Alain Rakotomamonjy

ORCID

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 72

Top Venues

CoRR

ICML

NeurIPS

IEEE Trans. Neural Networks Learn. Syst.

Publications

Thibaut Issenhuth, Ludovic Dos Santos, Jean-Yves Franceschi, Alain Rakotomamonjy
Improving Consistency Models with Generator-Induced Coupling. CoRR (2024)
Mokhtar Z. Alaya, Alain Rakotomamonjy, Maxime Berar, Gilles Gasso
Gaussian-Smoothed Sliced Probability Divergences. CoRR (2024)
Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz, Liva Ralaivola
Personalised Federated Learning On Heterogeneous Feature Spaces. Trans. Mach. Learn. Res. 2024 (2024)
Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola
Federated Wasserstein Distance. ICLR (2024)
Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola
Federated Wasserstein Distance. CoRR (2023)
Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy
Adversarial Sample Detection Through Neural Network Transport Dynamics. ECML/PKDD (1) (2023)
Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz, Liva Ralaivola
Personalised Federated Learning On Heterogeneous Feature Spaces. CoRR (2023)
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. CoRR (2023)
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. ICML (2023)
Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi, Alain Rakotomamonjy, Mike Gartrell, Jamal Atif, Alexandre Allauzen
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance for Non-Parametric Generative Modeling. CoRR (2023)
Clément Bonet, Benoît Malézieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. ICML (2023)
Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte
Approximating DTW with a convolutional neural network on EEG data. CoRR (2023)
Hugo Lerogeron, Romain Picot-Clémente, Alain Rakotomamonjy, Laurent Heutte
Approximating dynamic time warping with a convolutional neural network on EEG data. Pattern Recognit. Lett. 171 (2023)
Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy
Adversarial Sample Detection Through Neural Network Transport Dynamics. CoRR (2023)
Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos, Thibaut Issenhuth, Emmanuel de Bézenac, Mickaël Chen, Alain Rakotomamonjy
Unifying GANs and Score-Based Diffusion as Generative Particle Models. NeurIPS (2023)
Hugo Lerogeron, Romain Picot-Clémente, Laurent Heutte, Alain Rakotomamonjy
Learning an autoencoder to compress EEG signals via a neural network based approximation of DTW. INNS DLIA@IJCNN (2023)
Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. ICLR (2023)
Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari
Mapping conditional distributions for domain adaptation under generalized target shift. ICLR (2022)
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Diverse Weight Averaging for Out-of-Distribution Generalization. NeurIPS (2022)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. CoRR (2022)
Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
Generalizing to New Physical Systems via Context-Informed Dynamics Model. CoRR (2022)
Alexandre Ramé, Matthieu Kirchmeyer, Thibaud Rahier, Alain Rakotomamonjy, Patrick Gallinari, Matthieu Cord
Diverse Weight Averaging for Out-of-Distribution Generalization. CoRR (2022)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, M. El Alaya, Maxime Berar, Nicolas Courty
Optimal transport for conditional domain matching and label shift. Mach. Learn. 111 (5) (2022)
Rosanna Turrisi, Réemi Flamary, Alain Rakotomamonjy, Massimiliano Pontil
Multi-source domain adaptation via weighted joint distributions optimal transport. UAI (2022)
Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari
Continuous PDE Dynamics Forecasting with Implicit Neural Representations. CoRR (2022)
Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. CoRR (2022)
Mohammad Abdollahi, Romain Serizel, Alain Rakotomamonjy, Gilles Gasso
Integrating Isolated Examples with Weakly-Supervised Sound Event Detection: A Direct Approach. DCASE (2022)
Matthieu Kirchmeyer, Yuan Yin, Jérémie Donà, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari
Generalizing to New Physical Systems via Context-Informed Dynamics Model. ICML (2022)
Alain Rakotomamonjy, Rémi Flamary, Joseph Salmon, Gilles Gasso
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. AISTATS (2022)
Thomas Moreau, Mathurin Massias, Alexandre Gramfort, Pierre Ablin, Pierre-Antoine Bannier, Benjamin Charlier, Mathieu Dagréou, Tom Dupré la Tour, Ghislain Durif, Cássio F. Dantas, Quentin Klopfenstein, Johan Larsson, En Lai, Tanguy Lefort, Benoît Malézieux, Badr Moufad, Binh T. Nguyen, Alain Rakotomamonjy, Zaccharie Ramzi, Joseph Salmon, Samuel Vaiter
Benchopt: Reproducible, efficient and collaborative optimization benchmarks. NeurIPS (2022)
Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
Theoretical guarantees for bridging metric measure embedding and optimal transport. Neurocomputing 468 (2022)
