Uncertainty-based modulation for lifelong learning. - Andrew P. Brna; Ryan C. Brown; Patrick M. Connolly; Stephen B. Simons; Renee E. Shimizu; Mario Aguilar-Simon (Neural Networks, 2019)

Uncertainty-Driven Control for a Self-Supervised Lifelong Learning Drone. - Ryan C. Brown; Andrew P. Brna; Jared Cook; Samuel Park; Mario Aguilar-Simon (IGARSS, 2022)

Biological underpinnings for lifelong learning machines. - Dhireesha Kudithipudi; Mario Aguilar-Simon; Jonathan Babb; Maxim Bazhenov; Douglas Blackiston; Josh C. Bongard; Andrew P. Brna; Suraj Chakravarthi Raja; Nick Cheney; Jeff Clune; Anurag Reddy Daram; Stefano Fusi; et al. (Nat. Mach. Intell., 2022)

A domain-agnostic approach for characterization of lifelong learning systems. - Megan 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; et al. (Neural Networks, 2023)