ELLIS Programs

ELLIS Programs bring together academics at regular meetings throughout Europe to promote free exchange of ideas and help create a European community of top AI researchers to retain and attract talent. Together, they stand up for European interests and generate high international visibility.

Discover the ELLIS Programs

ELLIS Health

We drive cutting-edge AI/ML research to revolutionize biomedicine and healthcare. By tackling critical challenges, we shape the future of AI-driven health...

ELLIS Robot Learning: Closing the Reality Gap!

This program focuses on central questions for closing the real-world gap for intelligent systems: How should the robot move? How to act? How to interact? How can...

Geometric Deep Learning

Our mission is to establish geometric principles, such as structure, symmetry, and invariance, as a foundational language for deep learning. This approach provides...

Human-centric Machine Learning

Help to ensure widespread benefits to, and acceptance from, the public by guaranteeing:
- Transparency, clear accountability, interpretability and fairness of...

Interactive Learning and Interventional Representations

We rethink the principles of interactive models of learning, exploring the role of causal modelling in bridging the gap between observational and interventional...

Learning for Graphics and Vision

The members of the ELLIS program ‘Learning for Graphics and Vision’ see a big opportunity to integrate classical computer graphics, geometry processing and 3D...

Machine Learning and Computer Vision

To provide a forum for meaningful scientific interactions between leading European Computer Vision researchers.

Machine Learning for Earth and Climate Sciences

Goal: Model and understand the Earth system with Machine Learning and Process Understanding
- Spatio-temporal anomaly and extreme events detection,...

Machine Learning for Molecule Discovery

To accelerate molecular discovery using machine learning and AI, with the goal of tackling global challenges like disease and climate change and promoting...

Multimodal Learning Systems

The goal of this program is to provide a venue to disseminate, discuss, and synthesize the latest developments in the area of multimodal learning systems including...

Natural Intelligence

To advance the science of natural intelligence by investigating how an evolving brain learns across tasks and domains. Our program shifts focus from task-centric...

Natural Language Processing

Natural language processing (NLP) and Large Language Models (LLMs) are transforming the way humans communicate with each other and with machines, with numerous...

Quantum and Physics Based Machine Learning

The aim of the ELLIS Program Quantum and Physics based machine learning (QPhML) is to use concepts from quantum physics and statistical physics to develop novel...

Robust Machine Learning

Focus of the program:
- Principles and methods for Robust ML
- Quantification and verification of Robust ML
- Applications in health,...

Semantic, Symbolic and Interpretable Machine Learning

This program concerns machine learning (ML) approaches which operate at the human abstraction level, where the world is described by entities, concepts, and their...

Theory, Algorithms and Computations of Modern Learning Systems

The rapid development of machine learning and AI has left a widening gap between empirical performance and theoretical understanding. The program brings together...

"If you're passionate about pushing the boundaries of AI research in a specific area and want to be part of the dynamic and collaborative European ecosystem, an ELLIS Program is the place to be. It’s a great way to make meaningful connections and amplify your work across the European research scene."

José Miguel Hernández Lobato
José Miguel Hernández Lobato

Co-Director, ELLIS Program Machine Learning for Molecule Discovery

How to start an ELLIS Program

While there is currently no call for new Programs, check out the requirements and evaluation criteria for ELLIS Programs.


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