Prob_AI Winter School - Mathematical Foundations of Probabilistic AI - 5th to 8th January 2026

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Shelley Watson

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Jun 6, 2025, 5:39:57 PM6/6/25
to Women in Machine Learning

Prob_AI Winter School - Mathematical Foundations of Probabilistic AI - 5th to 8th January 2026

University of Warwick 

Event Overview

The Prob_AI Hub is running the first Mathematical Foundations of Probabilistic AI Winter School from 5th to 8th January 2026, at the University of Warwick. This School is targeted at PhD students, academic researchers, and professionals; and features world-leading researchers from academia and industry speaking about recent advances in AI and machine learning. The school has a particular focus on the mathematical aspects and underpinnings of AI. The event is free to attend.

Topics

  • Diffusion Generative AI
  • Large Language Models
  • Learning in Function Spaces
  • Normalising Flows & Optimal Transport
  • Uncertainty Quantification and Bayesian Deep Learning
  • Ethics of AI

 Currently, our confirmed speakers are:

  • Arnaud Doucet, Google DeepMind
  • Marie-Therese Wolfram, University of Warwick
  • Desi Ivanova, University of Oxford
  • Jack Stilgoe, University College London
  • Domenec Ruiz-Balet, Université Paris Dauphine
  • James Hensman, Microsoft Research
  • Yingzhen Li, University College London

Applications

We will make our first round of decisions on applications by the end of July. To be considered at this round, applications must be received by Monday 21st July 2025.

 For full details please see: Prob_AI Hub Winter School - Mathematical Foundations of Probabilistic AI

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