Learning Connectivity for Data Distribution in Robot Teams. - Ekaterina I. Tolstaya; Landon Butler; Daniel Mox; James Paulos; Vijay Kumar 001; Alejandro Ribeiro (IROS, 2021)

Democratizing Aviation Emissions Estimation: Development of an Open-Source, Data-Driven Methodology. - Andy Eskenazi; Landon Butler; Arnav P. Joshi; Megan Smirti Ryerson (CoRR, 2022)

Equitable Optimization of U.S. Airline Route Networks. - Arnav P. Joshi; Andy Eskenazi; Landon Butler; Megan S. Ryerson (CoRR, 2022)

Learning with Multigraph Convolutional Filters. - Landon Butler; Alejandro Parada-Mayorga; Alejandro Ribeiro (ICASSP, 2023)

Convolutional Learning on Multigraphs. - Landon Butler; Alejandro Parada-Mayorga; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

Convolutional Filters and Neural Networks With Noncommutative Algebras. - Alejandro Parada-Mayorga; Landon Butler; Alejandro Ribeiro (IEEE Trans. Signal Process., 2023)

Equitable optimization of US airline route networks. - Andy G. Eskenazi; Arnav P. Joshi; Landon G. Butler; Megan S. Ryerson (Comput. Environ. Urban Syst., 2023)

Non Commutative Convolutional Signal Models in Neural Networks: Stability to Small Deformations. - Alejandro Parada-Mayorga; Landon Butler; Alejandro Ribeiro (ICASSP, 2024)

Learning to Understand: Identifying Interactions via the Möbius Transform. - Justin Singh Kang; Yigit Efe Erginbas; Landon Butler; Ramtin Pedarsani; Kannan Ramchandran (NeurIPS, 2024)

SPEX: Scaling Feature Interaction Explanations for LLMs. - Justin Singh Kang; Landon Butler; Abhineet Agarwal; Yigit Efe Erginbas; Ramtin Pedarsani; Kannan Ramchandran; Bin Yu 001 (CoRR, 2025)

ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs. - Landon Butler; Abhineet Agarwal; Justin Singh Kang; Yigit Efe Erginbas; Bin Yu 001; Kannan Ramchandran (CoRR, 2025)