Our work "Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance" is available on arxiv.org/abs/2306.02866, with code in github.com/jw9730/lps, and will appear at #NeurIPS2023 as a spotlight presentation. A quick overview follows...
Happy to share that our work titled "Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance" (arxiv.org/abs/2306.02866) is accepted as a spotlight paper at #NeurIPS2023.
This is the first work that I contributed, thus I’m happy to start with good results.
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