Mackenzie Weygandt Mathis, PhD

merging adaptive motor control & machine learning | Prof @EPFL | 🐭@deeplabcut 🦓@cebraAI | @ELLISforEurope Scholar | @Harvard Alum |

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🦓 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.

📝 https://t.co/VmrRfy5V9B
💻https://t.co/RsnRWqkbGs
🦓 https://t.co/zgxSGtOpav
🧵⬇️

[James Whittington @jcrwhittington]

We’re excited to announce DiG-bench, a new benchmark for discovery!

Over the last few weeks we’ve been testing frontier AI models on our novel discovery games and seeing how they score. Each game is a text-based environment, so they probe discovery capabilities in the natural domain of language models, rather than requiring additional, potentially confounding, visual understanding.

TL;DR frontier models have improved a lot over the last few months. But they are still stumped by some surprisingly simple problems, even in their native text domain.

With

@cocosci_lab (@Princeton) @MITCoCoSci (@MIT) @SchmidhuberAI (@KAUST_News) @misovalko (@Inria) @tri_dao (@PrincetonCS) @RMBattleday @zebkDotCom @FraserGreenlee @akaijsa @ClareMaguire @TimMuller1 @kubicek_ales @physicscat0x7d @SukritSumant @thoughtchannel_

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[Karl Deisseroth @KarlDeisseroth]

Thanks to everyone sharing in this moment!
I’m so grateful to my trainees & collaborators…
https://t.co/6JdZQHnYJf
(pic: optogenetics conference chairs, Tuscany)

Reading for all those asking:

for technical details: https://t.co/x7kQvPujvq

for everyone: https://t.co/1omhw0hKAV

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

Now accepted at #Neurips 🙌💗🔥🫶

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🧠 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

📄https://t.co/gFCj7JCxMX

[Adrian Roggenbach @a_roggenbach]

⚠️PREPRINT ALERT⚠️

How can we better understand distributed brain activity across temporal and spatial scales?

In this collaborative project, we combined ultra-flexible electrodes with two-photon imaging to illuminate brain-wide neural dynamics.

https://t.co/IfC3OLhL2y

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[DeepLabCut 🦄 @DeepLabCut]

🎂🥳 Wow! Happy 9 year anniversary of being published in @NatureNeuro #DeepLabCut 💜 - what an amazing adventure that first paper kicked off 🙏🏼 1.14M installations 💪

Original paper: https://t.co/J4G7ZPkIxD

[Laura Driscoll @lndriscoll]

Confused about all this talk of compositionality in neuroscience? Read our new perspective https://t.co/mpdqcAHHTZ with authors Reidar Riveland and @pouget_alex.

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

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 - 💰by the Brain Initiative @NIH! Led by @celia_bqt & @sainsbury_tom

@CurrentBiology

https://t.co/xFnDhnHUOl?

[Demis Hassabis @demishassabis]

https://t.co/PTeDiv1b6L

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🧠 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

📄https://t.co/gFCj7JCxMX

[allen institute @AllenInstitute]

#OnThisDay in 2016, we launched the Allen Brain Observatory with the first standardized in vivo survey of physiological activity in the mouse visual cortex. Since its launch, the Observatory and its data has been critical to visual cortex research around the world.

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

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 - 💰by the Brain Initiative @NIH! Led by @celia_bqt & @sainsbury_tom

@CurrentBiology

https://t.co/xFnDhnHUOl?

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

@OriolRibera Rather than PCA We use CEBRA as the base, which is a time-series method nonlinear ICA: https://t.co/wc70h4SgMS

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🧠 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

📄https://t.co/gFCj7JCxMX

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

@EliSennesh X character limited post ; )

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🥳 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 🙏

➡️ https://t.co/jvs6EGUMXR

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

@pjreddie Horrendous :/

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

Also, please check out our @huggingface demo: https://t.co/zEtffbDjFa

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

🥳 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 😎

We introduce *PRIMA*:🔥SOTA 2D➡️3D animal shape by @xiaoyu912huang, @TiwangCS & I!

📝 https://t.co/s7sA0Lup2S

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

This nicely builds on top of our #SuperAnimal quadruped model (read more here: https://t.co/N7UJj8szm4 such that you can directly run shape inference with our pipeline!

[Mackenzie Weygandt Mathis, PhD @TrackingActions]

Brilliant talk by @TonyZador kicking off the #NeuroAI session at @CSHL 90th anniversary symposium