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Researcher with public evidence across AI research.
Excited to announce that our workshop "Bridging Optimal Transport, Learning and Structured Data: Toward Geometric Distributional Learning" has been accepted at #NeurIPS2026 in Paris. ⏰Deadline: Aug 29, AoE 🔗Website with more informations: gddl-neurips-2026.github.io
As scientists we should remember that when we talk science with an AI model we teach private companies how to do science and not a new generation of scientists that will contribute to society. Time spent doing faster research with AI agents is not spent mentoring students. Better CV but worth it?
Center = Rémi Flamary . Left = members they follow (green edges). Right = members who follow them (blue edges). Top = mutual follows (orange edges, slightly larger). Drag any node to reposition; click to open that profile.