@ualberta.bsky.social + Amii.ca Fellow! 🥳 Recruiting students to develop theories of cognition in natural & artificial systems 🤖💭🧠. Find me at #NeurIPS2025 workshops (speaking coginterp.github.io/neurips2025 & organising @dataonbrainmind.bsky.social)
@ualberta.bsky.social + Amii.ca Fellow! 🥳 Recruiting students to develop theories of cognition in natural & artificial systems 🤖💭🧠. Find me at #NeurIPS2025 workshops (speaking coginterp.github.io/neurips2025 & organising @dataonbrainmind.bsky.social)
It requires "no derivatives."
It requires "no derivatives."
**Differentiable Generalized Sliced Wasserstein Plans**
w/
L. Chapel
@rtavenar.bsky.social
We propose a Generalized Sliced Wasserstein method that provides an approximated transport plan and which admits a differentiable approximation.
arxiv.org/abs/2505.22049 1/5
😂
😂
📣 Call for: Findings (4- or 8-page) + Tutorials tracks
🎙️ Speakers include @dyamins.bsky.social @lauragwilliams.bsky.social @cpehlevan.bsky.social
🌐 Learn more: data-brain-mind.github.io
Our single submission got accepted 🥳
Will be on arxiv soon. It's a new sequence model and memory for robotics.
Our single submission got accepted 🥳
Will be on arxiv soon. It's a new sequence model and memory for robotics.
Given how hostile the current government is towards people from other countries, not sure I will be attending.
Given how hostile the current government is towards people from other countries, not sure I will be attending.
arxiv.org/pdf/2410.03972
It started from a question I kept running into:
When do RNNs trained on the same task converge/diverge in their solutions?
🧵⬇️
arxiv.org/pdf/2410.03972
It started from a question I kept running into:
When do RNNs trained on the same task converge/diverge in their solutions?
🧵⬇️
#neurips2025
#neurips2025
Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models.
www.biorxiv.org/content/10.1...
1/2
Feeling very grateful that reviewers and chairs appreciated concise mathematical explanations, in this age of big models.
www.biorxiv.org/content/10.1...
1/2
In this work, we introduce a multi-concept feature description framework that can identify and score polysemantic features.
📄 Paper: arxiv.org/abs/2506.15538
#NeurIPS #MechInterp #XAI
📣 Call for: Findings (4- or 8-page) + Tutorials tracks
🎙️ Speakers include @dyamins.bsky.social @lauragwilliams.bsky.social @cpehlevan.bsky.social
🌐 Learn more: data-brain-mind.github.io
📣 Call for: Findings (4- or 8-page) + Tutorials tracks
🎙️ Speakers include @dyamins.bsky.social @lauragwilliams.bsky.social @cpehlevan.bsky.social
🌐 Learn more: data-brain-mind.github.io
Yes, doing things well might be boring. But doing them badly is... bad
Yes, doing things well might be boring. But doing them badly is... bad
How can we interpret the algorithms and representations underlying complex behavior in deep learning models?
🌐 coginterp.github.io/neurips2025/
1/4
How can we interpret the algorithms and representations underlying complex behavior in deep learning models?
🌐 coginterp.github.io/neurips2025/
1/4
www.scholar-inbox.com/conference/n...
www.scholar-inbox.com/conference/n...
We invite short papers or interactive demos on AI for neural, physiological or behavioral data.
Submit by Aug 22 👉 brainbodyfm-workshop.github.io
We invite short papers or interactive demos on AI for neural, physiological or behavioral data.
Submit by Aug 22 👉 brainbodyfm-workshop.github.io
How do we build neural decoders that are:
⚡️ fast enough for real-time use
🎯 accurate across diverse tasks
🌍 generalizable to new sessions, subjects, and even species?
We present POSSM, a hybrid SSM architecture that optimizes for all three of these axes!
🧵1/7
1/n
1/n
Learning Theory for Kernel Bilevel Optimization
w/ @fareselkhoury.bsky.social E. Pauwels @michael-arbel.bsky.social
We provide generalization error bounds for bilevel optimization problems where the inner objective is minimized over a RKHS.
arxiv.org/abs/2502.08457
🧵⬇️ Our @alleninstitute.org #NeurIPS2025 paper shows heavy-tailed weights can strongly affect dynamics, trade off robustness + attractor dimension.
🧵⬇️ Our @alleninstitute.org #NeurIPS2025 paper shows heavy-tailed weights can strongly affect dynamics, trade off robustness + attractor dimension.