Skip to main content
Template for science and technology presentation. Plexus style background.
Alex - stock.adobe.com

Institute of Explainable Machine Learning

The Institute of Explainable Machine Learning (EML) is dedicated to advancing the understanding of AI models, for the development of more reliable and transparent systems.

 

We are always looking for motivated students and researchers to join our group. If you are interested, check our open positions.

The Institute of Explainable Machine Learning (EML) is dedicated to advancing the understanding of AI models, for the development of more reliable and transparent systems.

 

We are always looking for motivated students and researchers to join our group. If you are interested, check our open positions.

About our Research

Our research directions include:

  • multi-modality
  • explainability
  • zero-shot learning

 

Check out our latest publications for more details.

Our Team

Zeynep Akata

Professor

Maria Alejandra Bravo

Postdoctoral Researcher

Quentin Bouniot

Postdoctoral Researcher

Anders Christensen

PhD Researcher

Jessica Bader

PhD Researcher

Leander Girrbach

PhD Researcher

Luca Eyring

PhD Researcher

Lukas Thede

PhD Researcher

Massimo Bini

PhD Researcher

Mateusz Pach

PhD Researcher

Rui Xiao

PhD Researcher

Sanghwan Kim

PhD Researcher

Simon Roschmann

PhD Researcher

Yiran Huang

PhD Researcher

Gul Zain

Research Scientist

Razieh Rezaei

Research Scientist

Hyeon-Woo Nam

Visiting Researcher

Emre Akbas

Visiting Faculty

Ronald Skorobogat

MSc thesis student
0
Postdoctoral Researchers
0
PhD Researchers
0
Collaborating Researchers
0
Collaborating Faculty

EML Publications

Machine Learning Algorithms
Lila Patel - stock.adobe.com
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2025

Context-Aware Multimodal Pretraining

Karsten Roth, Zeynep Akata, Dima Damen, Ivana Balazevic*, Olivier J. Henaff*

Read More
Data transmission channel.
spainter_vfx - stock.adobe.com
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2025

COSMOS: Cross-Modality Self-Distillation for Vision Language Pre-training

Sanghwan Kim, Rui Xiao, Mariana-Iuliana Georgescu, Stephan Alaniz, Zeynep Akata

Read More
Transfer und Netzwerke
© Nopadol - stock.adobe.com
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2025

FLAIR: VLM with Fine-grained Language-informed Image Representations

Rui Xiao, Sanghwan Kim, Mariana-Iuliana Georgescu, Zeynep Akata, Stephan Alaniz

Read More
KI Bioengineering
© Chaosamran_Studio - stock.adobe.com
IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2025

How to Merge Your Multimodal Models Over Time?

Sebastian Dziadzio*, Vishaal Udandarao*, Karsten Roth*, Ameya Prabhu, Zeynep Akata, Samuel Albanie, Matthias Bethge

Read More
network social online, background 3d illustration rendering, machine deep learning, data cloud storage digital, science neuron, plexus cell brain, futuristic connecting, technology system
issaronow - stock.adobe.com
International Conference on Learning Representations, ICLR 2025

Disentangled Representation Learning with the Gromov-Monge Gap

Théo Uscidda*, Luca Eyring*, Karsten Roth, Fabian J Theis, Zeynep Akata*, Marco Cuturi*

Read More
Neurological net system
Vink Fan - stock.adobe.com
International Conference on Learning Representations, ICLR 2025

Building, Reusing, and Generalizing Abstract Representations from Concrete Sequences

Shuchen Wu, Mirko Thalmann, Peter Dayan, Zeynep Akata, Eric Schulz

Read More
Data science
PNG City / adobe stock
International Conference on Learning Representations, ICLR 2025

Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)

Leander Girrbach, Stephan Alaniz, Yiran Huang, Trevor Darrell, Zeynep Akata

Read More
Raum Strahlung
©hqrloveq - stock.adobe.com
International Conference on Learning Representations, ICLR 2025

Decoupling Angles and Strength in Low-rank Adaptation

Massimo Bini, Leander Girrbach, Zeynep Akata

Read More

Contact Coordinator

Viktoria Schweiberger

Foreign Language Assistant