Alain Rakotomamonjy, Liva Ralaivola
Differentially Private Sliced Wasserstein Distance. ICML (2021)
Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach
Unsupervised domain adaptation with non-stochastic missing data. CoRR (2021)
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, Hicham Janati, Alain Rakotomamonjy, Ievgen Redko, Antoine Rolet, Antony Schutz, Vivien Seguy, Danica J. Sutherland, Romain Tavenard, Alexander Tong, Titouan Vayer
POT: Python Optimal Transport. J. Mach. Learn. Res. 22 (2021)
Matthieu Kirchmeyer, Patrick Gallinari, Alain Rakotomamonjy, Amin Mantrach
Unsupervised domain adaptation with non-stochastic missing data. Data Min. Knowl. Discov. 35 (6) (2021)
Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bézenac, Patrick Gallinari
Mapping conditional distributions for domain adaptation under generalized target shift. CoRR (2021)
Ruben Ohana, Hamlet Jesse Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy
Photonic Differential Privacy with Direct Feedback Alignment. NeurIPS (2021)
Alain Rakotomamonjy, Liva Ralaivola
Differentially Private Sliced Wasserstein Distance. CoRR (2021)
Alain Rakotomamonjy, Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences. CoRR (2021)
Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar, Alain Rakotomamonjy
Distributional Sliced Embedding Discrepancy for Incomparable Distributions. CoRR (2021)
Ruben Ohana, Hamlet J. Medina Ruiz, Julien Launay, Alessandro Cappelli, Iacopo Poli, Liva Ralaivola, Alain Rakotomamonjy
Photonic Differential Privacy with Direct Feedback Alignment. CoRR (2021)
Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
Partial Trace Regression and Low-Rank Kraus Decomposition. ICML (2020)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Joseph Salmon
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression. CoRR (2020)
Hachem Kadri, Stéphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola
Partial Trace Regression and Low-Rank Kraus Decomposition. CoRR (2020)
Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy, Ugo Tanielian, Clément Calauzènes
Wasserstein Learning of Determinantal Point Processes. CoRR (2020)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso, Mokhtar Z. Alaya, Maxime Berar, Nicolas Courty
Match and Reweight Strategy for Generalized Target Shift. CoRR (2020)
Rosanna Turrisi, Rémi Flamary, Alain Rakotomamonjy, Massimiliano Pontil
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport. CoRR (2020)
Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
Non-Aligned Distribution Distance using Metric Measure Embedding and Optimal Transport. CoRR (2020)
Abraham Traoré, Maxime Berar, Alain Rakotomamonjy
Online multimodal dictionary learning. Neurocomputing 368 (2019)
Mokhtar Z. Alaya, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
Screening Sinkhorn Algorithm for Regularized Optimal Transport. NeurIPS (2019)
Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
Screening Rules for Lasso with Non-Convex Sparse Regularizers. CoRR (2019)
Mokhtar Z. Alaya, Maxime Bérar, Gilles Gasso, Alain Rakotomamonjy
Screening Sinkhorn Algorithm for Regularized Optimal Transport. CoRR (2019)
Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon
Screening rules for Lasso with non-convex Sparse Regularizers. ICML (2019)
Abraham Traoré, Maxime Berar, Alain Rakotomamonjy
Singleshot : a scalable Tucker tensor decomposition. NeurIPS (2019)
Abraham Traoré, Maxime Berar, Alain Rakotomamonjy
Non-Negative Tensor Dictionary Learning. ESANN (2018)
Alain Rakotomamonjy, Abraham Traoré, Maxime Berar, Rémi Flamary, Nicolas Courty
Wasserstein Distance Measure Machines. CoRR (2018)
Rafael Will M. de Araujo, Roberto Hirata, Alain Rakotomamonjy
Concave Losses for Robust Dictionary Learning. ICASSP (2018)
Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
Wasserstein discriminant analysis. Mach. Learn. 107 (12) (2018)
Alain Rakotomamonjy
Supervised Representation Learning for Audio Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 25 (6) (2017)
Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang
Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 28 (1) (2017)
Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
Optimal Transport for Domain Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 39 (9) (2017)
Rafael Will M. de Araujo, Roberto Hirata, Alain Rakotomamonjy
Concave losses for robust dictionary learning. CoRR (2017)
Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
Joint Distribution Optimal Transportation for Domain Adaptation. CoRR (2017)
Nathalie T. H. Gayraud, Alain Rakotomamonjy, Maureen Clerc
Optimal transport Applied to Transfer Learning for P300 Detection. GBCIC (2017)
Nicolas Courty, Rémi Flamary, Amaury Habrard, Alain Rakotomamonjy
Joint distribution optimal transportation for domain adaptation. NIPS (2017)
Alain Rakotomamonjy, Sokol Koço, Liva Ralaivola
Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained Optimization. IEEE Trans. Neural Networks Learn. Syst. 28 (11) (2017)
Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
Importance sampling strategy for non-convex randomized block-coordinate descent. CoRR (2016)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
Operator-valued Kernels for Learning from Functional Response Data. J. Mach. Learn. Res. 17 (2016)
Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy
Early and Reliable Event Detection Using Proximity Space Representation. ICML (2016)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
DC Proximal Newton for Nonconvex Optimization Problems. IEEE Trans. Neural Networks Learn. Syst. 27 (3) (2016)
Rémi Flamary, Marco Cuturi, Nicolas Courty, Alain Rakotomamonjy
Wasserstein Discriminant Analysis. CoRR (2016)
Alain Rakotomamonjy, Sokol Koço, Liva Ralaivola
More efficient sparsity-inducing algorithms using inexact gradient. EUSIPCO (2015)
Alain Rakotomamonjy, Sokol Koço, Liva Ralaivola
Greedy methods, randomization approaches and multi-arm bandit algorithms for efficient sparsity-constrained optimization. CoRR (2015)
Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy
Early frame-based detection of acoustic scenes. WASPAA (2015)
Nicolas Courty, Rémi Flamary, Devis Tuia, Alain Rakotomamonjy
Optimal Transport for Domain Adaptation. CoRR (2015)
Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy
Filter bank learning for signal classification. Signal Process. 113 (2015)
Alain Rakotomamonjy, Rémi Flamary, Nicolas Courty
Generalized conditional gradient: analysis of convergence and applications. CoRR (2015)
Hachem Kadri, Emmanuel Duflos, Philippe Preux, Stéphane Canu, Alain Rakotomamonjy, Julien Audiffren
Operator-valued Kernels for Learning from Functional Response Data. CoRR (2015)
Rémi Flamary, Alain Rakotomamonjy, Gilles Gasso
Importance sampling strategy for non-convex randomized block-coordinate descent. CAMSAP (2015)
Alain Rakotomamonjy, Rémi Flamary, Gilles Gasso
DC Proximal Newton for Non-Convex Optimization Problems. CoRR (2015)
Devis Tuia, Rémi Flamary, Alain Rakotomamonjy, Nicolas Courty
Multitemporal classification without new labels: A solution with optimal transport. MultiTemp (2015)
Alain Rakotomamonjy, Gilles Gasso
Histogram of gradients of Time-Frequency Representations for Audio scene detection. CoRR (2015)
Alain Rakotomamonjy, Gilles Gasso
Histogram of Gradients of Time-Frequency Representations for Audio Scene Classification. IEEE ACM Trans. Audio Speech Lang. Process. 23 (1) (2015)
Alain Rakotomamonjy, Caroline Petitjean, Mathieu Salaün, Luc Thiberville
Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images. Artif. Intell. Medicine 61 (2) (2014)
Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy
Kernel learning as minimization of the single validation estimate. MLSP (2014)
Aurelie Boisbunon, Rémi Flamary, Alain Rakotomamonjy
Active set strategy for high-dimensional non-convex sparse optimization problems. ICASSP (2014)
Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy
Mixed-norm Regularization for Brain Decoding. CoRR (2014)
Alain Rakotomamonjy, Sukalpa Chanda
-norm multiple kernel learning with low-rank kernels. Neurocomputing 143 (2014)
Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary
Automatic Feature Learning for Spatio-Spectral Image Classification With Sparse SVM. IEEE Trans. Geosci. Remote. Sens. 52 (10) (2014)
Rémi Flamary, Nisrine Jrad, Ronald Phlypo, Marco Congedo, Alain Rakotomamonjy
Mixed-Norm Regularization for Brain Decoding. Comput. Math. Methods Medicine 2014 (2014)
Emilie Niaf, Rémi Flamary, Alain Rakotomamonjy, Olivier Rouvière, Carole Lartizien
SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer. ICIP (2014)
Alain Rakotomamonjy
Direct Optimization of the Dictionary Learning Problem. IEEE Trans. Signal Process. 61 (22) (2013)
Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy
Functional Regularized Least Squares Classi cation with Operator-valued Kernels CoRR (2013)
Alain Rakotomamonjy, Rémi Flamary, Florian Yger
Learning with infinitely many features. Mach. Learn. 91 (1) (2013)
Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rémi Flamary
Create the relevant spatial filterbank in the hyperspectral jungle. IGARSS (2013)
Alain Rakotomamonjy
Applying alternating direction method of multipliers for constrained dictionary learning. Neurocomputing 106 (2013)
Maxime Sangnier, Jérôme Gauthier, Alain Rakotomamonjy
Filter bank Kernel Learning for nonstationary signal classification. ICASSP (2013)
Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy
Oblique principal subspace tracking on manifold. ICASSP (2012)
David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy
Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm. ESANN (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Alain Rakotomamonjy