Equivariance

Graph Neural Networks for Learning Equivariant Representations of Neural Networks featured image

Parameter-Space Networks

Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Graph Neural Networks for Learning Equivariant Representations of Neural Networks

Miltiadis Kofinas*

• Jan 1, 2024 • 1 min read

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields featured image

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields

We discover global fields in interacting systems, inferring them from the dynamics alone, using neural fields.

Miltiadis Kofinas

• Sep 1, 2023 • 1 min read

Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks featured image

Parameter-Space Networks

Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks

Neural Networks Are Graphs! Graph Neural Networks for Equivariant Processing of Neural Networks

David W. Zhang

• Jul 1, 2023 • 1 min read

C-3PO: Towards Rotation Equivariant Feature Detection and Description featured image

C-3PO: Towards Rotation Equivariant Feature Detection and Description

Rotation equivariant feature detection-and-description based on steerable group convolutions

Piyush Bagad*

• Aug 1, 2022 • 1 min read

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems featured image

Graph Neural Networks

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems

Equivariance via canonicalized object-centric local frames in geometric graphs

Miltiadis Kofinas

• Oct 1, 2021 • 1 min read