
Hannah Lawrence
@hlawrencecs
PhD @ MIT CSAIL. Geometric deep learning, especially learning with symmetries (equivariance). hannahlawrence.github.io. Cofounder @bostonsymmetry.
ID: 1379953525392822276
08-04-2021 00:25:46
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🧵 Our geometric GRaM Workshop at ICML 2024 workshop has released the accepted blog posts and tutorials! Theory can be hard to digest, and educational materials are scarce. We are impressed by the students' work! gram-blogposts.github.io Some of my favorites ⬇️



Seems like #ICML2024 understimated people's interested in geometric deep learning. So we had to make the GRaM Workshop at ICML 2024 workshop overflow in the corridors to manage the great turnaround! 🙌🏾


What a terrific first session of the GRaM Workshop at ICML 2024 workshop ICML Conference ! The speakers, posters, and organization have been awesome and there’s more to come! Please join us to kick off the afternoon session with an engaging panel at 2:00pm! Sharvaree Vadgama Hannah Lawrence Erik Bekkers

The #GRaM panel discussion on scale vs geometric modeling has begun! Great to have Rianne van den Berg , Joey Bose , Phillip Isola , Zahra Kadkhodaie , and Max Welling weighing in on this timely topic, moderated by Erik Bekkers


GRaM Workshop at ICML 2024 was definitely the highlight of ICML for me! Thank you Sharvaree Vadgama ✈️ @ICML 2025 Oumar Kaba Hannah Lawrence Erik Bekkers for the great organization 🤗








Happy to have presented this work with Hannah Lawrence @ PetExpo Vasco Portilheiro and Yan! Thanks to those who came! Check out the paper to learn about the link between symmetry breaking, equivariant distributions and positional encodings (+experiments on Ising models) arxiv.org/abs/2503.21985
