talks
Invited talks, conference presentations, and seminars on representation learning, optimal transport, and dimensionality reduction.
2025
Joint Embedding vs Reconstruction: Which Paradigm to Choose for Pretraining?
- 12/2025: NeurIPS 2025, San Diego
- 11/2025: Prescient Design Machine Learning seminar, South San Francisco
2024
Revisiting Dimensionality Reduction with Optimal Transport: Within and Across Spaces
- 11/2024: Genentech, South San Francisco
- 10/2024: Memorial Sloan Kettering Cancer Center, New York
Unifying Dimensionality Reduction and Clustering with Gromov-Wasserstein
- 06/2024: Cambridge University Machine Learning group seminar
- 05/2024: CANUM 2024, Île de Ré
- 04/2024: LaMME seminar, Univ. Paris-Saclay
- 04/2024: Inria Mind team seminar
2023
Affinity Matrices with Symmetric Optimal Transport
- 12/2023: NeurIPS 2023, New Orleans
- 11/2023: RT MIA thematic day on Dimensionality Reduction, Lyon
- 11/2023: PariSanté campus, Paris
- 06/2023: GeMSS 2023, Copenhagen
2022
Graph Coupling for Dimensionality Reduction
- 11/2022: NeurIPS 2022, New Orleans
- 10/2022: Workshop "Statistical challenges in scRNA-seq data analysis", Toulouse
- 05/2022: EPIT workshop, CIRM, Marseille
- 04/2022: Statlearn workshop, Cargèse
- 03/2022: MLSP seminar, ENS Lyon
Other Talks
Miscellaneous & Popularization Talks
- 05/2021: SingleStatOmics meeting - HD Gaussian graphical models (Li et al.)
- Popularization: Kullback-Leibler divergence, Convexity, Curses of Dimensionality