Sharvaree Vadgama

Platonic Transformers: A Solid Choice for Equivariance

Grounding Continuous Representations in Geometry: Equivariant Neural Fields

Probing Equivariance and Symmetry Breaking in Convolutional Networks

Controlled Generation with Equivariant Variational Flow Matching

On the Importance of Embedding Norms in Self-Supervised Learning

On the utility of Equivariance and Symmetry Breaking in Deep learning architectures on point clouds

DC3DO: Diffusion Classifier for 3D Objects