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

Another nice work from Salma, this time on the training of classifiers for #hyperspectral images under limited data conditions.

#HSI #AI #ML
#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 annotation. Self-supervised co...

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

Congrats Salma, well deserved.
Thanks for all your efforts and positive energy.
Lots of success on your future endeavors.
#AI #ML #HSI #Hyperspectral #deeplearning
#sqIRL #UAntwerp #imec

Some of the #NeurIPS 2025 papers our lab contributed to. Curious, please reach out to Thomas Dooms who is on site or just drop us an email

#Interpretability #explainability #MechInterp #XAI #AI #ML
#sqIRL #IDLab #UAntwerp

sqIRL - Interpretable Representation Learning Research lab focused on interpretable representation learning and explainable AI

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

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

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. ...

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

Redirecting

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

Feeling rewarded... Honored to be among the Top Reviewers at #NeurIPS this year.

#AI #ML #UAntwerp #sqIRL #IDLab #imec

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

This food is taking care of me. The pickled carrots on this avo toast are ✨🪷⚡🫂🧠💧🧯♊🤯👀 thank u #SQIRL off Virgil in LA

Updating my portfolio with this incredible image of a squirrel bum 🐿️ #sqirl

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

Thanks and congratulations to all the collaborators involved in these articles. Glad to see the invested efforts paid off #ECMLPKDD2025 #interpretability #explainability #UAntwerp #sqIRL #CS

With pleasure Prof. @elianapastor.bsky.social, thanks for having me.
The merits go to my co-authors, especially Hamed Behzadi, Toon Meynen and Thomas Dooms, students who drove this research.
links to papers at: idlab.uantwerpen.be/~joramasmogr...
#sqIRL #AI #ML #Interpretability #UAntwerp #XAI

Congrats Hamed, thanks for your contributions to the research of the #sqIRL lab and the education activities at #UAntwerp. Lots of success in your future projects.

Improving Neural Network Accuracy by Concurrently Training with a... Recently within Spiking Neural Networks, a method called Twin Network Augmentation (TNA) has been introduced. This technique claims to improve the validation accuracy of a Spiking Neural Network...

Benjamin Vandersmissen (25/04 evening) will show the effects that using a twin network has on learning processes and share insights on how TNA leads to superior predictive performance in a number of tasks for several architectures. #deeplearning #ML #ICLR2025 #sqIRL
openreview.net/forum?id=TEm...

Bilinear MLPs enable weight-based mechanistic interpretability A mechanistic understanding of how MLPs do computation in deep neural net- works remains elusive. Current interpretability work can extract features from hidden activations over an input dataset...

Thomas Dooms will show how to bilinear MLPs can server as more transparent component that provides a better lens to study the relationships between inputs, outputs and the weights that define the models. #mechinterp #interpretability #ML #AI #XAI #ICLR2025 #sqIRL
openreview.net/forum?id=gI0...

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

Go #sqIRL!.... we got two papers accepted at #ICLR 2025
The first for our lab. Congrats to Benjamin and Thomas and all the amazing collaborators that contributed to these efforts. More details will follow soon. Too happy to type :D

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

Our work on the #interpretability of #Capsule Networks have been accepted at #Neurocomputing. #sqIRL #UAntwerp
#CapsNets #XAI #AI #ML #DNN #ANN

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…

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

Well, Hi There.
Just moved in, usually post about research we do at #sqIRL on interpretable representation learning. Also love films, and anything in the middle of discovery and lovecraftian journeys.