based Virtual Camera Motion Strategies. - Éric Marchand; Nicolas Courty (Graphics Interface, 2000)

Through-the-eyes control of a virtual humanoid. - Nicolas Courty; Éric Marchand; Bruno Arnaldi (CA, 2001)

Computer Animation: a new Application for Image-based Visual Servoing. - Nicolas Courty; Éric Marchand (ICRA, 2001)

Controlling a camera in a virtual environment. - Éric Marchand; Nicolas Courty (Vis. Comput., 2002)

A new application for saliency maps: synthetic vision of autonomous actors. - Nicolas Courty; Éric Marchand; Bruno Arnaldi (ICIP (3), 2003)

Visual perception based on salient features. - Nicolas Courty; Éric Marchand (IROS, 2003)

Embodied in a Look: Bridging the Gap between Humans and Avatars. - Nicolas Courty; Gaspard Breton; Danielle Pelé (IVA, 2003)

A Cinematography System for Virtual Storytelling. - Nicolas Courty; Fabrice Lamarche; Stéphane Donikian; Éric Marchand (International Conference on Virtual Storytelling, 2003)

Simulation of large crowds in emergency situations including gaseous phenomena. - Nicolas Courty; Soraia Raupp Musse (Computer Graphics International, 2005)

Captured Motion Data Processing for Real Time Synthesis of Sign Language. - Alexis Héloir; Sylvie Gibet; Franck Multon; Nicolas Courty (Gesture Workshop, 2005)

Virtual humanoids endowed with expressive communication gestures : the HuGEx project. - Nasser Rezzoug; Philippe Gorce; Alexis Héloir; Sylvie Gibet; Nicolas Courty; Jean-François Kamp; Franck Multon; Catherine Pelachaud (SMC, 2006)

Temporal alignment of communicative gesture sequences. - Alexis Héloir; Nicolas Courty; Sylvie Gibet; Franck Multon (Comput. Animat. Virtual Worlds, 2006)

Exact Principal Geodesic Analysis for data on SO(3). - Salem Said; Nicolas Courty; Nicolas Le Bihan; Stephen J. Sangwine (EUSIPCO, 2007)

Data-Driven Animation of Crowds. - Nicolas Courty; Thomas Corpetti (MIRAGE, 2007)

Crowd motion capture. - Nicolas Courty; Thomas Corpetti (Comput. Animat. Virtual Worlds, 2007)

Inverse Kinematics Using Sequential Monte Carlo Methods. - Nicolas Courty; Elise Arnaud (AMDO, 2008)

Bilateral human motion filtering. - Nicolas Courty (EUSIPCO, 2008)

Evaluating Data-Driven Style Transformation for Gesturing Embodied Agents. - Alexis Héloir; Michael Kipp; Sylvie Gibet; Nicolas Courty (IVA, 2008)

Accelerating 3D Non-Rigid Registration Using Graphics Hardware. - Nicolas Courty; Pierre Hellier (Int. J. Image Graph., 2008)

Crowd Flow Characterization with Optimal Control Theory. - Pierre Allain; Nicolas Courty; Thomas Corpetti (ACCV (2), 2009)

A Database Architecture for Real-Time Motion Retrieval. - Charly Awad; Nicolas Courty; Sylvie Gibet (CBMI, 2009)

A Combined Semantic and Motion Capture Database for Real-Time Sign Language Synthesis. - Charly Awad; Nicolas Courty; Kyle Duarte; Thibaut Le Naour; Sylvie Gibet (IVA, 2009)

Motion Compression using Principal Geodesics Analysis. - Maxime Tournier; Xiaomao Wu; Nicolas Courty; Elise Arnaud; Lionel Revéret (Comput. Graph. Forum, 2009)

Why Is the Creation of a Virtual Signer Challenging Computer Animation? - Nicolas Courty; Sylvie Gibet (MIG, 2010)

Conditional stochastic simulation for character animation. - Nicolas Courty; Anne Cuzol (Comput. Animat. Virtual Worlds, 2010)

