publications

Selected publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Terminal-Bench: A Benchmark for AI Agents in Terminal Environments
    The Terminal-Bench Team
    Apr 2025
    Code Website
  2. Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification
    Jon Saad-Falcon*, E. Kelly Buchanan*, Mayee F. Chen*, and 9 more authors
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, Apr 2025
    HTML Blog Code
  3. A Unifying Framework for Parallelizing Sequential Models with Linear Dynamical Systems
    Xavier Gonzalez*, E. Kelly Buchanan*, Hyun Dong Lee, and 5 more authors
    Apr 2025
    HTML
  4. An Architecture Search Framework for Inference-Time Techniques
    Jon Saad-Falcon, Adrian Gamarra Lafuente, Shlok Natarajan, and 8 more authors
    In Forty-second International Conference on Machine Learning, Apr 2025
    HTML

2024

  1. Pathologies of Predictive Diversity in Deep Ensembles
    Taiga Abe, E. Kelly Buchanan, Geoff Pleiss, and 1 more author
    Transactions on Machine Learning Research, Apr 2024
    Featured Certification

2022

  1. Deep Ensembles Work, But Are They Necessary?
    Taiga Abe*, E. Kelly Buchanan*, Geoff Pleiss, and 2 more authors
    In Advances in Neural Information Processing Systems, Apr 2022
  2. Plex: Towards Reliability using Pretrained Large Model Extensions
    Dustin Tran, Jeremiah Liu, Michael W. Dusenberry, and 23 more authors
    Apr 2022
    Spotlight Presentation
    HTML Blog Code

2020

  1. Deep Graph Pose: a semi-supervised deep graphical model for improved animal pose tracking
    Anqi Wu*, E. Kelly Buchanan*, Matthew Whiteway, and 14 more authors
    In Advances in Neural Information Processing Systems, Apr 2020

2018

  1. Penalized matrix decomposition for denoising, compression, and improved demixing of functional imaging data
    E. Kelly Buchanan*, Ian Kinsella*, Ding Zhou*, and 8 more authors
    BioRxiv, Apr 2018