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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
I'm happy to announce the #NeurIPS2026 workshop TS-LIMITS (Generalization for Time Series in Tight Settings: Latency, Inference, Memory, prIvacy and susTainability), which will be hosted in Paris, France 🇫🇷, Dec 12–13 2026! 🔗 Check out details and call for papers: ts-limits.gi…
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?
Back to paper exam for my machine learning course next year (thanks LLMs for ruining lab reports BTW). But at least I'm having fun designing ML "skill" questions. My neighbors can probably hear "wicked witch of the west" cackling this morning.
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