Rémi Flamary

Latest

• Aligning individual brains with Fused Unbalanced Gromov-Wasserstein
• Template based Graph Neural Network with Optimal Transport Distances
• Semi-relaxed Gromov-Wasserstein divergence for graphs classification
• Factored couplings in multi-marginal optimal transport via difference of convex programming
• Wasserstein Adversarial Regularization for learning with label noise
• POT: Python Optimal Transport
• CO-Optimal Transport
• Contextual Semantic Interpretability
• Match and Reweight Strategy for Generalized Target Shift
• Fused Gromov-Wasserstein Distance for Structured Objects
• Learning with minibatch Wasserstein : asymptotic and gradient properties
• Generating natural adversarial Remote Sensing Images
• An Entropic Optimal Transport loss for learning deep neural networks under label noise in remote sensing images
• Time Series Alignment with Global Invariances
• Sliced Gromov-Wasserstein
• An Entropic Optimal Transport Loss for Learning Deep Neural Networks under Label Noise in Remote Sensing Images
• Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
• Pushing the right boundaries matters! Wasserstein Adversarial Training for Label Noise
• Optimal Transport for structured data with application on graphs
• Optimal Transport for Multi-source Domain Adaptation under Target Shift
• Wasserstein Discriminant Analysis
• Dissimilarity Measure Machines
• DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation
• Large-Scale Optimal Transport and Mapping Estimation
• Learning Wasserstein Embeddings
• Joint distribution optimal transportation for domain adaptation
• Optimal Transport for Domain Adaptation
• Optimal Transport for Domain Adaptation
• Optimal Transport for Domain Adaptation
• Mapping Estimation for Discrete Optimal Transport
• Optimal spectral transportation with application to music transcription
• Supervised Planetary Unmixing with Optimal Transport
• Optimal Transport for Data Fusion in Remote Sensing
• Optimal Transport for Domain Adaptation
• Optimal Transport for Domain Adaptation
• Generalized conditional gradient: analysis of convergence and applications
• Multiclass feature learning for hyperspectral image classification: sparse and hierarchical solutions
• Optimal transport for Domain adaptation
• Optimal transport with Laplacian regularization
• A group-lasso active set strategy for multiclass hyperspectral image classification
• Domain adaptation with regularized optimal transport