John Kevin Cava

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 4

Top Topics

Convex Loss Functions

Benchmark Datasets

Robust Classification

Distance Estimation

Top Venues

IEEE Trans. Inf. Theory

Publications

Kyle Otstot, John Kevin Cava, Tyler Sypherd, Lalitha Sankar
AugLoss: A Learning Methodology for Real-World Dataset Corruption. CoRR (2022)
Tyler Sypherd, Mario Díaz, John Kevin Cava, Gautam Dasarathy, Peter Kairouz, Lalitha Sankar
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization. IEEE Trans. Inf. Theory 68 (9) (2022)
John Kevin Cava, John W. Vant, Nicholas Ho, Ankita Shulka, Pavan Turaga, Ross Maciejewski, Abhishek Singharoy
Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics. CoRR (2021)
John Kevin Cava, Todd Houghton, Hongbin Yu
Towards Generalizable Distance Estimation By Leveraging Graph Information. ICCV Workshops (2019)