ELLIS Summer School at Institute Tübingen
The MLSS 2026 programme is an intensive two-week summer school bringing together speakers from academia, industry research labs, and startups, covering a broad range of topics from foundational principles to state-of-the-art machine learning methods and applications.
The programme includes
Lectures and tutorials on core machine learning methods
Research talks on recent advances and emerging directions
Panel discussions spanning academia, industry, and startups
Practical sessions and hands-on tutorials in smaller groups
Poster sessions for participant presentations
Informal discussions and networking opportunities
Topic areas include
Deep learning and representation learning
Foundation models and generative AI
Computer vision
Probabilistic modelling and Bayesian methods
Causal inference
Optimization
Learning theory
Machine learning for science
Trustworthy ML, including fairness, privacy, and interpretability
As the 50th edition of MLSS, the programme continues a long-standing tradition of educating and mentoring early-career researchers, helping them develop into the next generation of experts shaping the future of machine learning.
Contact:
This is part of the 2026 ELLIS Winter & Summer School Program
