31.03.2026
GRaM Competition @ ICLR 2026
Geometry Meets AI for Science
The GRaM Competition 2026 has been launched as a benchmark challenge in conjunction with the Workshop on Geometry-grounded Representation Learning and Generative Modeling (GRaM).
Participants are invited to model airflow around 3D airfoil geometries inspired by a Formula 1 front wing. The task is to predict future airflow dynamics based on past velocity fields and the underlying geometry, using approaches such as neural operators, graph neural networks, or transformers.
The dataset, provided by BeyondMath, includes simulated airflow across a wide range of geometric configurations, enabling research on sequential point-cloud prediction.
Submissions will be evaluated on a held-out test set. Participants can contribute individually or in teams and submit their solutions via GitHub. All valid submissions will be included in the workshop proceedings, with the option for co-authorship.
The winner will receive the MCML Award, including 500 € in prize money.
The application deadline is April 22, 2026 (AoE).
Further details are available on the official competition website.
Related
28.04.2026
Björn Ommer: How AI Can Transform Society if We Use It Responsibly
MCML PI Björn Ommer explains the philosophy behind Stable Diffusion and why his team focuses on efficiency.
23.04.2026
Teaching NLP in the LLM Era: Workshop TeachNLP 2026
MCML member Matthias Aßenmacher co-organized TeachNLP 2026, a workshop on designing NLP courses in the era of generative AI and LLMs.
23.04.2026
When Vision AI Hallucinates Details
Why do vision-language models invent details? Our PI Zeynep Akata and her team present a fix for AI hallucinations at CVPR 2026.