Merging artificial and natural intelligence to study adaptive mechanisms | CV, ML, Neuro | PI: @trackingactions
@EPFL π¨π
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π¦π¦π¦ #CEBRA is out πππ
Check out the @Nature paper β¬οΈ & the gorgeous code & resources built by current members @stes_io @BenquetCelia @TrackingActions
@EPFL_en @epflSV
π how to use: cebra.ai/docs/usage.html
π» install: cebra.ai/docs/installation.hβ¦
πnature.com/articles/s41586-0β¦
π¦ Self-supervised multimodal ML is promising the next AI breakthrough - in our new work published in @Nature, we debut @CEBRAai: for self-supervised hypothesis- and discovery-driven science.
π doi.org/10.1038/s41586-023-0β¦
π»github.com/AdaptiveMotorContβ¦
π¦ cebra.ai/
π§΅β¬οΈ
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Now accepted at #Neurips πππ₯π«Ά
π§ Can we recover the equations governing a system directly from noisy, high-dimensional observations?
#DYSCO, by Paolo Muratore, is a first step: it learns latent spaces that capture the underlying dynamics & enables recovery of governing equations
πarxiv.org/abs/2606.13260
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ππ₯³ Wow! Happy 9 year anniversary of being published in @NatureNeuro #DeepLabCut π - what an amazing adventure that first paper kicked off ππΌ 1.14M installations πͺ
Original paper: rdcu.be/4Rep
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Mice perform active sensing to acquire visual info: check out our collaborative effort, which is our 1st in motor+vision!
Great to work with @AToliasLab Xaq and Cris - π°by the Brain Initiative @NIH! Led by @celia_bqt & @sainsbury_tom
@CurrentBiology
cell.com/current-biology/ful�
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π§ Can we recover the equations governing a system directly from noisy, high-dimensional observations?
#DYSCO, by Paolo Muratore, is a first step: it learns latent spaces that capture the underlying dynamics & enables recovery of governing equations
πarxiv.org/abs/2606.13260
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Online now: The Simons Collaboration on Ecological Neuroscience: Studying how the brain interacts with the world dlvr.it/TSyBZX
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π₯³ Excited that our Perspective about our new @SimonsFdn Collaboration: SCENE is out in @NeuroCellPress !
A great team effort across all the PIs, championed by @lengyel_m and @JP__NOEL π
β‘οΈ cell.com/neuron/fulltext/S08β¦
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Interested in how we estimate 3D poses for humans and animals using flow matching?
Come check out our work, #FMPose3D, at CVPR 2026!
Today at the CV4Animals Workshop poster session:
11:30 a.m.β12:30 p.m., ExHall A
Looking forward to seeing you there! π
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π₯³ New work from my lab (@MLabofAI) just dropped on @arxiv! Measuring the shape of an animal can be highly useful for biomedical applications and for avatars π
We introduce *PRIMA*:π₯SOTA 2Dβ‘οΈ3D animal shape by @xiaoyu912huang, @TiwangCS & I!
π arxiv.org/abs/2606.02366
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π¨ β¨ New 3D pose estimation method from @mwmathislab! #FMPose3D allows for monocular (i.e. single camera) 2D β‘οΈ 3D π₯
Led by @TiwangCS & w/@xiaoyu912huang #FMPose3D is SOTA on human & animal 3D benchmarks, & will be integrated into @DeepLabCut β¬οΈπ
π arxiv.org/abs/2602.05755
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π¨ β¨ New 3D pose estimation method from @mwmathislab! #FMPose3D allows for monocular (i.e. single camera) 2D β‘οΈ 3D π₯
Led by @TiwangCS & w/@xiaoyu912huang #FMPose3D is SOTA on human & animal 3D benchmarks, & will be integrated into @DeepLabCut β¬οΈπ
π arxiv.org/abs/2602.05755
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π Finding clinical trials & knowing which are useful is an overwhelming task, even if you know where to start!
I worked on a simple @Gradio app for parsing clinical trials+ adding a #DeepSeek model to rank trials + user Q&A. I hope its useful to many:
clinicaltrialmatcher.org
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π» reID of unmarked Grizzly's in Alaskan wilderness from single images is a daunting task, but in our new work out in @CurrentBiology that is exactly what Beth Rosenberg & Mu Zhou & @TrackingPlumes! π₯ Check out the work - many years in the making...
sciencedirect.com/science/arβ¦
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π₯πΎ massive congratulations to @shaokaiyeah and Haozhe Qi for #LLaVAction to be accepted to #ICLR2026!
TL;DR the first MMLLM for action understanding, + a new benchmark, + methods to train your MMLLMs for such tasks πΊπ»ππΌ
π» llavaction.epfl.ch/
π arxiv.org/abs/2503.18712
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π¨ Looking for a primer on the latest advances in joint neural-behavioral modeling?
π€© Check out our new Nature Reviews Neuroscience piece! It was really an honor to write this π«Ά
nature.com/articles/s41583-0β¦
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Nature Neuroscience
Leveraging insights from neuroscience to build adaptive artificial intelligence
nature.com/articles/s41593-0β¦
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π How can we use new neuroscience insights to build *adaptive* AI agents and leverage the many foundation models ( which are much like different brain areas)?
Check out my pitch in @NatureNeuro in the Jan 2026 issue π β¬οΈ
nature.com/articles/s41593-0β¦
#AIagents #neuroscience #AGI
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Delighted to have my perspective on how we can leverage the latest insights from neuroscience to build adaptive AI agents out in @NatureNeuro π€π
π nature.com/articles/s41593-0β¦
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Interested in the latest advances in neuroscience (neural dynamics and internal models) and how they can be leveraged to build smarter, adaptive AI?
β‘οΈ My first real solo piece π€π«Ά @NatureNeuro
rdcu.be/eWVmA
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The 2025 lab swag / holiday kit! π«π·π§ββοΈ- happy holidays everyone!
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The Swiss Laboratory Animal Science Association awarded on Wednesday its 2025 Prize to neuroscientist Mackenzie Mathis, Professor at EPFL, βfor her outstanding contribution to the refinement of animal research.βΒ
go.epfl.ch/6689f9
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