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Many thanks to the GRaM Workshop at ICML 2024 organizers for making it possible as well as Erik Bekkers for this amazing #UniversityofAmsterdam representation! 👏

Here's Yoav receiving the award 🌟from Erik Bekkers

Sharvaree Vadgama GRaM Workshop at ICML 2024 Meng Song ICML Conference Thank you Sharvaree Vadgama and the GRaM Workshop at ICML 2024 team for an incredible workshop!

GRaM Workshop at ICML 2024 Best paper award 🎉🥳🏆

Thrilled and honored to receive the Outstanding Paper Award GRaM Workshop at ICML 2024 #ICML2024 for our SE(3)-Hyena paper arxiv.org/abs/2407.01049. Huge thanks to my co-author Artem Moskalev 🕊️ and everyone who supported our work. Excited to see where this research leads next! #OutstandingPaper

Thrilled to receive the outstanding paper award together with Mangal Prakash for our work on SE(3)-Hyena arxiv.org/abs/2407.01049 !🤘 Go long-convolutions!

I am happy to introduce our work "Adaptive Sampling for Continuous Group Equivariant Neural Networks" with Gabriele Cesa : openreview.net/forum?id=fZNgs… Excited to have received the Best Paper Runner-up award at the GRaM Workshop at ICML 2024 !  #ICML2024 Here is a brief summary (1/4)

I'm also excited to share that our work has been accepted for an oral presentation. Huge thanks to the GRaM Workshop at ICML 2024 organizers for this recognition and the opportunity to present our work! (4/4)

Very proud of my student Berfin İnal. Her thesis received the best paper runner-up award at the GRaM Workshop at ICML 2024 at #ICML24 Check the paper if you are interested in continuous equivariance and steerable networks

Very happy that our work received the Best Paper Runner-up Award at the GRaM Workshop at ICML 2024! Huge thanks to the organizers, especially Sharvaree Vadgama, for organizing this amazing workshop. And congrats to all my co-authors Nicholas Gao, Johanna Sommer, Tom Wollschläger, Stephan Günnemann. #ICML2024

I am very excited about the 🌟NeurReps Global Talk series 🌟—another great initiative by NeurReps Team🥳 East Coast folks, do join in-person!

Very relevant workshop for ✨ GRaM Workshop at ICML 2024 audience! ✨

🚀Introducing — Meta Flow Matching (MFM) 🚀 Imagine predicting patient-specific treatment responses for unseen cases or building generative models that adapt across different measures. MFM makes this a reality. 📰Paper: arxiv.org/abs/2408.14608 💻Code: github.com/lazaratan/meta…

The workshop was successfully organised by Sharvaree Vadgama Erik Bekkers Jakub Tomczak Alison Pouplin, Robin Walters, Hannah Lawrence, Sékou-Oumar Kaba, Tegan Emerson, Henry Kvinge , and Stefanie Jegelka

Thank you ELLIS Amsterdam for featuring #GRaM workshop that happened earlier this year at #ICML2024 in Vienna. I had a lot of fun organizing this workshop alongside my wonderful advisors Erik Bekkers Jakub Tomczak and with an incredible team. This wouldn't have been possible

GRaM Workshop at ICML 2024 featured in ELLIS Amsterdam !

Great discussion, Chaitanya K. Joshi! We also explored this with extensive experiments in our recent paper: arxiv.org/abs/2501.01999. We find, among others, that equiv mods in a sense scale even better than non-equiv ones. Going more or less completely against the vibes from your post😅1/5

Here horizontal axis is train time: on an exactly equal computate budget, equiv models greatly outperform non-equiv ones. Scale all you want 😉(we tried!), the performance gap just could not be closed🤷‍♂️. Even on non-equivariant tasks equivariant models performed favorably. 2/5

I deeply appreciate Chaitanya K. Joshi's work & keeping this discussion going! Valuable to keep us sharp+avoid dogma. Tho, I'm a lost soul, 'equivariance extremist'😅. Admittingly, I do opt for simplicity over equivariance at times🙈, but my vision: they aren't mutually exclusive! 5/5