- Revisiting Dimensionality Reduction with Optimal Transport: Within and Across Spaces Slides.
- 10/2024: Memorial Sloan Kettering Cancer Center, New York.
- Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein. Slides.
- 06/2024: Cambridge University Machine Learning group seminar.
- 05/2024: talk at CANUM 2024, île de Ré.
- 04/2024: seminar LaMME - Univ. Paris-Saclay, Univ Evry.
- 04/2024: seminar Inria Mind team.
- Affinity matrices with Symmetric Optimal Transport. Slides. Poster.
- 12/2023: NeurIPS 2023 conference, Paris and New Orleans.
- 11/2023: RT MIA thematic day on Dimensionality reduction, Lyon.
- 11/2023: PariSanté campus, Paris.
- 06/2023: GeMSS 2023, Copenhagen.
- Graph Coupling for Dimensionality Reduction. Slides. Poster.
- 11/2022: NeurIPS 2022 conference, New Orleans.
- 10/2022: Workshop « Statistical challenges in scRNA-seq data analysis » in Toulouse.
- 05/2022: EPIT workshop in CIRM, Marseille.
- 04/2022: Statlearn workshop in Cargèse.
- 03/2022: MLSP seminar at ENS Lyon.
- Miscellaneous.
- 05/2021: SingleStatOmics meeting, online. High-dimensional Gaussian graphical models on network-linked data (Li et al.). Slides.
- Popularization talks.
- About the Kullback-Leibler divergence. Slides.
- About convexity. Slides.
- On the Curses and Blessings of Dimensionality. Slides.