@sqIRLlab

We are sqIRL (squirrel), the #Interpretable #Representation Learning Lab based IDLab - @UAntwerpen & #imec #ML #AI #Explainability #RepresentationLearning #XAI

 Antwerp, Belgium
sqirllab.github.io/
Joined December 2024
  • Tweets43
  • Following137
  • Followers27
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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 retweeted
José Oramas@jaom7Sep 7
This year's edition of #AIMLAI @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 #ECMLPKDD
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Another sqIRL graduated! Congratulation Saja (@sajatawalbeh91) on the successful defense of your PhD. Lots of success #AI #ML #CapsNets #XAI #interpretability #explainability #sqIRL #IDLab #UAntwerp
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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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The main highlights of #TriLite include: • State-of-the-art performance • < 1M trainable parameters • single-stage training We will be glad to get in touch at #CVPR2026 to discuss further. We thank #DEFRA for supporting this research #CV #WSOL #AI #IDLab #UAntwerp #imec
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TriLite: Efficient Weakly Supervised Object Localization with Universal Visual Features and Tri-Region Disentanglement Arian Sabaghi, Jose Oramas CVPR, 2026. Code + additional resources: ariansabaghi.com/ Paper URL: openaccess.thecvf.com/conten…
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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 #AI #ML #Science #PeerReview #Award #UAntwerp #IDLab
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Need more evidence on the potential of #AI #interpretability to support scientific #discovery? ICYMI: during his fellowship at @GoodfireAI Thomas (@thomasdooms) contributed to the understanding of #genetic variants using interpretability methods Proud to have had you onboard!
Goodfire
@GoodfireAIApr 14
We achieved state-of-the-art performance in predicting which of 4.2 million genetic variants cause diseases by interpreting a genomics model, in a new preprint with @MayoClinic. We're now releasing an open source database for all variants in the NIH's clinvar database. 🧵(1/8)
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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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Want to know more about Benjamin's work? hdl.handle.net/10067/2223590…
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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
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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/s10489-025-0… #hyperspectral #HSI #AI #ML #ContrastiveLearning #sqIRL #IDLab #UAntwerp #imec

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...

link.springer.com
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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
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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=sVh3eQ… #Interpretability #mechinterp #xai #AI #ml
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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/ba… #Interpretability #mechinterp #compinterp #xai #AI #ML

Bilinear Autoencoders — Thomas Dooms

An autoencoder architecture that decomposes activations into polynomial manifolds.

tdooms.github.io
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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
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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-l… #RepresentationLearning #interpretability #explainability #XAI #mechinterp #AI #ML #sqIRL #ComputerVision #HSI #IDLab #UAntwerp

sqIRL | LinkedIn

sqIRL | 129 followers on LinkedIn. We are "squIRreL", the Interpretable Representation Learning Lab based at IDLab - University of Antwerp & imec. | The Interpretable Representation Learning lab,...

linkedin.com
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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.neucom.202… #CapsNets #AI #ML #XAI #sqIRL #UAntwerp #IDLab
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Our work on Interpretable #Hyperdimensional Computing (HDC) classifiers for #tabular data is now available at #Neurocomputing. doi.org/10.1016/j.neucom.202… #Neuromorphic #interpretability #Explainability #VSA #xai #ML #FAIR #UAntwerp #imec
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#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
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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
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