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Tuesday 10th February 2026 17:00 CET
Prof. Vicky Kalogeiton
Intelligent robots do not just respond to command; they imagine what you meant, what you wanted, what you believed. And they do this while learning from very little, and running on a chip in your living room.
In this talk, I will present recent advances in generative modeling that aim to equip embodied agents with efficient models that can run faster, with fewer data, and more efficient models and imagine possible futures under uncertainty.
Vicky Kalogeiton is a Professor at École Polytechnique, IP Paris and an Ellis member. Before, she was a research fellow at the University of Oxford and obtained her PhD from Inria and Edinburgh University. Part of her thesis won the best poster award from the University of Grenoble Alpes, and her master’s thesis won the best master’s thesis award from DUTh. Since 2021, projects she supervised have received several awards, including spotlights at NeurIPS 2025 and CVPR 2024, a student honorable mention award at ACCV 2022, and the best paper award at ICCV-W 2021. She will be Program Chair for CVPR 2027 and Diversity Chair for ICCV 2025. Since 2021, she has been serving regularly as an Area Chair at major vision conferences (outstanding Area Chair in ACCV 2022) and before, she used to serve as a reviewer, having been awarded six times as an outstanding reviewer. Her research interests focus on generative AI using visual data, text, and audio.
