Embed2Scale partners at EurIPS 2025 REO Workshop

On December 7, 2025, Erik Scheurer and Gabriele Cavallaro from the Jülich Supercomputing Center attended the inaugural Representation Learning for Earth Observation (REO) workshop at EurIPS 2025 in Copenhagen, Denmark.

They presented the poster “LEPA: Learning Geometric Equivariance in Earth Observation with a Predictive Architecture” during the poster session slots between talks. Their work explores the geometric interpolation of embeddings and how to improve equivariance through a dataset pretraining strategy. The main goal behind this research is to address a practical challenge in deploying an API for downloading embeddings: how to align user and embedding data without repeated encoder passes for generating new embeddings.

Their contribution aligned with the workshop’s broader goal: advancing representation learning methods tailored to Earth observation, bridging machine learning innovation with environmental and climate applications.

Their attendance was an opportunity to showcase the latest Embed2Scale research to a highly engaged scientific audience, reinforcing the project’s role in shaping scalable and interpretable AI for Earth monitoring.