EurIPS 2025 Workshops

We received a 52 proposals, which was more than we expected, so we had to move very quickly. In only a few days we recruited 39 highly qualified reviewers who generously agreed to step in on very short notice. 🙏

Despite an extremely tight schedule, the community delivered. The review period lasted less than a week, yet almost all reviews came in on time. For the remaining ones, our emergency reviewers stepped up, ensuring that nearly every proposal had three reviews.

Given the number and high quality of the submissions, the general chairs together with the affinity chairs worked hard behind the scenes to secure additional rooms for workshops. Still, the decisions were tough, since we had more strong proposals than we could accept.

We are excited to share the outcome below. A huge thank you to the reviewers, the general and affinity chairs, and my fellow workshop co-chairs Manuel, Yingzhen and Dan. We are very excited to see the workshops come to life and to meet the community in December.

Accepted Workshops

• Unifying Perspectives on Learning Biases
• Workshop on Epistemic Intelligence in Machine Learning
• Privacy-Preserving Machine Learning: Towards Tight Guarantees
• Causality for impact: Practical challenges for real-world applications of causal methods
• Differentiable systems and scientific machine learning
• 1st Workshop on Principles of Generative Modeling (PriGM)
• Machine Learning in Structural Biology
• Multimodal Representation Learning for Healthcare
• Workshop on the Science of Benchmarking and Evaluating AI
• Advances in Representation Learning for Earth Observation (REO)
• Foundations of Language Model Security: Theory, Practice, and Open Problems
• AICC: Workshop on AI for Climate and Conservation
• Machine Learning for Simulations in Biology and Chemistry - The 1st SIMBIOCHEM Workshop
• AI for Tabular Data
• Metacognition in Generative AI
• Medical Imaging meets EurIPS (MedEurIPS)
• Beyond regulation: Private governance & oversight mechanisms for AI
• Rethinking AI: efficiency, frugality and sustainability

Reviewers

We gratefully acknowledge the following reviewers whose rapid, high-quality efforts made this process possible: