AR
Alain Rakotomamonjy
cs.LGstat.MLcs.AIcs.CRcs.CVmath.OCSignal Processing, Computer-AssistedAlgorithmsArtificial Intelligencecs.NE
On Valency
published · living versionsW_5h5jq28z·v1 · currentpublished
Compote: Collapse-Resistant Multiple Hypothesis Learning For Sequential Recommendation
with Louis Castres Saint Martin, Clement Calauzenes, Patrick Gallinari
1 version
W_yc3yx8eg·v1published
Preprints & journals
57 papers in the corpus · 1998–2025On the MIA Vulnerability Gap Between Private GANs and Diffusion Models2509.03341v1 · Ilana Sebag, Jean-Yves Franceschi, Alain Rakotomamonjy et al.2025 · 0 citationsarXiv
Improving Consistency Models with Generator-Augmented Flows2406.09570v4 · Thibaut Issenhuth, Sangchul Lee, Ludovic Dos Santos et al.2024 · 0 citationsarXiv
Gaussian-Smoothed Sliced Probability Divergences2404.03273v2 · Mokhtar Z. Alaya (LMAC), Alain Rakotomamonjy (LITIS), Maxime Berar (LITIS) et al.2024 · 0 citationsarXiv
Differentially Private Gradient Flow based on the Sliced Wasserstein Distance2312.08227v3 · Ilana Sebag, Muni Sreenivas Pydi, Jean-Yves Franceschi et al.2023 · 0 citationsarXiv
Federated Wasserstein Distance2310.01973v1 · Alain Rakotomamonjy, Kimia Nadjahi, Liva Ralaivola2023 · 3 citationsarXiv
Adversarial Sample Detection Through Neural Network Transport Dynamics2306.04252v2 · Skander Karkar, Patrick Gallinari, Alain Rakotomamonjy2023 · 1 citationarXiv
Unifying GANs and Score-Based Diffusion as Generative Particle Models2305.16150v3 · Jean-Yves Franceschi, Mike Gartrell, Ludovic Dos Santos et al.2023 · 6 citationsThirty-seventh Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Dec. 2023, New Orleans, LA, USA
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals2303.05798v2 · Cl'ement Bonet, Benoit Mal'ezieux, Alain Rakotomamonjy et al.2023 · 8 citationsarXiv
Approximating DTW with a convolutional neural network on EEG data2301.12873v1 · Hugo Lerogeron, Romain Picot-Clemente, Alain Rakotomamonjy et al.2023 · 0 citationsarXiv
Personalised Federated Learning On Heterogeneous Feature Spaces2301.11447v1 · Alain Rakotomamonjy, Maxime Vono, Hamlet Jesse Medina Ruiz et al.2023 · 6 citationsarXiv
Continuous PDE Dynamics Forecasting with Implicit Neural Representations2209.14855v2 · Yuan Yin, Matthieu Kirchmeyer, Jean-Yves Franceschi et al.2022 · 14 citationsThe Eleventh International Conference on Learning Representations, International Conference on Representation Learning, May 2023, Kigali, Rwanda
Benchopt: Reproducible, efficient and collaborative optimization benchmarks2206.13424v3 · Thomas Moreau, Mathurin Massias, Alexandre Gramfort et al.2022 · 20 citationsarXiv
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances2206.03230v3 · Ruben Ohana, Kimia Nadjahi, Alain Rakotomamonjy et al.2022 · 1 citationarXiv
Diverse Weight Averaging for Out-of-Distribution Generalization2205.09739v2 · Alexandre Ram'e, Matthieu Kirchmeyer, Thibaud Rahier et al.2022 · 36 citationsarXiv
Generalizing to New Physical Systems via Context-Informed Dynamics Model2202.01889v3 · Matthieu Kirchmeyer, Yuan Yin, J'er'emie Dona et al.2022 · 2 citationsarXiv
Mapping conditional distributions for domain adaptation under generalized target shift2110.15057v2 · Matthieu Kirchmeyer (MLIA), Alain Rakotomamonjy (LITIS), Emmanuel de Bezenac (MLIA) et al.2021 · 7 citationsarXiv
