It was my pleasure to give a guest lecture! I was a student in this class five years ago. The class has shaped my research path since then. Notes for myself: 1. Questions are not recorded if there is no microphone 2. My back hurts after two hours of standing

📢Call for paper for our RSS workshop Geometric and Algebraic Structure in Robot Learning 📍July 19th, 2024, Delft, Netherlands 🔗Details: sites.google.com/view/gas-rl-rs…

Every neuron is a Lie group (category). Lie Neurons (ICML'24), a conjugation equivariant neural network that models any semisimple Lie algebras. Same performance on training and test data in learning a 3D rotating rigid body from a single trajectory. arxiv.org/abs/2310.04521

We extended the workshop paper deadline to 06/17 AOE. Feel free to submit if you didn't catch! ✅ We also welcome volunteers for reviewing the workshop papers, even if you are an author! 🔖

I learned a lot and had an incredible time at the fascinating Equivariant Vision Workshop at #CVPR! Huge thanks to the amazing organizers Congyue Deng Kostas Daniilidis Yinshuang Xu Jiahui Lei and team for making it possible!

🤖New cool workshop in #IROS2024 on "Equivariant Robotics: The Role of #Symmetry Across #Perception, #Estimation, and #Control " . 🕸️ Check out our webpage: equirob2024.github.io for 1. An amazing line-up of speakers. 2. Submit your contributions by August 16. #AI #ML #Robots

I'll be presenting Lie Neurons at ICML Conference tomorrow (Wed) at Poster Session 4 (1:30 pm- 3:00 pm), Hall C #810. Come chat with me if you're also passionate about geometric deep learning or robotics! Paper: arxiv.org/abs/2310.04521 Code: github.com/UMich-CURLY/Li… #ICML2024

And we wrap GRaM Workshop at ICML 2024 with a social! Erik Bekkers Hannah Lawrence Oumar Kaba Alison Putri van der Linden Mona Schirmer Gabriele Cesa Julian Suk Guillermo Bernárdez Lev Telyatnikov and many many more!

In our recent IEEE RAS RAL paper, Chien Erh Lin & Minghan Zhu developed SE3ET: SE(3)-Equivariant Transformer for Low-Overlap Point Cloud Registration. Equivariant representation + Equivariant transformer -> Correspondences -> RANSAC pose registration.

We have released the YouTube recording of our #RSS2024 workshop on "Geometric and Algebraic Structure in Robot Learning"! 🎥Youtube: youtube.com/playlist?list=… 🏠Webpage: sites.google.com/view/gas-rl-rs…

I'm excited to share that I will defend my PhD dissertation, "Computational Symmetry and Learning for Generalizable Robot Perception," on Tuesday, December 3, at 3 PM EST! Zoom link and info:events.umich.edu/event/129461

I'm excited to share that I will be defending my PhD dissertation, “Multi-Modal Geometric Learning for Robot Localization,” on Tuesday, December 3, 11 am EST. Zoom link and info: sites.google.com/view/chien-erh…

Congrats to Chien Erh Lin for successfully defending her PhD thesis! Cynthia made significant contributions to geometric robot learning and localization. Her work on SE(3)-equivariant place recognition and transformer for low-overlap registration is incredibly forward-looking.

A big congrats to Tzu-Yuan Lin for defending a PhD last month: The work explores the incorporation of symmetric structures to develop efficient and generalizable perception algorithms for robotics. Watch: youtube.com/watch?v=iZPSY1…

Join us for the 2nd workshop on Equivariant Vision: From Theory to Practice #CVPR2025 on June 11, at Room 101C! Enjoy the exciting talks by Robin Walters Maani Ghaffari Taco Cohen Gabriele Cesa Prof. Tess Smidt Vincent Sitzmann Tommy Mitchel More details at: equivision.github.io