222 results on '"Alain Rakotomamonjy"'
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2. Personalised Federated Learning On Heterogeneous Feature Spaces.
3. Improving Consistency Models with Generator-Induced Coupling.
4. Gaussian-Smoothed Sliced Probability Divergences.
5. Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW.
6. Adversarial Sample Detection Through Neural Network Transport Dynamics.
7. Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals.
8. Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances.
9. Approximating dynamic time warping with a convolutional neural network on EEG data.
10. Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers.
11. Multi-source domain adaptation via weighted joint distributions optimal transport.
12. Generalizing to New Physical Systems via Context-Informed Dynamics Model.
13. Continuous PDE Dynamics Forecasting with Implicit Neural Representations.
14. Unifying GANs and Score-Based Diffusion as Generative Particle Models.
15. Theoretical guarantees for bridging metric measure embedding and optimal transport.
16. Optimal transport for conditional domain matching and label shift.
17. Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling.
18. Approximating DTW with a convolutional neural network on EEG data.
19. Personalised Federated Learning On Heterogeneous Feature Spaces.
20. Federated Wasserstein Distance.
21. Photonic Differential Privacy with Direct Feedback Alignment.
22. Differentially Private Sliced Wasserstein Distance.
23. Partial Trace Regression and Low-Rank Kraus Decomposition.
24. Mapping conditional distributions for domain adaptation under generalized target shift.
25. Diverse Weight Averaging for Out-of-Distribution Generalization.
26. Benchopt: Reproducible, efficient and collaborative optimization benchmarks.
27. Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach.
28. POT: Python Optimal Transport.
29. Unsupervised domain adaptation with non-stochastic missing data.
30. Screening Sinkhorn Algorithm for Regularized Optimal Transport.
31. Singleshot : a scalable Tucker tensor decomposition.
32. Screening rules for Lasso with non-convex Sparse Regularizers.
33. Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances.
34. Continuous PDE Dynamics Forecasting with Implicit Neural Representations.
35. Concave Losses for Robust Dictionary Learning.
36. Online multimodal dictionary learning.
37. Mapping conditional distributions for domain adaptation under generalized target shift.
38. Distributional Sliced Embedding Discrepancy for Incomparable Distributions.
39. Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences.
40. Joint distribution optimal transportation for domain adaptation.
41. Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport.
42. Match and Reweight Strategy for Generalized Target Shift.
43. Wasserstein Learning of Determinantal Point Processes.
44. Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport.
45. Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression.
46. Wasserstein discriminant analysis.
47. Early and Reliable Event Detection Using Proximity Space Representation.
48. Non-Negative Tensor Dictionary Learning.
49. Optimal Transport for Domain Adaptation.
50. Supervised Representation Learning for Audio Scene Classification.
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