Keegan Quigley

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 8

Top Topics

Semi Autonomous

Artificial Neural Networks To Predict

Learning Problems

Multiple Representations

Top Venues

Publications

Teddy Koker, Keegan Quigley, Eric Taw, Kevin Tibbetts, Lin Li
Higher-Order Equivariant Neural Networks for Charge Density Prediction in Materials. CoRR (2023)
Keegan Quigley, Miriam Cha, Josh Barua, Geeticka Chauhan, Seth J. Berkowitz, Steven Horng, Polina Golland
Bidirectional Captioning for Clinically Accurate and Interpretable Models. CoRR (2023)
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
RadTex: Learning Efficient Radiograph Representations from Text Reports. REMIA@MICCAI (2022)
Keegan Quigley, Miriam Cha, Ruizhi Liao, Geeticka Chauhan, Steven Horng, Seth J. Berkowitz, Polina Golland
RadTex: Learning Efficient Radiograph Representations from Text Reports. CoRR (2022)
Keegan Quigley, Virginia Goodwin, Luis Alvarez, Justin Yao, Yousef Salaman Maclara
Developing Modular Autonomous Capabilities for sUAS Operations. CoRR (2022)
Teddy Koker, Keegan Quigley, Will Spaeth, Nathan C. Frey, Lin Li
Graph Contrastive Learning for Materials. CoRR (2022)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
Multimodal Representation Learning via Maximization of Local Mutual Information. MICCAI (2) (2021)
Ruizhi Liao, Daniel Moyer, Miriam Cha, Keegan Quigley, Seth J. Berkowitz, Steven Horng, Polina Golland, William M. Wells III
Multimodal Representation Learning via Maximization of Local Mutual Information. CoRR (2021)