I am interested in using kernel methods to solve machine learning problems in an efficient way, with a particular interest for geometrical and constrained data.
|Jul 17, 2022||Presenting our work at ICML2022 in Baltimore.|
|Oct 1, 2021||Started my PhD @ Inria between Paris and London!|
|Dec 7, 2020||New preprint with Benjamin Guedj, María Pérez-Ortiz, and John-Shawe Taylor is online.|
|Oct 25, 2020||IROS 2020 is open for free to everyone, come check out our work!|
- Measuring dissimilarity with diffeomorphism invarianceIn Proceedings of the 39th International Conference on Machine Learning 2022
- A PAC-Bayesian Perspective on Structured Prediction with Implicit Loss EmbeddingsarXiv 2012.03780, 2020
- A real-time unscented Kalman filter on manifolds for challenging AUV navigationIn 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2020