19 citations · 23 across the 7 of their papers we have counts for
7 papers
Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations
Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro
In this paper we discuss the results recently published in~[1] about algebraic signal models (ASMs) based on non commutative algebras and their use in convolutional neural networks…
Learning with Multigraph Convolutional Filters
Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
In this paper, we introduce a convolutional architecture to perform learning when information is supported on multigraphs. Exploiting algebraic signal processing (ASP), we propose…
Convolutional Learning on Multigraphs
Landon Butler, Alejandro Parada-Mayorga, Alejandro Ribeiro
Graph convolutional learning has led to many exciting discoveries in diverse areas. However, in some applications, traditional graphs are insufficient to capture the structure and…
Equitable Optimization of U.S. Airline Route Networks
Arnav Joshi, Andy Eskenazi, Landon Butler +1
Restructuring route networks (i.e., modifying the graph of origin-destination pairs) remains a promising alternative for reducing the airline industry's environmental impact. Howev…
Democratizing Aviation Emissions Estimation: Development of an Open-Source, Data-Driven Methodology
Andy Eskenazi, Landon Butler, Arnav Joshi +1
Through an aviation emissions estimation tool that is both publicly-accessible and comprehensive, researchers, planners, and community advocates can help shape a more sustainable a…
Convolutional Filtering and Neural Networks with Non Commutative Algebras
Alejandro Parada-Mayorga, Landon Butler, Alejandro Ribeiro
In this paper we introduce and study the algebraic generalization of non commutative convolutional neural networks. We leverage the theory of algebraic signal processing to model c…
Learning Connectivity for Data Distribution in Robot Teams
Ekaterina Tolstaya, Landon Butler, Daniel Mox +3
Many algorithms for control of multi-robot teams operate under the assumption that low-latency, global state information necessary to coordinate agent actions can readily be dissem…