188 results on '"Rémi Flamary"'
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2. Multi-Source and Test-Time Domain Adaptation on Multivariate Signals using Spatio-Temporal Monge Alignment.
3. Weakly supervised covariance matrices alignment through Stiefel matrices estimation for MEG applications.
4. Distributional Reduction: Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein Projection.
5. End-to-end Supervised Prediction of Arbitrary-size Graphs with Partially-Masked Fused Gromov-Wasserstein Matching.
6. Entropic Wasserstein Component Analysis.
7. Unbalanced CO-optimal Transport.
8. Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers.
9. Multi-source domain adaptation via weighted joint distributions optimal transport.
10. Learning to Predict Graphs with Fused Gromov-Wasserstein Barycenters.
11. Convolution Monge Mapping Normalization for learning on sleep data.
12. SNEkhorn: Dimension Reduction with Symmetric Entropic Affinities.
13. Generating Natural Adversarial Remote Sensing Images.
14. Wasserstein Adversarial Regularization for Learning With Label Noise.
15. Optimal transport for conditional domain matching and label shift.
16. Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein.
17. Optimal Transport with Adaptive Regularisation.
18. Properties of Discrete Sliced Wasserstein Losses.
19. Convolutional Monge Mapping Normalization for learning on biosignals.
20. Unbalanced Optimal Transport through Non-negative Penalized Linear Regression.
21. Online Graph Dictionary Learning.
22. Unbalanced minibatch Optimal Transport; applications to Domain Adaptation.
23. Learning with minibatch Wasserstein : asymptotic and gradient properties.
24. Contextual Semantic Interpretability.
25. Semi-relaxed Gromov-Wasserstein divergence and applications on graphs.
26. Template based Graph Neural Network with Optimal Transport Distances.
27. Aligning individual brains with fused unbalanced Gromov Wasserstein.
28. POT: Python Optimal Transport.
29. Sliced Gromov-Wasserstein.
30. Optimal Transport for Multi-source Domain Adaptation under Target Shift.
31. Optimal Transport for structured data with application on graphs.
32. Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection.
33. Unbalanced CO-Optimal Transport.
34. Time Series Alignment with Global Invariances.
35. CO-Optimal Transport.
36. DeepJDOT: Deep Joint Distribution Optimal Transport for Unsupervised Domain Adaptation.
37. On Reducing the Communication Cost of the Diffusion LMS Algorithm.
38. Factored couplings in multi-marginal optimal transport via difference of convex programming.
39. Minibatch optimal transport distances; analysis and applications.
40. Semi-relaxed Gromov Wasserstein divergence with applications on graphs.
41. Joint distribution optimal transportation for domain adaptation.
42. Multi-frequency image reconstruction for radio-interferometry with self-tuned regularization parameters.
43. Astronomical image reconstruction with convolutional neural networks.
44. Distributed approach for deblurring large images with shift-variant blur.
45. Representation Transfer by Optimal Transport.
46. Time Series Alignment with Global Invariances.
47. CO-Optimal Transport.
48. Match and Reweight Strategy for Generalized Target Shift.
49. Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport.
50. Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression.
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