| 2024 | GECCO | Evolving Form and Function: Dual-Objective Optimization in Neural Symbolic Regression Networks. | Amanda Bertschinger, James P. Bagrow, Joshua Clifford Bongard |
| 2024 | GECCO | Evolving Hierarchical Neural Cellular Automata. | Kameron Bielawski, Nate Gaylinn, Cameron Lunn, Kevin Motia, Joshua Clifford Bongard |
| 2024 | GECCO | A Meta-Evolutionary Algorithm for Co-evolving Genotypes and Genotype / Phenotype Maps. | Nathan Gaylinn, Joshua Clifford Bongard |
| 2018 | PPSN | Understanding Climate-Vegetation Interactions in Global Rainforests Through a GP-Tree Analysis. | Anuradha Kodali, Marcin Szubert, Kamalika Das, Sangram Ganguly, Joshua Clifford Bongard |
| 2016 | CogSci | Embodiment Effects in Evolutionary Robotics. | Nicholas Livingston, Anton Bernatskiy, Kenneth R. Livingston, Marc L. Smith, Jodi Schwarz, Joshua Clifford Bongard, David Wallach, Evan Altiero, John H. Long Jr. |
| 2014 | ALIFE | Collective Design of Robot Locomotion. | Mark Wagy, Joshua Clifford Bongard |
| 2013 | CEC | Avoiding local optima with user demonstrations and low-level control. | Shane Eric Celis, Gregory S. Hornby, Joshua Clifford Bongard |
| 2013 | CEC | Improving genetic programming based symbolic regression using deterministic machine learning. | Ilknur Icke, Joshua Clifford Bongard |
| 2013 | CEC | Modeling hierarchy using symbolic regression. | Ilknur Icke, Joshua Clifford Bongard |
| 2013 | GECCO | Automatic identification of hierarchy in multivariate data. | Ilknur Icke, Joshua Clifford Bongard |