John Kevin Cava

According to our database, John Kevin Cava authored at least 6 papers between 2019 and 2025.

Collaborative distances:

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

2025

Removing Watermarks with Partial Regeneration using Semantic Information.

Krti Tallam, John Kevin Cava, Caleb Geniesse, N. Benjamin Erichson, Michael W. Mahoney

CoRR, May, 2025

LossLens: Diagnostics for Machine Learning Through Loss Landscape Visual Analytics.

Tiankai Xie, Jiaqing Chen, Yaoqing Yang, Caleb Geniesse, Ge Shi, Ajinkya Chaudhari, John Kevin Cava, Michael W. Mahoney, Talita Perciano, Gunther H. Weber, Ross Maciejewski

IEEE Computer Graphics and Applications, 2025

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

AugLoss: A Learning Methodology for Real-World Dataset Corruption.

Kyle Otstot, John Kevin Cava, Tyler Sypherd, Lalitha Sankar

CoRR, 2022

2021

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

2019

Towards Generalizable Distance Estimation By Leveraging Graph Information.

John Kevin Cava, Todd Houghton, Hongbin Yu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019