PerTurbo: A New Classification Algorithm Based on the Spectrum Perturbations of the Laplace-Beltrami Operator. - Nicolas Courty; Thomas Burger; Johann Laurent (ECML/PKDD (1), 2011)

The SignCom system for data-driven animation of interactive virtual signers: Methodology and Evaluation. - Sylvie Gibet; Nicolas Courty; Kyle Duarte; Thibaut Le Naour (ACM Trans. Interact. Intell. Syst., 2011)

A classwise supervised ordering approach for morphology based hyperspectral image classification. - Nicolas Courty; Erchan Aptoula; Sébastien Lefèvre (ICPR, 2012)

Classwise hyperspectral image classification with PerTurbo method. - Laetitia Chapel; Thomas Burger; Nicolas Courty; Sébastien Lefèvre (IGARSS, 2012)

Fast Motion Retrieval with the Distance Input Space. - Thibaut Le Naour; Nicolas Courty; Sylvie Gibet (MIG, 2012)

Geodesic Analysis on the Gaussian RKHS Hypersphere. - Nicolas Courty; Thomas Burger; Pierre-François Marteau (ECML/PKDD (1), 2012)

Contributions aux schémas d'Analyse/Synthèse en Animation par ordinateur. (Contributions to Analysis/Synthesis Schemes in Computer Animation). - Nicolas Courty (2013)

Ground Truth for Pedestrian Analysis and Application to Camera Calibration. - Clement Creusot; Nicolas Courty (CVPR Workshops, 2013)

A Kernel View on Manifold Sub-sampling Based on Karcher Variance Optimization. - Nicolas Courty; Thomas Burger (GSI, 2013)

Mitosis detection in breast cancer histological images with mathematical morphology. - Erchan Aptoula; Nicolas Courty; Sébastien Lefèvre (SIU, 2013)

Spatiotemporal coupling with the 3D+t motion Laplacian. - Thibaut Le Naour; Nicolas Courty; Sylvie Gibet (Comput. Animat. Virtual Worlds, 2013)

An end-member based ordering relation for the morphological description of hyperspectral images. - Erchan Aptoula; Nicolas Courty; Sébastien Lefèvre (ICIP, 2014)

Network-Based Correlated Correspondence for Unsupervised Domain Adaptation of Hyperspectral Satellite Images. - Julien Rebetez; Devis Tuia; Nicolas Courty (ICPR, 2014)

Domain Adaptation with Regularized Optimal Transport. - Nicolas Courty; Rémi Flamary; Devis Tuia (ECML/PKDD (1), 2014)

Optimal crowd editing. - Pierre Allain; Nicolas Courty; Thomas Corpetti (Graph. Model., 2014)

SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding. - Nicolas Courty; Xing Gong; Jimmy Vandel; Thomas Burger (Mach. Learn., 2014)

Using the Agoraset dataset: Assessing for the quality of crowd video analysis methods. - Nicolas Courty; Pierre Allain; Clement Creusot; Thomas Corpetti (Pattern Recognit. Lett., 2014)

Unsupervised dense crowd detection by multiscale texture analysis. - Antoine Fagette; Nicolas Courty; Daniel Racoceanu; Jean-Yves Dufour (Pattern Recognit. Lett., 2014)

PerTurbo Manifold Learning Algorithm for Weakly Labeled Hyperspectral Image Classification. - Laetitia Chapel; Thomas Burger; Nicolas Courty; Sébastien Lefèvre (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014)

Multitemporal classification without new labels: A solution with optimal transport. - Devis Tuia; Rémi Flamary; Alain Rakotomamonjy; Nicolas Courty (MultiTemp, 2015)

Generalized conditional gradient: analysis of convergence and applications. - Alain Rakotomamonjy; Rémi Flamary; Nicolas Courty (CoRR, 2015)

A new penalisation term for image retrieval in clique neural networks. - Romain Huet; Nicolas Courty; Sébastien Lefèvre (ESANN, 2016)

