Generating large-scale neural networks through discovering geometric regularities. - Jason Gauci; Kenneth O. Stanley (GECCO, 2007)

A Case Study on the Critical Role of Geometric Regularity in Machine Learning. - Jason Gauci; Kenneth O. Stanley (AAAI, 2008)

A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks. - Kenneth O. Stanley; David B. D'Ambrosio; Jason Gauci (Artif. Life, 2009)

Indirect Encoding of Neural Networks for Scalable Go. - Jason Gauci; Kenneth O. Stanley (PPSN (1), 2010)

Autonomous Evolution of Topographic Regularities in Artificial Neural Networks. - Jason Gauci; Kenneth O. Stanley (Neural Comput., 2010)

Evolving neural networks for geometric game-tree pruning. - Jason Gauci; Kenneth O. Stanley (GECCO, 2011)

HyperNEAT: The First Five Years. - David B. D'Ambrosio; Jason Gauci; Kenneth O. Stanley (Growing Adaptive Machines, 2014)

Multi-modal Interaction Between Pilots and Avionic Systems On-Board Large Commercial Aircraft. - Jason Gauci; Matthew Xuereb; Alan Muscat; David Zammit-Mangion (HCI (6), 2017)

Horizon: Facebook's Open Source Applied Reinforcement Learning Platform. - Jason Gauci; Edoardo Conti; Yitao Liang; Kittipat Virochsiri; Yuchen He; Zachary Kaden; Vivek Narayanan; Xiaohui Ye (CoRR, 2018)