Statistical and Topological Properties of Gaussian Smoothed Sliced Probability Divergences2110.10524v1 · Alain Rakotomamonjy, Mokhtar Z. Alaya (LMAC), Maxime Berar (DocApp - LITIS) et al.2021 · 0 citationsarXiv
Unsupervised domain adaptation with non-stochastic missing data2109.09505v1 · Matthieu Kirchmeyer (MLIA), Patrick Gallinari (MLIA), Alain Rakotomamonjy (LITIS) et al.2021 · 2 citationsarXiv
Differentially Private Sliced Wasserstein Distance2107.01848v1 · Alain Rakotomamonjy (DocApp - LITIS), Liva Ralaivola2021 · 9 citationsInternational Conference of Machine Learning, Jul 2021, Virtual, France
Photonic Differential Privacy with Direct Feedback Alignment2106.03645v2 · Ruben Ohana, Hamlet J. Medina Ruiz, Julien Launay et al.2021 · 4 citationsNeurIPS 2021
Heterogeneous Wasserstein Discrepancy for Incomparable Distributions2106.02542v2 · Mokhtar Z. Alaya, Gilles Gasso, Maxime Berar et al.2021 · 0 citationsarXiv
Wasserstein Learning of Determinantal Point Processes2011.09712v1 · Lucas Anquetil, Mike Gartrell, Alain Rakotomamonjy et al.2020 · 1 citationarXiv
Partial Trace Regression and Low-Rank Kraus Decomposition2007.00935v2 · Hachem Kadri (QARMA), St'ephane Ayache (QARMA), Riikka Huusari et al.2020 · 1 citationInternational Conference on Machine Learning, Jul 2020, Vienne (Online), Austria
Provably Convergent Working Set Algorithm for Non-Convex Regularized Regression2006.13533v4 · Alain Rakotomamonjy (DocApp - LITIS), R'emi Flamary (CMAP), Gilles Gasso (LITIS) et al.2020 · 0 citationsarXiv
Multi-source Domain Adaptation via Weighted Joint Distributions Optimal Transport2006.12938v2 · Rosanna Turrisi, R'emi Flamary, Alain Rakotomamonjy et al.2020 · 10 citationsarXiv
Optimal Transport for Conditional Domain Matching and Label Shift2006.08161v4 · Alain Rakotomamonjy, R'emi Flamary (CMAP), Gilles Gasso (DocApp - LITIS) et al.2020 · 19 citationsarXiv
Theoretical Guarantees for Bridging Metric Measure Embedding and Optimal Transport2002.08314v5 · Mokhtar Z. Alaya, Maxime B'erar, Gilles Gasso et al.2020 · 6 citationsarXiv
Screening Sinkhorn Algorithm for Regularized Optimal Transport1906.08540v3 · Mokhtar Z. Alaya, Maxime B'erar, Gilles Gasso et al.2019 · 23 citationsarXiv
Screening Rules for Lasso with Non-Convex Sparse Regularizers1902.06125v2 · Alain Rakotomamonjy (LITIS), Gilles Gasso (LITIS), Joseph Salmon2019 · 11 citationsarXiv
Distance Measure Machines1803.00250v3 · Alain Rakotomamonjy (LITIS), Abraham Traor'e (LITIS), Maxime Berar (LITIS) et al.2018 · 5 citationsarXiv
A review of classification algorithms for EEG-based brain-computer interfaces: a 10 year update.29488902 · Lotte, F, Bougrain, L, Cichocki, A et al.2019 · 2,229 citationsJournal of neural engineering. 2018;15(3):031005
Concave losses for robust dictionary learning1711.00659v1 · Rafael Will M de Araujo (USP), Roberto Hirata (USP), Alain Rakotomamonjy (LITIS)2017 · 0 citationsarXiv
Joint Distribution Optimal Transportation for Domain Adaptation1705.08848v2 · Nicolas Courty, R'emi Flamary, Amaury Habrard et al.2017 · 340 citationsarXiv
Optimal Transport for Domain Adaptation.27723579 · Courty, Nicolas, Flamary, Remi, Tuia, Devis et al.2018 · 1,015 citationsIEEE transactions on pattern analysis and machine intelligence. 2017;39(9):1853-1865
Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained Optimization.28113680 · Rakotomamonjy, Alain, Koco, Sokol, Ralaivola, Liva2019 · 13 citationsIEEE transactions on neural networks and learning systems. 2017;28(11):2789-2802
Wasserstein Discriminant Analysis1608.08063v2 · R'emi Flamary, Marco Cuturi, Nicolas Courty et al.2016 · 90 citationsarXiv
Importance sampling strategy for non-convex randomized block-coordinate descent1606.07286v1 · R'emi Flamary (LAGRANGE, OCA), Alain Rakotomamonjy (LITIS) et al.2016 · 1 citationIEEE INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING, Dec 2015, Cancun, Mexico. 2015
Operator-valued Kernels for Learning from Functional Response Data1510.08231v3 · Hachem Kadri (LIF), Emmanuel Duflos (CRIStAL), Philippe Preux (CRIStAL et al.2015 · 62 citationsJournal of Machine Learning Research 17 (2016) 1-54
Generalized conditional gradient: analysis of convergence and applications1510.06567v1 · Alain Rakotomamonjy (LITIS), R'emi Flamary (LAGRANGE, OCA) et al.2015 · 9 citationsarXiv
Histogram of gradients of Time-Frequency Representations for Audio scene detection1508.04909v1 · Alain Rakotomamonjy (LITIS), Gilles Gasso (LITIS)2015 · 174 citationsarXiv
DC Proximal Newton for Nonconvex Optimization Problems.25910256 · Rakotomamonjy, Alain, Flamary, Rémi, Gasso, Gilles2016 · 38 citationsIEEE transactions on neural networks and learning systems. 2016;27(3):636-47
Scattering features for lung cancer detection in fibered confocal fluorescence microscopy images.24877616 · Rakotomamonjy, Alain, Petitjean, Caroline, Salaün, Mathieu et al.2015 · 26 citationsArtificial intelligence in medicine. 2014;61(2):105-18
Mixed-norm regularization for brain decoding.24860614 · Flamary, R, Jrad, N, Phlypo, R et al.2014 · 10 citationsComputational and mathematical methods in medicine. 2014;2014:317056
Functional Regularized Least Squares Classi cation with Operator-valued Kernels1301.2655v1 · Hachem Kadri, Asma Rabaoui (IMS), Philippe Preux et al.2013 · 5 citations28th International Conference on Machine Learning (ICML), Seattle : United States (2011)
Sparse Support Vector Infinite Push1206.6432v1 · Alain Rakotomamonjy2012 · 20 citationsarXiv
Adaptive Canonical Correlation Analysis Based On Matrix Manifolds1206.6453v1 · Florian Yger (LITIS), Maxime Berar (LITIS), Gilles Gasso (INSA de Rouen) et al.2012 · 33 citationsarXiv
Multiple Operator-valued Kernel Learning1203.1596v2 · Hachem Kadri, Alain Rakotomamonjy (LITIS), Francis Bach et al.2012 · 6 citationsarXiv
Decoding Finger Movements from ECoG Signals Using Switching Linear Models.22408601 · Flamary, Rémi, Rakotomamonjy, Alain2012 · 70 citationsFrontiers in neuroscience. 2012;6:29
sw-SVM: sensor weighting support vector machines for EEG-based brain-computer interfaces.21817778 · Jrad, N, Congedo, M, Phlypo, R et al.2012 · 40 citationsJournal of neural engineering. 2011;8(5):056004
lp-lq penalty for sparse linear and sparse multiple kernel multitask learning.21813358 · Rakotomamonjy, Alain, Flamary, Rémi, Gasso, Gilles et al.2012 · 90 citationsIEEE transactions on neural networks. 2011;22(8):1307-20
Career total: 229 works. 57 are in this corpus.Showing the 50 most recent.
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