Jordan K. Matelsky

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

Top Topics

Artificial Intelligence

Defeasible Logic

Spinal Cord Injury

Top Venues

Publications

Jordan K. Matelsky, Lyle H. Ungar, Konrad P. Kording
Empirical influence functions to understand the logic of fine-tuning. CoRR (2024)
Erik C. Johnson, Brian S. Robinson, Gautam K. Vallabha, Justin Joyce, Jordan K. Matelsky, Raphael Norman-Tenazas, Isaac Western, Marisel Villafañe-Delgado, Martha Cervantes, Michael S. Robinette, Arun V. Reddy, Lindsey Kitchell, Patricia K. Rivlin, Elizabeth Perez Reilly, Nathan Drenkow, Matthew J. Roos, I-Jeng Wang, Brock A. Wester, William R. Gray Roncal, Joan A. Hoffmann
Exploiting Large Neuroimaging Datasets to Create Connectome-Constrained Approaches for more Robust, Efficient, and Adaptable Artificial Intelligence. CoRR (2023)
Erik C. Johnson, Jordan K. Matelsky, Christa Cooke, Breanne P. Christie, Khalid Jones, Harley Ledbetter, Siqi Wang, Gail F. Forrest, Nathan Torgerson, Claudia A. Angeli, Susan J. Harkema, Francesco V. Tenore
Automated Tools to Improve Spinal Cord Injury Outcomes with Epidural Stimulation. NER (2023)
Jordan K. Matelsky, Felipe Parodi, Tony Liu, Richard D. Lange, Konrad P. Kording
A large language model-assisted education tool to provide feedback on open-ended responses. CoRR (2023)
Miller Wilt, Jordan K. Matelsky, Andrew S. Gearhart
Scatterbrained: A flexible and expandable pattern for decentralized machine learning. CoRR (2021)