Oxford Machine Learning Summer School (OxML): MLx Representation Learning & GenAI 2025

MLx Representation Learning & GenAI covers the latest developments in representation learning, including those behind the success of generative AI. The program features a deep dive into ML in domains such as NLP (including LLMs), computer vision (including foundational/frontier image, video and multi-modal models), Bayesian ML, Reinforcement Learning, Geometrical DL, and more. Speakers include Peyman Milanfar (Google), Aymeric Dieuleveut (École Polytechnique), Abdul Fatir Ansari (AWS AI Labs), Ashley Edwards (Runway), Fazl Barez (University of Oxford), Haitham Bou-Ammar (Huawei), Gerhard Neumann (KIT), Hannaneh Hajishirzi (University of Washington/Allen Institute for AI), David Salinas (University of Washington), Edward Johns (Imperial College London), Ilia Shumailov (Google DeepMind), and workshop leaders from Meta and Hugging Face.