Search Results for author:
Found 4 papers, 0 papers with code
Structural Risk Minimization for Learning Nonlinear Dynamics
We empirically show that even though too loose to be used as absolute estimates, our SRM bounds on the true prediction error are able to track its relative behavior across different model classes of the hierarchy.
Graph Neural Networks for Multi-Robot Active Information Acquisition
This paper addresses the Multi-Robot Active Information Acquisition (AIA) problem, where a team of mobile robots, communicating through an underlying graph, estimates a hidden state expressing a phenomenon of interest.
SE(3)-Equivariant Attention Networks for Shape Reconstruction in Function Space
In contrast to previous shape reconstruction methods that align the input to a regular grid, we operate directly on the irregular point cloud.
Learning Augmentation Distributions using Transformed Risk Minimization
We propose a new \emph{Transformed Risk Minimization} (TRM) framework as an extension of classical risk minimization.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
