Scholar
Luca Ganassali
Google Scholar ID: afDIpsYAAAAJ
Université Paris-Saclay, Laboratoire de Mathématiques d'Orsay
Citations & Impact
Citations
246
H-index
8
i10-index
7
Publications
12
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- - Publication: 'Statistical-computational gap in multiple Gaussian graph alignment' (2025)
- - Preprint: 'What is a good matching of probability measures? A counterfactual lens on transport maps' (2025)
- - Publication: 'Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem' (NeurIPS 2024)
- - Publication: 'On sample complexity of conditional independence testing with Von Mises estimator with application to causal discovery' (ICML 2024)
- - Publication: 'Learning causal graphs via monotone triangular transport maps' (NeurIPS 2023 Workshop)
- - Publication: 'Statistical limits of correlation detection in trees' (Annals of Applied Probability, 2022)
- - PhD Thesis: 'The graph alignment problem: fundamental limits and efficient algorithms' (2022)
- - Publication: 'Correlation detection in trees for partial graph alignment' (Annals of Applied Probability, 2021)
- - Publication: 'Impossibility of Partial Recovery in the Graph Alignment Problem' (COLT 2021)
- - Publication: 'Sharp threshold for alignment of graph databases with Gaussian weights' (MSML21, 2020)
- - Preprint: 'Probabilistic and mean-field model of COVID-19 epidemics with user mobility and contact tracing' (2020)
- - Publication: 'From tree matching to sparse graph alignment' (COLT 2020)
Research Experience
- - Assistant Professor at the Department of Mathematics, Université Paris-Saclay
- - Member of the Inria Celeste team
- - Former Postdoctoral Researcher at EPFL, BAN chair
Education
- - PhD: Inria Paris, supervised by Laurent Massoulié and Marc Lelarge
- - Postdoctoral Researcher: EPFL, BAN chair
Background
- - Research Interests: Algorithmic fairness and causality, Optimal transport for statistical learning, Statistical inference in graphs and matrices, Informational and computational thresholds for algorithms on random instances
- - Position: Assistant Professor at the Department of Mathematics, Université Paris-Saclay, and member of the Inria Celeste team
Miscellany
- - Looking for a PhD student, research topic: Handling unfairness in data: modelling, detecting, and debiasing
- - Recently gave an introductory talk at IHES about Unsupervised Alignment of Graphs and Embeddings: Fundamental Limits and Computational Methods
Co-authors