Courty, Nicolas
- Optimal Transport for Domain Adaptation
2015/07/02 by Nicolas Courty, Courty, Nicolas, Rémi Flamary +5 · 38 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning in Healthcare #Machine Learning and ELM
- Optimal Transport for structured data with application on graphs
2018/05/23 by Titouan Vayer, Vayer, Titouan, Laëtitia Chapel +7 · 21 citations
Computer Science · #Complexity and Algorithms in Graphs #Optimization and Search Problems
- Large-Scale Optimal Transport and Mapping Estimation
2017/11/07 by Vivien Seguy, Bharath Bhushan Damodaran, Seguy, Vivien +9 · 21 citations
Engineering · Mathematics · #Traffic Prediction and Management Techniques #Sparse and Compressive Sensing Techniques #Markov Chains and Monte Carlo Methods
- Joint Distribution Optimal Transportation for Domain Adaptation
2017/05/24 by Courty, Nicolas, Rémi Flamary, Amaury Habrard +4 · 16 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Face recognition and analysis #Stochastic Gradient Optimization Techniques
- Fused Gromov-Wasserstein distance for structured objects: theoretical foundations and mathematical properties
2018/11/07 by Titouan Vayer, Vayer, Titouan, Rémi Flamary +6 · 14 citations
Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Medical Image Segmentation Techniques
- Sliced Gromov-Wasserstein
2019/05/24 by Titouan Vayer, Vayer, Titouan, Rémi Flamary +7 · 8 citations
Computer Science · #Adversarial Robustness in Machine Learning #Medical Image Segmentation Techniques #Advanced Neural Network Applications
- Unbalanced minibatch Optimal Transport; applications to Domain Adaptation
2021/03/05 by Kilian Fatras, Fatras, Kilian, Thibault Séjourné +5 · 8 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #FOS: Mathematics #Infrastructure Maintenance and Monitoring #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Statistics Theory (math.ST)
- Learning with minibatch Wasserstein : asymptotic and gradient properties
2019/10/09 by Kilian Fatras, Fatras, Kilian, Younes Zine +7 · 7 citations
Computer Science · Mathematics · Environmental Science · #Generative Adversarial Networks and Image Synthesis #Markov Chains and Monte Carlo Methods #Groundwater flow and contamination studies
- Minibatch optimal transport distances; analysis and applications
2021/01/05 by Kilian Fatras, Fatras, Kilian, Younes Zine +9 · 7 citations
Computer Science · Engineering · #Optimization and Search Problems #Optimization and Packing Problems #Complexity and Algorithms in Graphs
- CO-Optimal Transport
2020/02/10 by Ievgen Redko, Redko, Ievgen, Titouan Vayer +5 · 4 citations
Computer Science · #Advanced Graph Neural Networks #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies
- Template based Graph Neural Network with Optimal Transport Distances
2022/05/31 by Vincent-Cuaz, Cédric, Flamary, Rémi, Corneli, Marco +2 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Spherical Sliced-Wasserstein
2022/06/17 by Clément Bonet, Paul Berg, Bonet, Clément +9 · 4 citations
Computer Science · Engineering · Medicine · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Medical Imaging Techniques and Applications
- Sliced-Wasserstein Distances and Flows on Cartan-Hadamard Manifolds
2024/03/11 by Clément Bonet, Lucas Drumetz, Bonet, Clément +3 · 7 citations
Mathematics · Medicine · #Advanced Operator Algebra Research #FOS: Computer and information sciences #Facial Rejuvenation and Surgery Techniques #Homotopy and Cohomology in Algebraic Topology #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Semi-relaxed Gromov-Wasserstein divergence with applications on graphs
2021/10/06 by Vincent-Cuaz, Cédric, Flamary, Rémi, Corneli, Marco +2 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Optimal spectral transportation with application to music transcription
2016/09/30 by Rémi Flamary, Cédric Févotte, Flamary, Rémi +5 · 2 citations
Computer Science · #Blind Source Separation Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Sound (cs.SD) #Speech and Audio Processing
- Learning Wasserstein Embeddings
2017/10/20 by Courty, Nicolas, Flamary, Rémi, Ducoffe, Mélanie · 2 citations
#Computation (stat.CO) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimal Transport for Multi-source Domain Adaptation under Target Shift
2018/03/13 by Redko, Ievgen, Courty, Nicolas, Flamary, Rémi +1 · 2 citations
#FOS: Computer and information sciences #Machine Learning (stat.ML)
- Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals
2023/03/10 by Clément Bonet, Bonet, Clément, Benoît Malézieux +11 · 3 citations
Medicine · Neuroscience · #Advanced Neuroimaging Techniques and Applications #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
- 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)
- Slicing Unbalanced Optimal Transport
2023/06/12 by Bonet, Clément, Nadjahi, Kimia, Séjourné, Thibault +2 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
2024/02/03 by Hugues Van Assel, Van Assel, Hugues, Cédric Vincent-Cuaz +9 · 2 citations
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimal Transport for Conditional Domain Matching and Label Shift
2020/06/15 by Rakotomamonjy, Alain, Flamary, Rémi, Gasso, Gilles +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Factored couplings in multi-marginal optimal transport via difference of convex programming
2021/10/01 by Tran, Quang Huy, Janati, Hicham, Redko, Ievgen +2 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Efficient Gradient Flows in Sliced-Wasserstein Space
2021/10/21 by Clément Bonet, Nicolas Courty, Bonet, Clément +5 · 1 citation
Computer Science · Engineering · Medicine · #3D Shape Modeling and Analysis #Advanced Image Processing Techniques #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Improving Molecular Representation Learning with Metric Learning-enhanced Optimal Transport
2022/02/13 by Wu, Fang, Courty, Nicolas, Jin, Shuting +1 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- Unbalanced CO-Optimal Transport
2022/05/30 by Tran, Quang Huy, Janati, Hicham, Courty, Nicolas +4 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities
2023/05/23 by Hugues Van Assel, Van Assel, Hugues, Titouan Vayer +5 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- 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)
- 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)