people
Brussels, Belgium
Ward Gauderis
Hello! I’m an FWO PhD Fellow in Brussels studying compositionality as a mathematical foundation for deep learning. I use tensor networks and category theory to ground the analysis of neural representations in the weight geometry of their architecture.
How can compositional design improve compositional behaviour?
My work proposes tensor models as a unified framework for tractable neuro-symbolic integration and mechanistic analysis. By combining structural constraints with MDL to disentangle spurious interactions, I aim to enable truly compositional generalisation and interpretability. Learn more here!
Antwerp, Belgium
Thomas Dooms
Hey! I’m a PhD student exploring weight-based interpretability. I’m interested in understanding how neural networks encode complex behaviours and knowledge.
Modern deep networks are astonishingly intricate and difficult to disentangle. I argue that we should embrace this complexity rather than shoehorn them into simplistic feature sets, flattening the very structures we hope to understand.
My work treats a model’s weights as a compositional system whose parts interact and recombine, much like phrases in a language. By developing flexible, formally grounded tools for compositional analysis, I aim to reveal how rich mechanisms and representations arise and how we can reason about them.