We present a principled approach to uncover the structure of visual data by solving a deep learning task coined visual permutation learning. The goal of this task is to find the permutation that ...

We will begin by discussing the differences between traditional statistical inference and feature importance to motivate the need for permutation feature importance. Then, we'll explain permutation ...

This repository contains the official code for the paper "Permutation Equivariance of Transformers and Its Applications" (CVPR 2024). We provide the code for validation experiments for the properties ...

A fundamental problem in interconnection network theory is to design permutation networks with as few cells as possible and a small programming or setup time. The well-known networks of Benes and ...

The Cartesian root-mean-square deviation (RMSD) of atomic coordinates is fundamental for comparing three-dimensional molecular structures, particularly in identifying and classifying molecular ...