#CompInterp
This week our lab was present at the Flanders AI Research day. There we contributed with a deep dive session on #Compositional #Interpretability More details at: compinterp.github.io
#CompInterp #interpretableML #XAI #explainability #aisafety
October 17, 2025 at 8:03 AM
The tutorial covered methods from the early days of deep learning, passing through conternporary mechanistic interpretability and more, state-of-the-art compositional approaches.

#interpretability #mechinterp #compinterp #compositionality #xai #AI #ML #AIMLAI #ECMLPKDD
September 7, 2026 at 1:45 PM
This year's edition of #AIMLAI at #ECMLPKDD 2026 is on.
This morning we had a tutorial "On the Evoluion of Interpretability Methods" given together with my collaborators @thomasdooms, Ward Gauderis and Geraint Wiggins.

#interpretability #mechinterp #compinterp #xai #AI #ML
September 7, 2026 at 1:45 PM
Kudos to Thomas and the involved collaborators for the solid contributions to the field.

Curious about our work, have a look at our website: sqirllab.github.io/

#Interpretability #mechinterp #compinterp #xai #AI #ML
#sqIRL #UAntwerp #IDLab
sqIRL - Interpretable Representation Learning
Research lab focused on interpretable representation learning and explainable AI
sqirllab.github.io
December 3, 2025 at 9:00 AM
At the MI workshop (spotlight), we show how Bilinear Autoencoders ease the analysis of neural representations through their decomposition into polynomial latents.
Paper and the cool demos at tdooms.github.io/research/bae

#Interpretability #mechinterp #compinterp #xai #AI #ML
#UAntwerp #IDLab
tdooms
tdooms.github.io
December 3, 2025 at 9:00 AM