Highlight Research

LACONIC: A 3D layout adapter for controllable image creation

What happens when artificial intelligence pushes the boundaries of image creation from flat, 2D visuals into fully controllable 3D scenes?  In their work, Maks Ovsjanikov (Professor at École polytechnique) and Léopold Maillard (PhD Student at École polytechnique), introduce LACONIC, a new 3D layout adapter, pushing generative image models into real 3D. Built on top of existing diffusion […]

Highlight Research

Rethinking Uncertainty in Machine Learning

As machine learning systems become embedded in critical decisions, from finance to infrastructure, the need for trustworthy, interpretable predictions has never been greater. Aymeric Dieuleveut, Professor of Statistics and Machine Learning at École polytechnique and scientific co-director of the Hi! PARIS Center, believes the key lies not in the models themselves, but in how we communicate their uncertainty.

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AI Seminar Cycle

The Hi! PARIS AI Seminar Cycle is a monthly series showcasing leading research in Artificial Intelligence and Data Science. Held on the first Wednesday of each month, it brings together top scholars, students, and partners to explore AI’s scientific, business, and societal impact across key themes such as foundation models, trustworthy AI, and AI for science and engineering.