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Stephane Deny

@stphtphsn.bsky.social
351 followers 774 following 39 posts

Assistant Professor at Aalto. Neuro - ML scholar.google.com/citations?hl=fr&…

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Stephane Deny @stphtphsn.bsky.social · 18/12/2025
New preprint! "A Deep Learning Model of Mental Rotation Informed by Interactive VR Experiments" 🔗 arxiv.org/abs/2512.13517 by Raymond Khazoum, Daniela Fernandes, Aleksandr Krylov, Qin Li and myself
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Stephane Deny @stphtphsn.bsky.social · 08/11/2025
🔥 Technical blog post (with maths and code) on how to render 4D objects, by Raihan Gafur 🔥 🔗 raihanthecooldude.com/spaceland-ep...
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Olivier Marre @oliviermarre.bsky.social · 25/10/2025
Happy to share my first work with a connection to myopia, a collaboration with EssilorLuxottica www.science.org/doi/10.1126/...
science.org
Nonlinear spatial integration allows the retina to detect the sign of defocus in natural scenes
The retina can easily detect whether the eye is too small or too big thanks to the imperfections of the eye optics.
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Tahereh Toosi @taherehtoosi.bsky.social · 24/10/2025
How does our brain excel at complex object recognition, yet get fooled by simple illusory contours? What unifying principle governs all Gestalt laws of perceptual organization? We may have an answer: integration of learned priors through feedback. New paper with @kenmiller.bsky.social! 🧵
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Stephane Deny @stphtphsn.bsky.social · 16/10/2025
🔥 "The Perception and Learning of 4D Object Geometry in Humans and Machines" 🔥 Master thesis work by Raihan Gafur. Check out his awesome blog post series! raihanthecooldude.com/spaceland-ep...
raihanthecooldude.com
Spaceland – Ep. 01 – When the Brain Meets the Fourth Dimension: Exploring Mental Rotation in 4D Objects – Raihan Gafur
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Yipeng Li @moonliyp.bsky.social · 11/05/2025
(1/6) Thrilled to share our triple-N dataset (Non-human Primate Neural Responses to Natural Scenes)! It captures thousands of high-level visual neuron responses in macaques to natural scenes using #Neuropixels.
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Jonathan Kadmon @kadmonj.bsky.social · 23/03/2025
(1/6) Excited to share a new preprint from our lab! Can large, deep nonlinear neural networks trained with indirect, low-dimensional error signals compete with full-fledged backpropagation? Tl;dr: Yes! arxiv.org/abs/2502.20580.
arxiv.org
Training Large Neural Networks With Low-Dimensional Error Feedback
Training deep neural networks typically relies on backpropagating high dimensional error signals a computationally intensive process with little evidence supporting its implementation in the brain. Ho...
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Dan Goodman @neural-reckoning.org · 18/03/2025
This is great stuff!
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TMLR Published Papers @tmlr-pub.bsky.social · 13/02/2025
A comparison between humans and AI at recognizing objects in unusual poses Netta Ollikka, Amro Kamal Mohamed Abbas, Andrea Perin, Markku Kilpeläinen, Stephane Deny Action editor: Andrew Lampinen openreview.net/forum?id=yzbAFf8vd5 #poses #recognition #recognizing
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Stephane Deny @stphtphsn.bsky.social · 09/02/2025
hmm, thanks gpt, that's very clear now what a MRAC is
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Stephane Deny @stphtphsn.bsky.social · 14/01/2025
New Preprint: "On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory" by Andrea Perin and myself. Retweets of this post or the thread below are highly appreciated! Follow @zazzarazzaz.bsky.social for future updates on this line of work.
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Kameron Decker Harris @kamdh.bsky.social · 14/01/2025
Interesting work on symmetries and learning!
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Friedemann Zenke @fzenke.bsky.social · 14/01/2025
Now published in @elife.bsky.social doi.org/10.7554/eLif... a fun collaboration with @clairemb90.bsky.social and Rainer Friedrich
doi.org
Geometry and dynamics of representations in a precisely balanced memory network related to olfactory cortex
Computational modeling revealed that balanced assemblies of excitatory and inhibitory neurons shape representational manifolds in olfactory cortex-like recurrent networks, resulting in joint maps of s...
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Thùy Vy T Nguyễn @thuyvytnguyen.bsky.social · 14/01/2025
I did my PhD with Ed Deci, who usually says very few words. In our meetings, it was his reserved nature that gradually allowed me to come out of my shell, be my own person. That experience teaches me one valuable lesson now that I mentor others: know when to shut up.
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Stephane Deny @stphtphsn.bsky.social · 14/01/2025
New Preprint: "On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory" by Andrea Perin and myself. Retweets of this post or the thread below are highly appreciated! Follow @zazzarazzaz.bsky.social for future updates on this line of work.
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Andrea Perin @zazzarazzaz.bsky.social · 14/01/2025
Little is known about how deep networks interact with structure in data. An important aspect of this structure is symmetry (e.g., pose transformations). Here, we (w/ @stphtphsn.bsky.social) study the generalization ability of deep networks on symmetric datasets: arxiv.org/abs/2412.11521 (1/n)
arxiv.org
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
Symmetries (transformations by group actions) are present in many datasets, and leveraging them holds significant promise for improving predictions in machine learning. In this work, we aim to underst...
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Guillaume Bellec @bellecguill.bsky.social · 08/01/2025
Pre-print 🧠🧪 Is mechanism modeling dead in the AI era? ML models trained to predict neural activity fail to generalize to unseen opto perturbations. But mechanism modeling can solve that. We say "perturbation testing" is the right way to evaluate mechanisms in data-constrained models 1/8
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Mark D Humphries @markdhumphries.bsky.social · 30/12/2024
Cutting it a bit fine, but here’s my review of the year in neuroscience for 2024 The eighth of these, would you believe? We’ve got dark neurons, tiny monkeys, the most complete brain wiring diagram ever constructed, and much more… Published on The Spike Enjoy! medium.com/the-spike/20...
medium.com
2024: A Review of the Year in Neuroscience
Feeling a bit wired
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Tomer Ullman @tomerullman.bsky.social · 01/12/2024
thinking of calling this "The Illusion Illusion" (more examples below)
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Eero Simoncelli @eerosim.bsky.social · 26/11/2024
The Center for Neural Science at NYU is aiming to add another computational neuroscientist to our community: apply.interfolio.com/157767 Come join us! Deadline 31 Dec 2024
apply.interfolio.com
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