@cebraAI
🧠 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/2606.13260View quoted post on X
github.com Release v0.5.0rc1 · AdaptiveMotorControlLab/CEBRA What's Changed Fix pandas intersphinx mapping; fix test setup by @stes in #136 Implementation for discrete multisession by @introspective-swallow in #135 Update imports in pivae from keras to ... 
www.nature.com SuperAnimal pretrained pose estimation models for behavioral analysis Nature Communications - Quantifying animal behavior is crucial in various fields such as neuroscience and ecology, yet we lack data-efficient methods to perform behavioral quantification. Here, the... #SfN24 update: sadly, we are not there in person, but we love to see a lot of #DeepLabCut powered science is 🥳 and we are happy to retweet it! 💕 (tag us!)
👀 But, here is what we would present 🥰🔥 DeepLabCut 3.0 release candidate is up!🔥
pip install deeplabcut==3.0.0rc5View quoted post on X
I have been reviewing the CEBRA paper in depth. What really strikes me is the multi-sessions/animal embedding. I feel like this paper is only scratching the surface of what could be done there. For starter, we could embed across species or even between models and experiments.View quoted post on X
