I am a machine learning engineer who earned a PhD. in computer science under Dr. Odelia Schwartz at the University of Miami in 2022. My main research interests are vision, computational neuroscience, sparse coding, and machine learning. My graduate work was supported by a National Science Foundation (NSF) Graduate Research Fellowship.
I recieved a B.S. in computer science with a minor in mathematics from the University of Central Florida. During my time at UCF I worked with Dr. Kenneth Stanley on neural networks for control tasks. During the summer of 2017 I worked at the Princeton Neuroscience Institute in the lab of Dr. Jonathan Pillow on hierarchical and non-negative sparse coding.
Research Assistant
Advisor: Dr. Odelia Schwartz
June 2018 – December 2022
CNNs Based on Sparse Coding
Research Intern
Advisor: Dr. Jonathan Pillow
June 2017 – August 2017
Hierarchical and Non-Negative Sparse Coding.
Research Assistant
Advisor: Dr. Kenneth Stanley
June 2014 – May 2017
Real-Time Autoencoder-Augmented Hebbian Network
Joshua Bowren. University of Miami.
(2022) Inference via Sparse Coding in a Hierarchical Vision ModelJoshua Bowren, Luis Sanchez-Giraldo, Odelia Schwartz. Journal of Vision 2022;22(2):19. doi: https://doi.org/10.1167/jov.22.2.19.
(2021) A Sparse Coding Interpretation of Neural Networks and Theoretical ImplicationsJoshua Bowren. arXiv.
(2016) Fully Autonomous Real-Time Autoencoder-Augmented Hebbian Learning through the Collection of Novel ExperiencesJoshua A. Bowren, Justin, K. Pugh, and Kenneth O. Stanley. Proceedings of the Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XV). Cambridge, MA: MIT Press, 2016. 8 pages.
