sqIRL lab

Arian presenting our work on measuring the #uncertainty of visual #explanations from autonomous navigation systems at the #ACRAI research day. A paper with more details is in the works. A link will follow soon. #InterpretableML #XAI #AI #ML #UAI #sqIRL #IDLab #UAntwerp #imec

Interested in training hyperspectral image analysis models with reduced annotated data? Salma (@Salma_h) explores this question in her recent paper. doi.org/10.1007/s10489… #hyperspectral #HSI #AI #ML #ContrastiveLearning #sqIRL #IDLab #UAntwerp #imec

Time to celebrate! Last week @Salma_h successfully defended her PhD on #Representation #Learning for #Hyperspectral Image Analysis. Thanks for the cool research, your support and all your contributions to #sqIRL/#IDLab. Congratulations Dr. Haidar! #HSI #AI #ML #UAntwerp

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

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

Have a look at the work our lab will be presenting at #NeurIPS '25. On the main track, SimpleStories, a dataset full of simple yet diverse stories which has the potential of becoming the MNIST for language. openreview.net/pdf?id=sVh3eQ6… #Interpretability #mechinterp #xai #AI #ml

We just launched a #linkedin page. Please help us spread the word and share it with people that might be interested. linkedin.com/company/sqirl-… #RepresentationLearning #interpretability #explainability #XAI #mechinterp #AI #ML #sqIRL #ComputerVision #HSI #IDLab #UAntwerp

Saja's survey on the #intepretability/#explainability of Capsule Networks was accepted at #Neurocomputing. Give it a look while it is free to access. doi.org/10.1016/j.neuc… #CapsNets #AI #ML #XAI #sqIRL #UAntwerp #IDLab

Thanks for the #Flanders AI Research Program (FAIR) for supporting this collaboration and to the involved persons for the fruitful collaboration. #Neuromorphic #hyperdimensional #interpretability #Explainability #VSA #xai #AI #ML #FAIR #UAntwerp #imec

#HDC models aim to be an energy-efficient alternative to current #AI systems and thanks to the efforts of our collaborators, their decision-making process is now more interpretable. #Neuromorphic #interpretability #Explainability #VSA #xai #AI #ML #FAIR #UAntwerp #imec

Our work on Interpretable #Hyperdimensional Computing (HDC) classifiers for #tabular data is now available at #Neurocomputing. doi.org/10.1016/j.neuc… #Neuromorphic #interpretability #Explainability #VSA #xai #ML #FAIR #UAntwerp #imec

Thanks to our collaborators from the #VUB, Ward Gauderis and Geraint Wiggins; as well as #sqIRL members Thomas Dooms (@thomasdooms) and José Oramas (@jaom7) for the nice collaboration. #UAntwerp #FlandersAI #FAIR #AIFlanders

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 #ML #AI

If *everybody* you come across suddenly seems to thinks that a new idea is amazing and novel, it usually means it’s neither. Look in your timeline and spot the latest “breakthrough” paper. It’s probably more hype than anything. The good stuff usually takes time to get noticed.

This month we welcomed Dr. Renata Turkeš, who will be exploring #TDA principles for the characterisation of generalisation capabilities of #DNN s. Welcome to the lab Renata. renata-turkes.github.io #UAntwerp

Part of the #sqIRL lab at the IDLab day 2025 @IDLabResearch #uantwerp

A week left for the submission deadline for the #AIMLAI workshop to be held jointly with @ECMLPKDD'25 We welcome long and short papers covering work around #interpretability and #explainability of #AI/#ML Submission deadline: 14/06/25 project.inria.fr/aimlai #xai #ECMLPKDD2025

Our lab got two papers accepted at #ECMLPKDD2025 on the topics of #Interpretability for Spiking NNs and self-supervised learning with embedded interpretability. Congrats to Jasper, @behzadikhormuji, & Fabian. #SNN #ML #neuromorphic #xai #interpretableML @IDLabResearch #UAntwerp

Thank you, Prof. @jaom7 (@sqIRLlab ), for sharing insights on Model Interpretation at our XAI seminar in the Explainable and Trustworthy AI course at PoliTo! 💡 He shared his work on coreset-based model interpretation and weight-based interpretability for neural networks.