Excited to announce the 9th #causality workshop at UAI 2024 with Razieh Nabi Karthika Mohan Caleb Miles Dan Malinsky 🎉

Do you have interesting work in #causality #causalInference #causalDiscovery #CRL etc?
Consider submitting an abstract by May 31st:
sites.google.com/view/causaluai…

Introducing our speakers for Causal and Object-centric Representations for Robotics (CORR) CVPR Workshop. We are so excited to have Sara Magliacane (Sara Magliacane (she/her)), Joao F. Henriques and Rares Ambrus (@RaresAmbrus) at our workshop!!
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📢 We are excited to introduce Thomas Kipf (Thomas Kipf), Animesh Garg (@animesh_garg), and Sungjin Ahn (@SungjinAhn_) as the first three speakers of the Causal and Object-Centric Representations for Robotics (CORR) CVPR workshop.

corrworkshop.github.io
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📢📢Excited to announce the 1st Causal &Object-Centric Representations for Robotics Full-day Workshop at @CVPRCall
Abstracts deadline 4/28
W. amazing Francesco Locatello Roozbeh Mottaghi Andrii Zadaianchuk @ ICLR 2024 🇺🇦 Phillip Lippe @ICLR2024 @Priyam8Parashar Siddharth Patki R.Desai
corrworkshop.github.io/submit.html

The teaching material by Phillip Lippe @ICLR2024 is outstanding! I keep finding myself looking things up again and again 🧑‍🔬

If you are out and about to get started with JAX and its parallelism power 👉 this is the place to go 🚀

Big shout out & thank you 🤗

If you want to learn what’s involved to scale deep learning models to large param counts, Phillips’s tutorial is amazing.

Easily the best tutorial on distributed training I've seen 🔥

Uses JAX/Flax and shows how to use the low-level communication primitives to teach the basic concepts, even if the compiler can do most of this for you I think it's super valuable to learn how things work.

Oh man, this is a tutorial that the community really needed. Especially people like me on the cusp of machine learning engineering. Unsung heroes….Thanks Phillip Lippe @ICLR2024 !

Seems exactly like the missing skills I was looking for! Excited to dive into it!

Awesome tutorial by Phillip Lippe @ICLR2024 to master training neural networks at scale using JAX with `shard_map`. There is a lot to learn here!
x.com/phillip_lippe/…

The amazing tutorials that explain how to train large models at scale 🔥🚀

Phillip Lippe will present them in a tutorial on March 11th, see the details at thedeepthinkinghour.github.io

Along with our new tutorials (uvadlc-notebooks.readthedocs.io/en/latest/tuto…), we organize a lecture on the topic! Feel free to join, also if you’re new to JAX