Ryan C. Brown - researchr alias

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Viewing Publication 1 - 5 from 5

2023

A domain-agnostic approach for characterization of lifelong learning systemsMegan M. Baker, Alexander New, Mario Aguilar-Simon, Ziad Al-Halah, Sébastien M. R. Arnold, Eseoghene Ben-Iwhiwhu, Andrew P. Brna, Ethan Brooks, Ryan C. Brown, Zachary Daniels, Anurag Reddy Daram, Fabien Delattre, Ryan Dellana, Eric Eaton, Haotian Fu, Kristen Grauman, Jesse Hostetler, Shariq Iqbal, Cassandra Kent, Nicholas Ketz, Soheil Kolouri, George Konidaris 0001, Dhireesha Kudithipudi, Erik G. Learned-Miller, SeungWon Lee, Michael L. Littman, Sandeep Madireddy, Jorge A. Mendez, Eric Q. Nguyen, Christine D. Piatko, Praveen K. Pilly, Aswin Raghavan, Abrar Rahman, Santhosh Kumar Ramakrishnan, Neale Ratzlaff, Andrea Soltoggio, Peter Stone, Indranil Sur, Zhipeng Tang, Saket Tiwari, Kyle Vedder, Felix Wang, Zifan Xu, Angel Yanguas-Gil, Harel Yedidsion, Shangqun Yu, Gautam K. Vallabha. NN, 160:274-296, March 2023. [doi]

2022

Uncertainty-Driven Control for a Self-Supervised Lifelong Learning DroneRyan C. Brown, Andrew P. Brna, Jared Cook, Samuel Park, Mario Aguilar-Simon. igarss 2022: 5053-5056 [doi]

2019

Uncertainty-based modulation for lifelong learningAndrew P. Brna, Ryan C. Brown, Patrick M. Connolly, Stephen B. Simons, Renee E. Shimizu, Mario Aguilar-Simon. NN, 120:129-142, 2019. [doi]

2018

HSImage: A Python and C++ library to allow interaction with ENVI-BIL hyperspectral imagesRyan C. Brown, Joshua Moser. jossw, 3(25):630, 2018. [doi]

2016

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