Nicholas Quentin Haas

According to our database, Nicholas Quentin Haas authored at least 5 papers between 2021 and 2026.

Collaborative distances:

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

2026

ObstacleSense: Low-Power Neuromorphic Vision for Corridor Obstacle Awareness in Low-Level ADAS.

Zachary Johnson-Scott, Robert M. Patton, Chieh Ross Wang, Ashish Gautam, Shruti R. Kulkarni, Hanlin Chen, Adian Cook, Nicholas Quentin Haas

Proceedings of the 16th ACM International Green and Sustainable Computing Conference, 2026

2022

Evolutionary vs imitation learning for neuromorphic control at the edge.

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

Neuromorph. Comput. Eng., 2022

2021

High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function.

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

Proceedings of the IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2021

Neuromorphic Computing for Autonomous Racing.

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

Proceedings of the ICONS 2021: International Conference on Neuromorphic Systems 2021, 2021

Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm.

Mark A. Coletti, Shang Gao, Spencer Paulissen, Nicholas Quentin Haas, Robert M. Patton

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021