MLx Representation Learning & Generative AI: 7–10 August 2025
Join us this summer for the Oxford Machine Learning Summer School (OxML) at the University of Oxford’s Mathematical Institute and online.
Website: www.oxfordml.school
Application Deadline: 07 July 2025
Explore the theory and applications behind today’s most powerful ML models:
Topics include LLMs, CV, multi-modal models, RL, Bayesian ML, geometric DL, GenAI product development, and more.
Confirmed Speakers & Topics:
· Aymeric Dieuleveut (École Polytechnique): Conformal prediction
· Peyman Milanfar (Google): Denoising in imaging & ML
· Cheng Zhang (Meta): TBC
· Abdul Fatir Ansari (AWS): Time series representation learning
· Ashley Edwards (Runway): Generative AI in images/videos
· Fazl Barez (Oxford): AI safety & alignment
· David Salinas (UW): Tabular foundation models, AutoML
· Edward Johns (Imperial): GenAI for robotics
· Ilia Shumailov (DeepMind): ML security
· Haitham Bou-Ammar (Huawei): TBC
· Gerhard Neumann (KIT): TBC
· Hannaneh Hajishirzi (UW, AI2): TBC
Practical Workshops
Open-Source Tools for ML on Edge Devices & Robots:
· Vincent Moens (Meta)
· Rémi Cadène (Hugging Face)
· Xuan-Son Nguyen (Hugging Face)
Deploying CV Applications to Embedded Systems:
· Mergen Nachin (Meta)
We welcome applications from PhD students, postdocs, researchers, and professionals in ML and related disciplines.
Apply now and join us in shaping the future of machine learning.