Optimal transport for data fusion in remote sensing. - Nicolas Courty; Rémi Flamary; Devis Tuia; Thomas Corpetti (IGARSS, 2016)

Unsupervised classifier selection approach for hyperspectral image classification. - Bharath Bhushan Damodaran; Nicolas Courty; Sébastien Lefèvre (IGARSS, 2016)

Optimal spectral transportation with application to music transcription. - Rémi Flamary; Cédric Févotte; Nicolas Courty; Valentin Emiya (NIPS, 2016)

Mapping Estimation for Discrete Optimal Transport. - Michaël Perrot; Nicolas Courty; Rémi Flamary; Amaury Habrard (NIPS, 2016)

Supervised planetary unmixing with optimal transport. - Sina Nakhostin; Nicolas Courty; Rémi Flamary; Thomas Corpetti (WHISPERS, 2016)

Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions. - Devis Tuia; Rémi Flamary; Nicolas Courty (CoRR, 2016)

Joint Anomaly Detection and Spectral Unmixing for Planetary Hyperspectral Images. - Sina Nakhostin; Harold Clenet; Thomas Corpetti; Nicolas Courty (IEEE Trans. Geosci. Remote. Sens., 2016)

Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images. - Bharath Bhushan Damodaran; Nicolas Courty; Romain Tavenard (IGARSS, 2017)

Hyperspectral and multispectral wasserstein barycenter for image fusion. - Jamila Mifdal; Bartomeu Coll; Nicolas Courty; Jacques Froment; Béatrice Vedel (IGARSS, 2017)

Joint distribution optimal transportation for domain adaptation. - Nicolas Courty; Rémi Flamary; Amaury Habrard; Alain Rakotomamonjy (NIPS, 2017)

Data Dependent Kernel Approximation using Pseudo Random Fourier Features. - Bharath Bhushan Damodaran; Nicolas Courty; Philippe-Henri Gosselin (CoRR, 2017)

Optimal Transport for Domain Adaptation. - Nicolas Courty; Rémi Flamary; Devis Tuia; Alain Rakotomamonjy (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Sparse Hilbert Schmidt Independence Criterion and Surrogate-Kernel-Based Feature Selection for Hyperspectral Image Classification. - Bharath Bhushan Damodaran; Nicolas Courty; Sébastien Lefèvre (IEEE Trans. Geosci. Remote. Sens., 2017)

DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation. - Bharath Bhushan Damodaran; Benjamin Kellenberger; Rémi Flamary; Devis Tuia; Nicolas Courty (ECCV (4), 2018)

Learning Wasserstein Embeddings. - Nicolas Courty; Rémi Flamary; Mélanie Ducoffe (ICLR (Poster), 2018)

Large Scale Optimal Transport and Mapping Estimation. - Vivien Seguy; Bharath Bhushan Damodaran; Rémi Flamary; Nicolas Courty; Antoine Rolet; Mathieu Blondel (ICLR (Poster), 2018)

Detecting Animals in Repeated UAV Image Acquisitions by Matching CNN Activations with Optimal Transport. - Benjamin Kellenberger; Diego Marcos; Nicolas Courty; Devis Tuia (IGARSS, 2018)

Wasserstein Distance Measure Machines. - Alain Rakotomamonjy; Abraham Traoré; Maxime Berar; Rémi Flamary; Nicolas Courty (CoRR, 2018)

Optimal Transport for structured data. - Titouan Vayer; Laetitia Chapel; Rémi Flamary; Romain Tavenard; Nicolas Courty (CoRR, 2018)

Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties. - Titouan Vayer; Laetitia Chapel; Rémi Flamary; Romain Tavenard; Nicolas Courty (CoRR, 2018)

Wasserstein discriminant analysis. - Rémi Flamary; Marco Cuturi; Nicolas Courty; Alain Rakotomamonjy (Mach. Learn., 2018)

Optimal Transport for Multi-source Domain Adaptation under Target Shift. - Ievgen Redko; Nicolas Courty; Rémi Flamary; Devis Tuia (AISTATS, 2019)

