Eric M. Sample

According to our database, Eric M. Sample authored at least 6 papers between 2011 and 2025.

Collaborative distances:

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

2025

Enhancing Certifiable Semantic Robustness via Robust Pruning of Deep Neural Networks.

Hanjiang Hu, Bowei Li, Ziwei Wang, Tianhao Wei, Casidhe Hutchison, Eric M. Sample, Changliu Liu

CoRR, October, 2025

2024

Improve Certified Training with Signal-to-Noise Ratio Loss to Decrease Neuron Variance and Increase Neuron Stability.

Tianhao Wei, Ziwei Wang, Peizhi Niu, Abulikemu Abuduweili, Weiye Zhao, Casidhe Hutchison, Eric M. Sample, Changliu Liu

Trans. Mach. Learn. Res., 2024

2021

Perception robustness testing at different levels of generality.

Zachary Pezzementi, Trenton Tabor, Jonathan K. Chang, Carter Tiernan, Bill Drozd, Eric M. Sample, Chris Hazard, Michael Wagner, Philip Koopman

Field Robotics, October, 2021

2020

Robustness Inside Out Testing.

Deborah S. Katz, Milda Zizyte, Casidhe Hutchison, David Guttendorf, Patrick E. Lanigan, Eric M. Sample, Philip Koopman, Michael Wagner, Claire Le Goues

Proceedings of the 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks, 2020

2013

Bayesian Multicategorical Soft Data Fusion for Human-Robot Collaboration.

Nisar R. Ahmed, Eric M. Sample, Mark E. Campbell

IEEE Trans. Robotics, 2013

2011

Categorical soft data fusion via variational Bayesian importance sampling with applications to cooperative search.

Nisar R. Ahmed, Eric M. Sample, Ken Ho, Tauhira Hoossainy, Mark E. Campbell

Proceedings of the American Control Conference, 2011