Nicholas Quentin Haas

Publication Activity (10 Years)

Years Active: 2021-2022
Publications (10 Years): 4

Top Topics

Graphical Models

Protein Structure And Function

Top Venues

GECCO Companion

Neuromorph. Comput. Eng.

Publications

Catherine D. Schuman, Robert M. Patton, Shruti R. Kulkarni, Maryam Parsa, Christopher G. Stahl, Nicholas Quentin Haas, J. Parker Mitchell, Shay Snyder, Amelie Nagle, Alexandra Shanafield, Thomas E. Potok
Evolutionary vs imitation learning for neuromorphic control at the edge. Neuromorph. Comput. Eng. 2 (1) (2022)
Mu Gao, Peik Lund-Andersen, Alex Morehead, Sajid Mahmud, Chen Chen, Xiao Chen, Nabin Giri, Raj S. Roy, Farhan Quadir, T. Chad Effler, Ryan Prout, Subil Abraham, Wael R. Elwasif, Nicholas Quentin Haas, Jeffrey Skolnick, Jianlin Cheng, Ada Sedova
High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function. MLHPC@SC (2021)
Mark A. Coletti, Shang Gao, Spencer Paulissen, Nicholas Quentin Haas, Robert M. Patton
Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm. GECCO Companion (2021)
Robert M. Patton, Catherine D. Schuman, Shruti R. Kulkarni, Maryam Parsa, J. Parker Mitchell, Nicholas Quentin Haas, Christopher G. Stahl, Spencer Paulissen, Prasanna Date, Thomas E. Potok, Shay Sneider
Neuromorphic Computing for Autonomous Racing. ICONS (2021)