Optimal Transport for structured data with application on graphs. - Titouan Vayer; Nicolas Courty; Romain Tavenard; Laetitia Chapel; Rémi Flamary (ICML, 2019)

Sliced Gromov-Wasserstein. - Titouan Vayer; Rémi Flamary; Nicolas Courty; Romain Tavenard; Laetitia Chapel (NeurIPS, 2019)

Kinematics in the metric space. - Thibaut Le Naour; Nicolas Courty; Sylvie Gibet (Comput. Graph., 2019)

End-to-end Learning for Early Classification of Time Series. - Marc Rußwurm; Sébastien Lefèvre; Nicolas Courty; Rémi Emonet; Marco Körner 001; Romain Tavenard (CoRR, 2019)

Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise. - Bharath Bhushan Damodaran; Kilian Fatras; Sylvain Lobry; Rémi Flamary; Devis Tuia; Nicolas Courty (CoRR, 2019)

Skeletal mesh animation driven by few positional constraints. - Thibaut Le Naour; Nicolas Courty; Sylvie Gibet (Comput. Animat. Virtual Worlds, 2019)

Contextual Semantic Interpretability. - Diego Marcos; Ruth Fong; Sylvain Lobry; Rémi Flamary; Nicolas Courty; Devis Tuia (ACCV (4), 2020)

Learning with minibatch Wasserstein : asymptotic and gradient properties. - Kilian Fatras; Younes Zine; Rémi Flamary; Rémi Gribonval; Nicolas Courty (AISTATS, 2020)

A Cycle Gan Approach for Heterogeneous Domain Adaptation in Land Use Classification. - Claire Voreiter; Jean-Christophe Burnel; Pierre Lassalle; Marc Spigai; Romain Hugues; Nicolas Courty (IGARSS, 2020)

CO-Optimal Transport. - Titouan Vayer; Ievgen Redko; Rémi Flamary; Nicolas Courty (NeurIPS, 2020)

Fused Gromov-Wasserstein Distance for Structured Objects. - Titouan Vayer; Laetitia Chapel; Rémi Flamary; Romain Tavenard; Nicolas Courty (Algorithms, 2020)

Generating Natural Adversarial Hyperspectral examples with a modified Wasserstein GAN. - Jean-Christophe Burnel; Kilian Fatras; Nicolas Courty (CoRR, 2020)

Match and Reweight Strategy for Generalized Target Shift. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso; Mokhtar Z. Alaya; Maxime Berar; Nicolas Courty (CoRR, 2020)

Representation Transfer by Optimal Transport. - Xuhong Li 002; Yves Grandvalet; Rémi Flamary; Nicolas Courty; Dejing Dou (CoRR, 2020)

An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images. - Bharath Bhushan Damodaran; Rémi Flamary; Vivien Seguy; Nicolas Courty (Comput. Vis. Image Underst., 2020)

Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data. - Antoine Ackaouy; Nicolas Courty; Emmanuel Vallée; Olivier Commowick; Christian Barillot; Francesca Galassi (Frontiers Comput. Neurosci., 2020)

Unbalanced minibatch Optimal Transport; applications to Domain Adaptation. - Kilian Fatras; Thibault Séjourné; Rémi Flamary; Nicolas Courty (ICML, 2021)

Online Graph Dictionary Learning. - Cédric Vincent-Cuaz; Titouan Vayer; Rémi Flamary; Marco Corneli; Nicolas Courty (ICML, 2021)

Subspace Detours Meet Gromov-Wasserstein. - Clément Bonet; Titouan Vayer; Nicolas Courty; François Septier; Lucas Drumetz (Algorithms, 2021)

Minibatch optimal transport distances; analysis and applications. - Kilian Fatras; Younes Zine; Szymon Majewski; Rémi Flamary; Rémi Gribonval; Nicolas Courty (CoRR, 2021)

Factored couplings in multi-marginal optimal transport via difference of convex programming. - Quang Huy Tran; Hicham Janati; Ievgen Redko; Rémi Flamary; Nicolas Courty (CoRR, 2021)

