Publications per year
Publications per year
Overview
Education/Academic qualification
Comp-Comp Sci, Master's Degree
Fingerprint
Dive into the research topics where Nicholas Haas is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Researcher collaborations from the last five years
Based on publications and projects (not datasets). Dive into details by clicking on the dots or
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Evolutionary vs imitation learning for neuromorphic control at the edge
Schuman, C., Patton, R., Kulkarni, S., Parsa, M., Stahl, C., Haas, N. Q., Mitchell, J. P., Snyder, S., Nagle, A., Shanafield, A. & Potok, T., Mar 1 2022, In: Neuromorphic Computing and Engineering. 2, 1, 014002.Research output: Contribution to journal › Article › peer-review
Open Access11 Scopus citations -
Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm
Coletti, M. A., Gao, S., Paulissen, S., Haas, N. Q. & Patton, R., Jul 7 2021, GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 301-302 2 p. (GECCO 2021 Companion - Proceedings of the 2021 Genetic and Evolutionary Computation Conference Companion).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access6 Scopus citations -
Gremlin, an adversarial evolutionary algorithm that discovers biases or weaknesses in machine learners
Coletti, M. (Developer), Gao, S. (Developer), Paulissen, S. (Developer), Haas, N. (Developer) & Patton, R. (Developer), 2021Research output: Non-textual form › Software
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High-Performance Deep Learning Toolbox for Genome-Scale Prediction of Protein Structure and Function
Gao, M., Lund-Andersen, P., Morehead, A., Mahmud, S., Chen, C., Chen, X., Giri, N., Roy, R. S., Quadir, F., Effler, T. C., Prout, R., Abraham, S., Elwasif, W., Haas, N. Q., Skolnick, J., Cheng, J. & Sedova, A., 2021, Proceedings of MLHPC 2021: Workshop on Machine Learning in High Performance Computing Environments, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis. Institute of Electrical and Electronics Engineers Inc., p. 46-57 12 p. (Proceedings of MLHPC 2021: Workshop on Machine Learning in High Performance Computing Environments, Held in conjunction with SC 2021: The International Conference for High Performance Computing, Networking, Storage and Analysis).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access9 Scopus citations -
Neuromorphic Computing for Autonomous Racing
Patton, R., Schuman, C., Kulkarni, S., Parsa, M., Mitchell, J. P., Haas, N. Q., Stahl, C., Paulissen, S., Date, P., Potok, T. & Sneider, S., Jul 27 2021, ICONS 2021 - Proceedings of International Conference on Neuromorphic Systems 2021. Association for Computing Machinery, 3477170. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access11 Scopus citations
Awards
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2022 R&D 100 Award
Patton, R. (Recipient), Coletti, M. (Recipient) & Haas, N. (Recipient), 2022
Prize: Honorary award