Matthew McDermott

According to our database, Matthew McDermott authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

A Systematic Study of Biomedical Retrieval Pipeline Trade-offs in Performance and Efficiency.

Hayk Stepanyan, Matthew McDermott

CoRR, April, 2026

2025

A Probabilistic Formulation of LiDAR Mapping With Neural Radiance Fields.

Matthew McDermott, Jason H. Rife

IEEE Robotics Autom. Lett., June, 2025

2024

Correcting Motion Distortion for LIDAR Scan-to-Map Registration.

Matthew McDermott, Jason H. Rife

IEEE Robotics Autom. Lett., February, 2024

Using machine learning to develop smart reflex testing protocols.

Matthew McDermott, Anand Dighe, Peter Szolovits, Yuan Luo, Jason Baron

J. Am. Medical Informatics Assoc., January, 2024

Characterizing Perspective Error in Voxel-Based Lidar Scan Matching.

Jason H. Rife, Matthew McDermott

CoRR, 2024

The (lack of?) Science of Machine Learning for Healthcare.

Matthew McDermott

Proceedings of the Machine Learning for Health, 2024

2023

Correcting Motion Distortion for LIDAR HD-Map Localization.

Matthew McDermott, Jason H. Rife

CoRR, 2023

ICET Online Accuracy Characterization for Geometry-Based Laser Scan Matching.

Matthew McDermott, Jason H. Rife

CoRR, 2023

2022

Mitigating Shadows in LIDAR Scan Matching Using Spherical Voxels.

Matthew McDermott, Jason H. Rife

IEEE Robotics Autom. Lett., 2022

DNN Filter for Bias Reduction in Distribution-to-Distribution Scan Matching.

Matthew McDermott, Jason H. Rife

CoRR, 2022

Enhanced Laser-Scan Matching with Online Error Estimation for Highway and Tunnel Driving.

Matthew McDermott, Jason H. Rife

CoRR, 2022

2021

Meta-learning to Improve Pre-training.

Aniruddh Raghu, Jonathan Lorraine, Simon Kornblith, Matthew McDermott, David Duvenaud

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021