merging adaptive motor control & machine learning | Prof @EPFL | 🐭@deeplabcut 🦓@cebraAI | @ELLISforEurope Scholar | @Harvard Alum | https://xitter.cf/t.co/FakcYoDAC3

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Joined February 2011
🦓 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. 📝 doi.org/10.1038/s41586-023-0… 💻github.com/AdaptiveMotorCont… 🦓 cebra.ai/ 🧵⬇️
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Mackenzie Weygandt Mathis, PhD retweeted
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_ (1/5)
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Mackenzie Weygandt Mathis, PhD retweeted
Thanks to everyone sharing in this moment! I’m so grateful to my trainees & collaborators… dlab.stanford.edu/group-memb… (pic: optogenetics conference chairs, Tuscany) Reading for all those asking: for technical details: dlab.stanford.edu for everyone: deisseroth.org/projections
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Now accepted at #Neurips 🙌💗🔥🫶
🧠 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 📄arxiv.org/abs/2606.13260
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Mackenzie Weygandt Mathis, PhD retweeted
⚠️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. doi.org/10.21203/rs.3.rs-102… 1/8
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Mackenzie Weygandt Mathis, PhD retweeted
🎂🥳 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: rdcu.be/4Rep
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Mackenzie Weygandt Mathis, PhD retweeted
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 cell.com/current-biology/ful…?
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Mackenzie Weygandt Mathis, PhD retweeted
🧠 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 📄arxiv.org/abs/2606.13260
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Mackenzie Weygandt Mathis, PhD retweeted
#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.
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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 - 💰by the Brain Initiative @NIH! Led by @celia_bqt & @sainsbury_tom @CurrentBiology cell.com/current-biology/ful…?
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🧠 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 📄arxiv.org/abs/2606.13260
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🥳 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 🙏 ➡️ cell.com/neuron/fulltext/S08…
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Brilliant talk by @TonyZador kicking off the #NeuroAI session at @CSHL 90th anniversary symposium
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Thrilled to share that I’ve been promoted to Associate Professor with tenure at @EPFL! 🎉 Deeply grateful to my incredible lab, collaborators, and mentors who’ve made this journey possible. Excited for what’s ahead! 🧠✨
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Mackenzie Weygandt Mathis, PhD retweeted
Nature research paper: Prefrontal to ventral tegmental area dynamics drive contingency degradation go.nature.com/4wbtWwx
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At #ICLR2026 Please check out our work #LlaVAction: By co-first aurhors @shaokaiyeah and Haozhe Qi TL;DR the first multi-modal LLM for action understanding and video captioning+ a new benchmark, + methods to train your MMLLMs for such tasks 🕺🏻💃🏼 💻 llavaction.epfl.ch 💙
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