The ISC is part of the Johns Hopkins Applied Physics Laboratory and will follow all current policies. Please visit the JHU/APL page for more information on the Lab's visitor guidance.


ISC Research at ICML 2022

The ISC has several papers included in the 2022 International Conference on Machine Learning in Baltimore, MD this week.


At the Workshop on Dynamic Neural Networks (Friday, July 22)

Learning Modularity for Generalizable Robotic Behaviors

Corban Rivera, Chase Ashcraft, Ted Staley, Katie Popek, Kapil Katyal, Bart Paulhamus


Triangular Dropout: Variable Network Width without Retraining

Ted Staley, and Jared Markowitz


At the Workshop on Responsible Decision Making in Dynamic Environments (Saturday, July 23)

A Decision Metric for the Use of a Deep Reinforcement Learning Policy

Christina Selby, Ted Staley, and Tamim Sookoor


At the AI4Science Workshop (Saturday, July 23)

Neural Basis Functions for Accelerating Solutions to high Mach Euler Equations

David Witman, Alexander New, Hicham Alkandry, and Honest Mrema


Curvature-informed multi-task learning graph networks

Alexander New, Michael J. Pekala, Nam Q. Le, Janna Domenico, Christine D. Piatko, Christopher D. Stiles


If you're there, please stop by our booth in the exhibition hall for a chat with a member of our team!