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

Feeling rewarded... Honored to be among the Top Reviewers at #NeurIPS this year. #AI #ML #UAntwerp #sqIRL #IDLab #imec

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

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

The deadline for the #AIMLAI workshop held jointly with #ECMLPKDD2025 has been extended until June 21st. Looking forward to last-minute submissions on work around #interpretability and #explainability of #AI / #ML project.inria.fr/aimla #mechinterp #xai

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

Our lab got two papers accepted at #ECMLPKDD2025 on the topics of #Interpretability for Spiking NNs and self-supervised representation learning with embedded interpretability . Congrats to Jasper, Hamed, Fabian and our collaborators. #SNN #SIM #AI #ML #neuromorphic #xai #interpretableML

Honored to be selected among the Outstanding Reviewers at #CVPR2025. #UAntwerp @sqirllab.bsky.social #IDLab cvpr.thecvf.com/Conferences/...

It is confirmed, the #AIMLAI workshop will be held jointly with @ecmlpkdd.org. We invite the submissions of long and short papers covering work around #interpretability and #explainability of #AI/#ML. Deadline: 14/06/25 CfP: shorturl.at/yYQ9G Website: shorturl.at/W9r1A #XAI #mechinterp #ECMLPKDD

Last week our lab celebrated the doctoral defense of Hamed Behzadi. It has been four years since Hamed join us, and his evolution into fully fledged independent researcher has been constant. Congratulations! See shorturl.at/296MV for some of the work produced by Hamed. #ML #AI #Interpretability

If you are at #ICLR2025 and interested on how to understand DNNs from its weights and on how to improve predictive performance of a DNN via Twin Network Augmentation, we encourage you to get in touch with Thomas and Benjamin who will be presenting our work there. #sqIRL #UAntwerp #XAI

We had the opportunity to contribute to the Research Day of the Antwerp Center of Responsible #AI ( #ACRAI ) where Salma and Hamed presented their work on #explainability-driven #HSI analysis and model #interpretability, respectively. #ML @uantwerpen.be www.uantwerpen.be/en/research-...

This week we had the visit of Prof. Eliana Pastor (DBDMG @PoliTO) who gave a presentation on her research around the topics of #trustworthyAI, #Bias analysis and #FairnessAI. Very good work and interesting ideas. @elianapastor.bsky.social we hope to host you again soon. #explainability #AI #ML

A great start for 2025. Proud to announce that our group (#sqIRL/IDLab) got two papers accepted at #ICLR2025. A first for our young lab. Thanks to our collaborators, the FAIR Program and the Dept. of CS @uantwerpen.bsky.social for supporting this research. #AI #ML #interpretability #XAI

Recent work published by the #sqIRL Lab on the training of competitive deeper Forward-Forward Networks. #FF #localLearning #ML #RepresentationLearning

AI Conferences @neuripsconf.bsky.social @cvprconference.bsky.social @iccv.bsky.social @eccv.bsky.social @iclr-conf.bsky.social @blog.neurips.cc.web.brid.gy go.bsky.app/45EuhSi

Neural networks are not black boxes. They're the opposite of black boxes: we have extensive access to their internals. I think people have accepted this framing so innately that they've forgotten it's not true and it even warps how they do experiments.

A starter pack of people working on interpretability / explainability of all kinds, using theoretical and/or empirical approaches. Reply or DM if you want to be added, and help me reach others! go.bsky.app/DZv6TSS

Congratulations to Saja Tawalbeh on the acceptance of her work on the #interpretability of #Capsule Networks at the #Neurocomputing Journal. Pre-proof: www.sciencedirect.com/science/arti... @uantwerpen.bsky.social #XAI #ML #AI #sqIRL

Check out this starter pack! go.bsky.app/BYkRryU