Abstract: This article considers a noisy data structure recovery problem. The goal is to investigate the following question: given a noisy observation of a permuted data set, according to which ...

Rajeev Dhir is a writer with 10+ years of experience as a journalist with a background in broadcast, print, and digital newsrooms. Khadija Khartit is a strategy, investment, and funding expert, and an ...

Tests based on the permutation of observations are a common and attractive method of comparing two groups of outcomes, in part because they retain proper test size with minimal assumptions and can ...

This repository contains an implementation based on the research presented in the paper by Pearce-Crump (2023): "Connecting Permutation Equivariant Neural Networks and Partition Diagrams". The core ...