Amortized Equation Discovery in Hybrid Dynamical Systems
Amortized Equation Discovery in Hybrid Dynamical Systems
Yongtuo Liu
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1 min read
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
Graph Neural Networks for Learning Equivariant Representations of Neural Networks
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Samuele Papa
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.
C-3PO: Towards Rotation Equivariant Feature Detection and Description
Rotation equivariant feature detection-and-description based on steerable group convolutions
Piyush Bagad*
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Equivariance via canonicalized object-centric local frames in geometric graphs