Iris Groen — accepted AI-conference papers

2026

The Human Brain as a Dynamic Mixture of Expert Models in Video Understanding

Christina Sartzetaki, Anne W. Zonneveld, Pablo Oyarzo, Alessandro Thomas Gifford, Radoslaw Martin Cichy, Pascal Mettes +1

ICLR 2026poster

The human brain is the most efficient and versatile system for processing dynamic visual input. By comparing representations from deep video models to brain activity, we can gain insights into mechanistic solutions for effective video processing, important to better understand the brain and to build…

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2025

BrainACTIV: Identifying visuo-semantic properties driving cortical selectivity using diffusion-based image manipulation

Diego Garcia Cerdas, Christina Sartzetaki, Magnus Petersen, Gemma Roig, Pascal Mettes, Iris Groen

ICLR 2025poster

The human brain efficiently represents visual inputs through specialized neural populations that selectively respond to specific categories. Advancements in generative modeling have enabled data-driven discovery of neural selectivity using brain-optimized image synthesis. However, current methods in…

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2025

One Hundred Neural Networks and Brains Watching Videos: Lessons from Alignment

Christina Sartzetaki, Gemma Roig, Cees G. M. Snoek, Iris Groen

ICLR 2025poster

What can we learn from comparing video models to human brains, arguably the most efficient and effective video processing systems in existence? Our work takes a step towards answering this question by performing the first large-scale benchmarking of deep video models on representational alignment to…

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