Interactive Object Segmentation with Noisy Binary Inputs. - Gregory Canal; Sivabalan Manivasagam; Shaoheng Liang; Christopher J. Rozell (GlobalSIP, 2018)

Joint Estimation of Trajectory and Dynamics from Paired Comparisons. - Gregory H. Canal; Matthew R. O'Shaughnessy; Christopher J. Rozell; Mark A. Davenport (CAMSAP, 2019)

Active Embedding Search via Noisy Paired Comparisons. - Gregory Canal; Andrew K. Massimino; Mark A. Davenport; Christopher J. Rozell (ICML, 2019)

Active ordinal tuplewise querying for similarity learning. - Gregory Canal; Stefano Fenu; Christopher J. Rozell (CoRR, 2019)

Active Ordinal Querying for Tuplewise Similarity Learning. - Gregory Canal; Stefano Fenu; Christopher Rozell (AAAI, 2020)

The Picasso Algorithm for Bayesian Localization Via Paired Comparisons in a Union of Subspaces Model. - Gregory Canal; Marissa Connor; Jihui Jin; Namrata Nadagouda; Matthew R. O'Shaughnessy; Christopher J. Rozell; Mark A. Davenport (ICASSP, 2020)

Generative causal explanations of black-box classifiers. - Matthew R. O'Shaughnessy; Gregory Canal; Marissa Connor; Christopher Rozell; Mark A. Davenport (NeurIPS, 2020)

Feedback Coding for Active Learning. - Gregory Canal; Matthieu R. Bloch; Christopher Rozell (AISTATS, 2021)

Variational Autoencoder with Learned Latent Structure. - Marissa Connor; Gregory Canal; Christopher Rozell (AISTATS, 2021)

Feedback Coding for Efficient Interactive Machine Learning. - Gregory Humberto Canal (2021)

One for All: Simultaneous Metric and Preference Learning over Multiple Users. - Gregory Canal; Blake Mason; Ramya Korlakai Vinayak; Robert Nowak 001 (NeurIPS, 2022)

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection. - Haoyue Bai 001; Gregory Canal; Xuefeng Du; Jeongyeol Kwon; Robert D. Nowak; Yixuan Li 001 (ICML, 2023)

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning. - Jifan Zhang; Yifang Chen 001; Gregory Canal; Stephen Mussmann; Yinglun Zhu; Simon Shaolei Du; Kevin G. Jamieson; Robert D. Nowak (CoRR, 2023)

A Decision-driven Methodology for Designing Uncertainty-aware AI Self-Assessment. - Gregory Canal; Vladimir Leung; Philip Sage; Eric Heim; I-Jeng Wang (CoRR, 2024)

Towards Large Language Models for Lunar Mission Planning and In Situ Resource Utilization. - Michael J. Pekala; Gregory Canal; Samuel Barham; Milena B. Graziano; Morgan Trexler; Leslie Hamilton; Elizabeth Reilly; Christopher D. Stiles (CoRR, 2025)