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sqIRL Lab

@sqirllab.bsky.social
151 followers 350 following 37 posts

We are sqIRL(squirrel), the Interpretable Representation Learning Lab based at IDLab - University of Antwerp & imec. Research Areas: #RepresentationLearning, #Interpretability, #explainability #ML #AI #XAI #mechinterp Website: sqirllab.github.io

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sqIRL Lab @sqirllab.bsky.social · 08/09/2026
We are at #ECMLPKDD '26 presenting our work on #HDC anomaly detectors, #explainability for autonomous vessels and weakly supervised object #localization. We also gave a tutorial on the evolution of #interpretability methods. Want to more? get in touch #AI #ML #XAI #UAntwerp
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sqIRL Lab @sqirllab.bsky.social · 02/07/2026
Another #sqIRL graduated! Congratulation Saja on the successful defense of your PhD. Lots of success #AI #ML #CapsNets #XAI #interpretability #explainability #IDLab #UAntwerp
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sqIRL Lab @sqirllab.bsky.social · 26/05/2026
Accurate object localization at reduced annotation/computational cost? #TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features. More at #CVPR2026 #WSOL #CV #sqIRL #IDLab #UAntwerp
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sqIRL Lab @sqirllab.bsky.social · 18/05/2026
The review process of scientific articles is not perfect, but a way to improve is by contributing to it in a diligent manner. Proud to have an #ICML'26 gold reviewer among us. Congrats Benjamin @icmlconf.bsky.social #AI #ML #Science #PeerReview #Award #UAntwerp #IDLab
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sqIRL Lab @sqirllab.bsky.social · 07/05/2026
Need more evidence on the potential of #AI #interpretability to support scientific #discovery? ICYMI: during his fellowship at @goodfire.bsky.social Thomas contributed to understanding of genetic variants using interpretability methods www.goodfire.ai/research/eve... Proud to have had you onboard
goodfire.ai
Explaining 4.2 million genetic variants with state-of-the-art, interpretable predictions
State-of-the-art, interpretable variant effect prediction for all 4.2 million ClinVar variants. A collaboration between Goodfire and Mayo Clinic.
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sqIRL Lab @sqirllab.bsky.social · 05/05/2026
We are celebrating at the sqIRL lab Some days ago Benjamin successfully defended hi PhD on parameter-efficient models Thanks for the cool discussions and all your contributions to #sqIRL/#IDLab. Congratulations and lots of success dr. Vandersmissen! #LTH #TNA #AI #ML #UAntwerp
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sqIRL Lab @sqirllab.bsky.social · 20/03/2026
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 #DEFRA #AHOI
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sqIRL Lab @sqirllab.bsky.social · 21/02/2026
Interested in training hyperspectral image analysis models with reduced annotated data? Salma explores this question in her recent paper. doi.org/10.1007/s104... #hyperspectral #HSI #AI #ML #ContrastiveLearning #sqIRL #IDLab #UAntwerp #imec
doi.org
Enhancing hyperspectral image prediction with contrastive learning in low-label regimes - Applied Intelligence
Labelled data scarcity remains a longstanding challenge in hyperspectral image analysis, primarily due to high spectral dimensionality and the laborious nature of manual annotation. Self-supervised co...
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sqIRL Lab @sqirllab.bsky.social · 20/01/2026
Time to celebrate! Last week Salma successfully defended her PhD on #Representation #Learning for #Hyperspectral Image Analysis. Thanks for the cool research, your support to the members of the group, and all your contributions to #sqIRL/#IDLab. Congratulations Dr. Haidar #HSI #AI #ML #UAntwerp
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sqIRL Lab @sqirllab.bsky.social · 03/12/2025
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=sVh3e... #Interpretability #mechinterp #xai #AI #ML #sqIRL #UAntwerp
openreview.net
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sqIRL Lab @sqirllab.bsky.social · 27/11/2025
We just launched a #linkedin page. Please help us spread the word and share it with people that might be interested. linkedin.com/company/sqir... #RepresentationLearning #interpretability #explainability #XAI #mechinterp #AI #ML #sqIRL #ComputerVision #HSI #IDLab #UAntwerp
linkedin.com
sqIRL (Interpretable Representation Learning) | LinkedIn
sqIRL (Interpretable Representation Learning) | 23 followers on LinkedIn. We are "squIRreL", the Interpretable Representation Learning Lab based at IDLab - University of Antwerp & imec. ...
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sqIRL Lab @sqirllab.bsky.social · 25/11/2025
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.ne... #CapsNets #AI #ML #XAI #sqIRL #UAntwerp #IDLab
doi.org
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sqIRL Lab @sqirllab.bsky.social · 04/11/2025
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
doi.org
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José Oramas @jaom7.bsky.social · 21/10/2025
Feeling rewarded... Honored to be among the Top Reviewers at #NeurIPS this year. #AI #ML #UAntwerp #sqIRL #IDLab #imec
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sqIRL Lab @sqirllab.bsky.social · 17/10/2025
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
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sqIRL Lab @sqirllab.bsky.social · 14/09/2025
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
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José Oramas @jaom7.bsky.social · 17/06/2025
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
project.inria.fr
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sqIRL Lab @sqirllab.bsky.social · 10/06/2025
Part of the #sqIRL lab at the IDLab day 2025 #uantwerp
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sqIRL Lab @sqirllab.bsky.social · 02/06/2025
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
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José Oramas @jaom7.bsky.social · 13/05/2025
Honored to be selected among the Outstanding Reviewers at #CVPR2025. #UAntwerp @sqirllab.bsky.social #IDLab cvpr.thecvf.com/Conferences/...
cvpr.thecvf.com
2025 Progam Committee
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José Oramas @jaom7.bsky.social · 08/05/2025
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
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sqIRL Lab @sqirllab.bsky.social · 29/04/2025
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
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sqIRL Lab @sqirllab.bsky.social · 24/04/2025
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
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sqIRL Lab @sqirllab.bsky.social · 21/02/2025
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-...
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sqIRL Lab @sqirllab.bsky.social · 19/02/2025
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
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sqIRL Lab @sqirllab.bsky.social · 23/01/2025
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
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sqIRL Lab @sqirllab.bsky.social · 15/12/2024
Recent work published by the #sqIRL Lab on the training of competitive deeper Forward-Forward Networks. #FF #localLearning #ML #RepresentationLearning
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Michael Tran @huytransformer1.bsky.social · 22/11/2024
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
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Stella Biderman @stellaathena.bsky.social · 09/12/2024
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.
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Federico Adolfi @fedeadolfi.bsky.social · 14/11/2024
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
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sqIRL Lab @sqirllab.bsky.social · 03/12/2024
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
sciencedirect.com
Towards the characterization of representations learned via capsule-based network architectures
Capsule Neural Networks (CapsNets) have been re-introduced as a more compact and interpretable alternative to standard deep neural networks. While rec…
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Gasper Begus @begus.bsky.social · 30/11/2024
Check out this starter pack! go.bsky.app/BYkRryU
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