Alain Rakotomamonjy
27 papers · 2003–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+12 more ↓ Show less ↑
π§ Keyword Pioneer π Conference Polyglot (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (14) π Academic Marathon (22)
π
Academic Marathon
(22)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(7)
π±
Topic Pioneer
π₯
Mega-Team
(22)
π
Keyword Champion
π
Triple Crown
ποΈ
Keyword Collector
(110)
π
Century Club
(27)
β‘
Prolific Year
(6)
π₯
Unstoppable
(7)
π
Trend Setter
Conferences
NIPS (9)
ICML (8)
JMLR (5)
ICLR (3)
AISTATS (1)
UAI (1)
Top co-authors
Research topics
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