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36 Hi! PARIS Papers Accepted at NeurIPS 2025

This year, 36 papers from Hi! PARIS affiliated researchers have been accepted at NeurIPS 2025, one of the world’s most prestigious conferences in artificial intelligence and machine learning., highlighting the strength and breadth of our research across partner institutions.

A strong showing that reflects our continued commitment to advancing the frontiers of AI for science, business, and society.

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.

Highlight Research
Solenne Gaucher

Why ignoring sensitive Data doesn’t make AI fair

At this year’s Hi! PARIS Summer School, Solenne Gaucher (École polytechnique) shed light on the growing challenge of fairness in AI. As algorithms trained on biased data shape decisions at scale, she reminded us that fairness is neither only a mathematical problem nor only an ethical one. Instead, it sits at the intersection of both, and demands attention from scientists, policymakers, and society alike.

Highlight Teaching

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.