Alain Rakotomamonjy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
11
Active years
2002–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICML | Improving Consistency Models with Generator-Augmented Flows. | Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos, Jean-Yves Franceschi, Chansoo Kim, Alain Rakotomamonjy |
| 2024 | ICLR | Federated Wasserstein Distance. | Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola |
| 2024 | WISE | Open Research Challenges for Private Advertising Systems Under Local Differential Privacy. | Matilde Tullii, Solenne Gaucher, Hugo Richard, Eustache Diemert, Vianney Perchet, Alain Rakotomamonjy, Clment Calauznes, Maxime Vono |
| 2023 | ICLR | Continuous PDE Dynamics Forecasting with Implicit Neural Representations. | Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi, Alain Rakotomamonjy, Patrick Gallinari |
| 2023 | ICML | Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. | Clment Bonet, Benot Malzieux, Alain Rakotomamonjy, Lucas Drumetz, Thomas Moreau, Matthieu Kowalski, Nicolas Courty |
| 2023 | ICML | Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. | Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy, Liva Ralaivola |
| 2022 | AISTATS | Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. | Alain Rakotomamonjy, Rmi Flamary, Joseph Salmon, Gilles Gasso |
| 2022 | ICLR | Mapping conditional distributions for domain adaptation under generalized target shift. | Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bzenac, Patrick Gallinari |
| 2022 | ICML | Generalizing to New Physical Systems via Context-Informed Dynamics Model. | Matthieu Kirchmeyer, Yuan Yin, Jrmie Don, Nicolas Baskiotis, Alain Rakotomamonjy, Patrick Gallinari |
| 2022 | UAI | Multi-source domain adaptation via weighted joint distributions optimal transport. | Rosanna Turrisi, Rmi Flamary, Alain Rakotomamonjy, Massimiliano Pontil |
| 2021 | ICML | Differentially Private Sliced Wasserstein Distance. | Alain Rakotomamonjy, Liva Ralaivola |
| 2020 | ICML | Partial Trace Regression and Low-Rank Kraus Decomposition. | Hachem Kadri, Stphane Ayache, Riikka Huusari, Alain Rakotomamonjy, Liva Ralaivola |
| 2019 | ICML | Screening rules for Lasso with non-convex Sparse Regularizers. | Alain Rakotomamonjy, Gilles Gasso, Joseph Salmon |
| 2018 | ESANN | Non-Negative Tensor Dictionary Learning. | Abraham Traor, Maxime Berar, Alain Rakotomamonjy |
| 2018 | ICASSP | Concave Losses for Robust Dictionary Learning. | Rafael Will M. de Araujo, Roberto Hirata, Alain Rakotomamonjy |
| 2016 | ICML | Early and Reliable Event Detection Using Proximity Space Representation. | Maxime Sangnier, Jrme Gauthier, Alain Rakotomamonjy |
| 2014 | ICASSP | Active set strategy for high-dimensional non-convex sparse optimization problems. | Aurelie Boisbunon, Rmi Flamary, Alain Rakotomamonjy |
| 2014 | ICIP | SVM with feature selection and smooth prediction in images: Application to CAD of prostate cancer. | Emilie Niaf, Rmi Flamary, Alain Rakotomamonjy, Olivier Rouvire, Carole Lartizien |
| 2013 | ICASSP | Filter bank Kernel Learning for nonstationary signal classification. | Maxime Sangnier, Jrme Gauthier, Alain Rakotomamonjy |
| 2013 | IGARSS | Create the relevant spatial filterbank in the hyperspectral jungle. | Devis Tuia, Michele Volpi, Mauro Dalla Mura, Alain Rakotomamonjy, Rmi Flamary |
| 2012 | ESANN | Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm. | David Picard, Nicolas Thome, Matthieu Cord, Alain Rakotomamonjy |
| 2012 | ICASSP | Oblique principal subspace tracking on manifold. | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy |
| 2012 | ICML | Sparse Support Vector Infinite Push. | Alain Rakotomamonjy |
| 2012 | ICML | Adaptive Canonical Correlation Analysis Based On Matrix Manifolds. | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy |
| 2012 | ICPR | Discovering relevant spatial filterbanks for VHR image classification. | Devis Tuia, Mauro Dalla Mura, Michele Volpi, Rmi Flamary, Alain Rakotomamonjy |
| 2011 | ESANN | Selecting from an infinite set of features in SVM. | Rmi Flamary, Florian Yger, Alain Rakotomamonjy |
| 2011 | ESANN | A supervised strategy for deep kernel machine. | Florian Yger, Maxime Berar, Gilles Gasso, Alain Rakotomamonjy |
| 2011 | ICML | Functional Regularized Least Squares Classication with Operator-valued Kernels. | Hachem Kadri, Asma Rabaoui, Philippe Preux, Emmanuel Duflos, Alain Rakotomamonjy |
| 2010 | ICASSP | Large margin filtering for Signal Sequence Labeling. | Rmi Flamary, Benjamin Labb, Alain Rakotomamonjy |
| 2010 | ICASSP | Large marginwavelet-based dictionary for signal classification. | Florian Yger, Alain Rakotomamonjy |
| 2008 | ICML | Composite kernel learning. | Marie Szafranski, Yves Grandvalet, Alain Rakotomamonjy |
| 2007 | ESANN | One-class SVM regularization path and comparison with alpha seeding. | Alain Rakotomamonjy, Manuel Davy |
| 2007 | ESANN | Kernel on Bag of Paths For Measuring Similarity of Shapes. | Frdric Suard, Alain Rakotomamonjy, Abdelaziz Bensrhair |
| 2007 | ICML | More efficiency in multiple kernel learning. | Alain Rakotomamonjy, Francis R. Bach, Stphane Canu, Yves Grandvalet |
| 2005 | ESANN | Translation invariant classification of non-stationary signals. | Vincent Guigue, Alain Rakotomamonjy, Stphane Canu |
| 2005 | ICANN | Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances. | Alain Rakotomamonjy, Vincent Guigue, Grgory Mallet, Victor Alvarado |
| 2002 | ICANN | Frame Kernels for Learning. | Alain Rakotomamonjy, Stphane Canu |