Semi-relaxed Gromov Wasserstein divergence with applications on graphs. - Cédric Vincent-Cuaz; Rémi Flamary; Marco Corneli; Titouan Vayer; Nicolas Courty (CoRR, 2021)

Subspace Detours Meet Gromov-Wasserstein. - Clément Bonet; Nicolas Courty; François Septier; Lucas Drumetz (CoRR, 2021)

Sliced-Wasserstein Gradient Flows. - Clément Bonet; Nicolas Courty; François Septier; Lucas Drumetz (CoRR, 2021)

POT: Python Optimal Transport. - 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; et al. (J. Mach. Learn. Res., 2021)

Semi-relaxed Gromov-Wasserstein divergence and applications on graphs. - Cédric Vincent-Cuaz; Rémi Flamary; Marco Corneli; Titouan Vayer; Nicolas Courty (ICLR, 2022)

Aligning individual brains with fused unbalanced Gromov Wasserstein. - Alexis Thual; Quang Huy Tran; Tatiana Zemskova; Nicolas Courty; Rémi Flamary; Stanislas Dehaene; Bertrand Thirion (NeurIPS, 2022)

Template based Graph Neural Network with Optimal Transport Distances. - Cédric Vincent-Cuaz; Rémi Flamary; Marco Corneli; Titouan Vayer; Nicolas Courty (NeurIPS, 2022)

Metric Learning-enhanced Optimal Transport for Biochemical Regression Domain Adaptation. - Fang Wu 002; Nicolas Courty; Zhang Qiang; Jiyu Cui; Ziqing Li (CoRR, 2022)

Optimal transport for conditional domain matching and label shift. - Alain Rakotomamonjy; Rémi Flamary; Gilles Gasso; M. El Alaya; Maxime Berar; Nicolas Courty (Mach. Learn., 2022)

Wasserstein Adversarial Regularization for Learning With Label Noise. - Kilian Fatras; Bharath Bhushan Damodaran; Sylvain Lobry; Rémi Flamary; Devis Tuia; Nicolas Courty (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Self-Supervised Learning for Scene Classification in Remote Sensing: Current State of the Art and Perspectives. - Paul Berg; Minh-Tan Pham; Nicolas Courty (Remote. Sens., 2022)

Generating Natural Adversarial Remote Sensing Images. - Jean-Christophe Burnel; Kilian Fatras; Rémi Flamary; Nicolas Courty (IEEE Trans. Geosci. Remote. Sens., 2022)

Efficient Gradient Flows in Sliced-Wasserstein Space. - Clément Bonet; Nicolas Courty; François Septier; Lucas Drumetz (Trans. Mach. Learn. Res., 2022)

Time Series Alignment with Global Invariances. - Titouan Vayer; Romain Tavenard; Laetitia Chapel; Rémi Flamary; Nicolas Courty; Yann Soullard (Trans. Mach. Learn. Res., 2022)

Unbalanced CO-optimal Transport. - Quang Huy Tran; Hicham Janati; Nicolas Courty; Rémi Flamary; Ievgen Redko; Pinar Demetci; Ritambhara Singh (AAAI, 2023)

Spherical Sliced-Wasserstein. - Clément Bonet; Paul Berg; Nicolas Courty; François Septier; Lucas Drumetz; Minh-Tan Pham (ICLR, 2023)

Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. - Clément Bonet; Benoît Malézieux; Alain Rakotomamonjy; Lucas Drumetz; Thomas Moreau 001; Matthieu Kowalski; Nicolas Courty (ICML, 2023)

Joint Multi-Modal Self-Supervised Pre-Training in Remote Sensing: Application to Methane Source Classification. - Paul Berg; Minh-Tan Pham; Nicolas Courty (IGARSS, 2023)

SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities. - Hugues Van Assel; Titouan Vayer; Rémi Flamary; Nicolas Courty (NeurIPS, 2023)

Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics. - Guillaume Mahey; Laetitia Chapel; Gilles Gasso; Clément Bonet; Nicolas Courty (NeurIPS, 2023)

