2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2022
AugLoss: A Robust Augmentation-based Fine Tuning Methodology
Kyle Otstot, Andrew Yang, John Kevin Cava +1
Deep Learning (DL) models achieve great successes in many domains. However, DL models increasingly face safety and robustness concerns, including noisy labeling in the training sta…
q-bio.BM2021
Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics
John Kevin Cava, John Vant, Nicholas Ho +4
In this paper, we utilized generative models, and reformulate it for problems in molecular dynamics (MD) simulation, by introducing an MD potential energy component to our generati…
cs.LG2019★ 2 cited
A Tunable Loss Function for Robust Classification: Calibration, Landscape, and Generalization
Tyler Sypherd, Mario Diaz, John Kevin Cava +3
We introduce a tunable loss function called -loss, parameterized by , which interpolates between the exponential loss (), the log-loss (), and the…