Meta-learning to Improve Pre-training. - Aniruddh Raghu; Jonathan Lorraine; Simon Kornblith; Matthew McDermott; David Duvenaud (NeurIPS, 2021)

Enhanced Laser-Scan Matching with Online Error Estimation for Highway and Tunnel Driving. - Matthew McDermott; Jason H. Rife (CoRR, 2022)

DNN Filter for Bias Reduction in Distribution-to-Distribution Scan Matching. - Matthew McDermott; Jason H. Rife (CoRR, 2022)

Mitigating Shadows in LIDAR Scan Matching Using Spherical Voxels. - Matthew McDermott; Jason H. Rife (IEEE Robotics Autom. Lett., 2022)

ICET Online Accuracy Characterization for Geometry-Based Laser Scan Matching. - Matthew McDermott; Jason H. Rife (CoRR, 2023)

Correcting Motion Distortion for LIDAR HD-Map Localization. - Matthew McDermott; Jason H. Rife (CoRR, 2023)

The (lack of?) Science of Machine Learning for Healthcare. - Matthew McDermott (ML4H@NeurIPS, 2024)

Characterizing Perspective Error in Voxel-Based Lidar Scan Matching. - Jason H. Rife; Matthew McDermott (CoRR, 2024)

Using machine learning to develop smart reflex testing protocols. - Matthew McDermott; Anand Dighe; Peter Szolovits; Yuan Luo 001; Jason Baron (J. Am. Medical Informatics Assoc., 2024)

Correcting Motion Distortion for LIDAR Scan-to-Map Registration. - Matthew McDermott; Jason H. Rife (IEEE Robotics Autom. Lett., 2024)

A Probabilistic Formulation of LiDAR Mapping With Neural Radiance Fields. - Matthew McDermott; Jason H. Rife (IEEE Robotics Autom. Lett., 2025)