Match-And-Deform: Time Series Domain Adaptation Through Optimal Transport and Temporal Alignment. - François Painblanc; Laetitia Chapel; Nicolas Courty; Chloé Friguet; Charlotte Pelletier; Romain Tavenard (ECML/PKDD (5), 2023)

Hyperbolic Sliced-Wasserstein via Geodesic and Horospherical Projections. - Clément Bonet; Laetitia Chapel; Lucas Drumetz; Nicolas Courty (TAG-ML, 2023)

Unbalanced Optimal Transport meets Sliced-Wasserstein. - Thibault Séjourné; Clément Bonet; Kilian Fatras; Kimia Nadjahi; Nicolas Courty (CoRR, 2023)

Fast Optimal Transport through Sliced Wasserstein Generalized Geodesics. - Guillaume Mahey; Laetitia Chapel; Gilles Gasso; Clément Bonet; Nicolas Courty (CoRR, 2023)

Optimal Transport with Adaptive Regularisation. - Hugues Van Assel; Titouan Vayer; Rémi Flamary; Nicolas Courty (CoRR, 2023)

Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein. - Hugues Van Assel; Cédric Vincent-Cuaz; Titouan Vayer; Rémi Flamary; Nicolas Courty (CoRR, 2023)

Turning Normalizing Flows into Monge Maps with Geodesic Gaussian Preserving Flows. - Guillaume Morel; Lucas Drumetz; Simon Benaïchouche; Nicolas Courty; François Rousseau 002 (Trans. Mach. Learn. Res., 2023)

Learning to Generate Wasserstein Barycenters. - Julien Lacombe; Julie Digne; Nicolas Courty; Nicolas Bonneel (J. Math. Imaging Vis., 2023)

Improving molecular representation learning with metric learning-enhanced optimal transport. - Fang Wu 002; Nicolas Courty; Shuting Jin; Stan Z. Li (Patterns, 2023)

SALUDA: Surface-based Automotive Lidar Unsupervised Domain Adaptation. - Björn Michele; Alexandre Boulch; Gilles Puy; Tuan-Hung Vu; Renaud Marlet; Nicolas Courty (3DV, 2024)

Horospherical Learning with Smart Prototypes. - Paul Berg; Björn Michele; Minh-Tan Pham; Laetitia Chapel; Nicolas Courty (BMVC, 2024)

Train Till You Drop: Towards Stable and Robust Source-Free Unsupervised 3D Domain Adaptation. - Björn Michele; Alexandre Boulch; Tuan-Hung Vu; Gilles Puy; Renaud Marlet; Nicolas Courty (ECCV (20), 2024)

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection. - Hugues Van Assel; Cédric Vincent-Cuaz; Nicolas Courty; Rémi Flamary; Pascal Frossard; Titouan Vayer (CoRR, 2024)

Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds. - Clément Bonet; Lucas Drumetz; Nicolas Courty (CoRR, 2024)

Multimodal Supervised Contrastive Learning in Remote Sensing Downstream Tasks. - Paul Berg; Baki Uzun; Minh-Tan Pham; Nicolas Courty (IEEE Geosci. Remote. Sens. Lett., 2024)

Non-Euclidean Sliced Optimal Transport Sampling. - Baptiste Genest; Nicolas Courty; David Coeurjolly (Comput. Graph. Forum, 2024)

Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein. - Hugues Van Assel; Cédric Vincent-Cuaz; Nicolas Courty; Rémi Flamary; Pascal Frossard; Titouan Vayer (Trans. Mach. Learn. Res., 2025)

Slicing Unbalanced Optimal Transport. - Clément Bonet; Kimia Nadjahi; Thibault Séjourné; Kilian Fatras; Nicolas Courty (Trans. Mach. Learn. Res., 2025)

Bridging Arbitrary and Tree Metrics via Differentiable Gromov Hyperbolicity. - Pierre Houedry; Nicolas Courty; Florestan Martin-Baillon; Laetitia Chapel; Titouan Vayer (CoRR, 2025)