Towards Generalizable Distance Estimation By Leveraging Graph Information. - John Kevin Cava; Todd Houghton; Hongbin Yu (ICCV Workshops, 2019)

Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics. - John Kevin Cava; John W. Vant; Nicholas Ho; Ankita Shulka; Pavan K. Turaga; Ross Maciejewski; Abhishek Singharoy (CoRR, 2021)

AugLoss: A Learning Methodology for Real-World Dataset Corruption. - Kyle Otstot; John Kevin Cava; Tyler Sypherd; Lalitha Sankar (CoRR, 2022)

A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. - Tyler Sypherd; Mario Díaz; John Kevin Cava; Gautam Dasarathy; Peter Kairouz; Lalitha Sankar (IEEE Trans. Inf. Theory, 2022)

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics. - Tiankai Xie; Jiaqing Chen; Yaoqing Yang; Caleb Geniesse; Ge Shi 007; Ajinkya Chaudhari; John Kevin Cava; Michael W. Mahoney; Talita Perciano; Gunther H. Weber; Ross Maciejewski (IEEE Computer Graphics and Applications, 2025)

Removing Watermarks with Partial Regeneration using Semantic Information. - Krti Tallam; John Kevin Cava; Caleb Geniesse; N. Benjamin Erichson; Michael W. Mahoney (CoRR, 2025)