Are equivariant architectures worth it for guaranteeing 3D-rotational symmetry when modeling proteins?
We study this in *Training Dynamics of Learning 3D-Rotational Equivariance* (Oral at NeurIPS AI4Science '25, accepted at TMLR)
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Check out our poster and oral presentation at NeurIPS AI4Science, and I'd be happy to chat!
I am a researcher in Frontiers Research in Prescient Design, Genentech with @kchonyc and we may be hiring soon!
@SsbmGinger@stocmoney I can attest fro is a real person lol. At MIT around 2016 I was better than fro ybot and unlucky. Fro got insanely better after slippi came out and last I heard he's in NYC
New blog post - https://t.co/gLSKJdDYcP. A unifying and simple concept - iteratively refining high dimensional output seems to work surprisingly well in practice