Scholar
Landon Butler
Google Scholar ID: ldjHUeEAAAAJ
EECS Ph.D. student, University of California, Berkeley
Citations & Impact
Citations
95
H-index
7
i10-index
4
Publications
11
Co-authors
0
Contact
Publications
Resume
Academic Achievements
- ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs (NeurIPS, 2025)
- SPEX: Scaling Feature Interaction Explanations for LLMs (ICML, 2025)
- Learning to Understand: Identifying Interactions via the Möbius Transform (NeurIPS, 2024)
- Convolutional Learning on Multigraphs (IEEE Transactions on Signal Processing, 2023; ICASSP, 2023)
- Convolutional Filtering and Neural Networks with Non-Commutative Algebras (IEEE Transactions on Signal Processing, 2023; ICASSP, 2024)
- Equitable Optimization of U.S. Airline Route Networks (Computers, Environment and Urban Systems, 2023; Andrew P. Sage Memorial Conference, 2022) - Best Paper Award in Climate and Transportation (Sage)
- Democratizing Aviation Emissions Estimation: Development of an Open-Source, Data-Driven Methodology (ICRAT, 2022) - Best Paper Award in Economics, Policy, and Equity
- Learning Connectivity for Data Distribution in Robot Teams (IROS, 2021)
Research Experience
- Interned with Apple and Uber AI.
Education
- Ph.D. student in EECS at University of California, Berkeley, advised by Kannan Ramchandran.
Background
- Research focuses on developing trustworthy machine learning, emphasizing methods that interpret and explain the complex decision-making processes of foundation models, using techniques from signal processing and game theory.