Justin A. Goodwin

Publication Activity (10 Years)

Years Active: 2018-2021
Publications (10 Years): 6

Top Topics

Automatic Target Recognition

Ibm Zenterprise

Back Propagation

Feed Forward Neural Networks

Top Venues

Publications

Olivia M. Brown, Andrew Curtis, Justin A. Goodwin
Principles for Evaluation of AI/ML Model Performance and Robustness. CoRR (2021)
Stephen Mell, Olivia M. Brown, Justin A. Goodwin, Sung-Hyun Son
Safe Predictors for Enforcing Input-Output Specifications. CoRR (2020)
Justin A. Goodwin, Olivia M. Brown, Victoria Helus
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations. CoRR (2020)
Justin A. Goodwin, Olivia M. Brown, Victoria Helus
Fast Training of Deep Neural Networks Robust to Adversarial Perturbations. HPEC (2020)
Taylor W. Killian, Justin A. Goodwin, Olivia M. Brown, Sung-Hyun Son
Kernelized Capsule Networks. CoRR (2019)
Justin A. Goodwin, Olivia M. Brown, Taylor W. Killian, Sung-Hyun Son
Learning Robust Representations for Automatic Target Recognition. CoRR (2018)