18.10.2024

MCML at ECAI 2024

Three Accepted Papers

We are happy to announce that MCML researchers have contributed a total of 3 papers to ECAI 2024. Congrats to our researchers!

M. Bernhard • T. Hannan • N. Strauß • M. Schubert
Context Matters: Leveraging Spatiotemporal Metadata for Semi-Supervised Learning on Remote Sensing Images.
ECAI 2024 - 27th European Conference on Artificial Intelligence. Santiago de Compostela, Spain, Oct 19-24, 2024. DOI GitHub

Y. Liu • F. Shi • D. Wang • Y. Zhang • H. Schütze
ChatZero: Zero-Shot Cross-Lingual Dialogue Generation via Pseudo-Target Language.
ECAI 2024 - 27th European Conference on Artificial Intelligence. Santiago de Compostela, Spain, Oct 19-24, 2024. DOI

J. Nam • I. Chalkidis • M. Rezaei
Hyperbolic Contrastive Learning for Document Representations – A Multi-View Approach with Paragraph-level Similarities.
ECAI 2024 - 27th European Conference on Artificial Intelligence. Santiago de Compostela, Spain, Oct 19-24, 2024. DOI

05.02.2026

Needle in a Haystack: Finding Exact Moments in Long Videos

ECCV 2024 research introduces RGNet, an AI model that finds exact moments in long videos using unified retrieval and grounding.

04.02.2026

Benjamin Busam Leads Design of Bavarian Earth Observation Satellite Network “CuBy”

Benjamin Busam leads the scientific design of the “CuBy” satellite network, delivering AI-ready Earth observation data for Bavaria.

©Florian Generotzky / LMU

30.01.2026

Cracks in the Foundations of Cosmology

Daniel Grün examines cosmological tensions that challenge the Standard Model and may point toward new physics.

29.01.2026

How Machines Can Discover Hidden Rules Without Supervision

ICLR 2025 research shows how self-supervised learning uncovers hidden system dynamics from unlabeled, high-dimensional data.

28.01.2026

Matthias Nießner Co-Founds AI Startup Synthesia

Julien Gagneur comments on DeepMind’s AlphaGenome, highlighting its precision and remaining challenges in genome prediction.