← Authors

Alain Rakotomamonjy

27 papers · 2003–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (22) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) 🌱 Topic Pioneer πŸ‘₯ Mega-Team (22) πŸ† Keyword Champion πŸ‘‘ Triple Crown πŸ—ƒοΈ Keyword Collector (110) πŸ’Ž Century Club (27) ⚑ Prolific Year (6) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter

Conferences

NIPS (9) ICML (8) JMLR (5) ICLR (3) AISTATS (1) UAI (1)

Top co-authors

RΓ©mi Flamary (4) Matthieu Kirchmeyer (4) Patrick Gallinari (4) StΓ©phane Canu (4) Jean-Yves Franceschi (3) Nicolas Courty (3) Gilles Gasso (3) Joseph Salmon (3) Liva Ralaivola (3) Hachem Kadri (3)

Research topics

Applications (1) Differential Privacy (1)

Keywords

optimal transport (6) domain adaptation (5) support vector machine (3) kernel methods (3) differential privacy (2) non-convex optimization (2) reproducing kernel hilbert space (2) generative model (2) joint distribution (2) sliced-wasserstein distance (2) distribution shift (2) functional data analysis (2) sinkhorn algorithm (2) operator-valued kernel (2) brain-computer interface (2) logistic regression (1) ensemble learning (1) model selection (1) transfer learning (1) few-shot learning (1)

Papers

Improving Consistency Models with Generator-Augmented Flows ICML 2025
Federated Wasserstein Distance ICLR 2024
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances ICML 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models NIPS 2023
Continuous PDE Dynamics Forecasting with Implicit Neural Representations ICLR 2023
Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals ICML 2023
Diverse Weight Averaging for Out-of-Distribution Generalization NIPS 2022
Benchopt: Reproducible, efficient and collaborative optimization benchmarks NIPS 2022
Generalizing to New Physical Systems via Context-Informed Dynamics Model ICML 2022
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers AISTATS 2022
Mapping conditional distributions for domain adaptation under generalized target shift ICLR 2022
Multi-source domain adaptation via weighted joint distributions optimal transport UAI 2022
Photonic Differential Privacy with Direct Feedback Alignment NIPS 2021
POT: Python Optimal Transport JMLR 2021
Differentially Private Sliced Wasserstein Distance ICML 2021
Partial Trace Regression and Low-Rank Kraus Decomposition ICML 2020
Singleshot : a scalable Tucker tensor decomposition NIPS 2019
Screening Sinkhorn Algorithm for Regularized Optimal Transport NIPS 2019
Screening rules for Lasso with non-convex Sparse Regularizers ICML 2019
Joint distribution optimal transportation for domain adaptation NIPS 2017
Early and Reliable Event Detection Using Proximity Space Representation ICML 2016
Operator-valued Kernels for Learning from Functional Response Data JMLR 2016
Multiple Operator-valued Kernel Learning NIPS 2012
SimpleMKL JMLR 2008
Support Vector Machines with a Reject Option NIPS 2008
Frames, Reproducing Kernels, Regularization and Learning JMLR 2005
Variable Selection Using SVM-based Criteria JMLR 2003