| 2025 | ICLR | OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. | Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune |
| 2025 | ICLR | Automated Design of Agentic Systems. | Shengran Hu, Cong Lu, Jeff Clune |
| 2025 | ICLR | Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. | Cong Lu, Shengran Hu, Jeff Clune |
| 2024 | ECAI | Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. | Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney |
| 2024 | ICLR | Quality-Diversity through AI Feedback. | Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grgory Schott, Joel Lehman |
| 2024 | ICLR | OMNI: Open-endedness via Models of human Notions of Interestingness. | Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune |
| 2024 | ICML | Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization. | Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman |
| 2024 | ICML | Genie: Generative Interactive Environments. | Jake Bruce, Michael D. Dennis, Ashley Edwards, Jack Parker-Holder, Yuge Shi, Edward Hughes, Matthew Lai, Aditi Mavalankar, Richie Steigerwald, Chris Apps, Yusuf Aytar, Sarah Bechtle, Feryal M. P. Behbahani, Stephanie C. Y. Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktschel |
| 2020 | ECAI | Learning to Continually Learn. | Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney |
| 2020 | GECCO | Scaling MAP-Elites to deep neuroevolution. | Cdric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune |
| 2019 | GECCO | Evolvability ES: scalable and direct optimization of evolvability. | Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman |
| 2019 | GECCO | POET: open-ended coevolution of environments and their optimized solutions. | Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley |
| 2019 | ICLR | Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. | Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley |
| 2019 | IJCAI | An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. | Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Jiale Zhi, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman |
| 2019 | ICRA | Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. | Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine |
| 2018 | GECCO | Safe mutations for deep and recurrent neural networks through output gradients. | Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley |
| 2018 | GECCO | ES is more than just a traditional finite-difference approximator. | Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley |
| 2018 | GECCO | VINE: an open source interactive data visualization tool for neuroevolution. | Rui Wang, Jeff Clune, Kenneth O. Stanley |
| 2018 | ICML | Differentiable plasticity: training plastic neural networks with backpropagation. | Thomas Miconi, Kenneth O. Stanley, Jeff Clune |
| 2017 | CVPR | Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. | Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski |
| 2016 | GECCO | Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks? | Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune |
| 2016 | GECCO | Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It. | Henok Mengistu, Joel Lehman, Jeff Clune |
| 2016 | GECCO | Neuromodulation Improves the Evolution of Forward Models. | Mohammad Sadegh Norouzzadeh, Jeff Clune |
| 2016 | GECCO | How do Different Encodings Influence the Performance of the MAP-Elites Algorithm? | Danesh Tarapore, Jeff Clune, Antoine Cully, Jean-Baptiste Mouret |
| 2016 | GECCO | Identifying Core Functional Networks and Functional Modules within Artificial Neural Networks via Subsets Regression. | Roby Velez, Jeff Clune |
| 2015 | CVPR | Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. | Anh Mai Nguyen, Jason Yosinski, Jeff Clune |
| 2015 | GECCO | Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. | Anh Mai Nguyen, Jason Yosinski, Jeff Clune |
| 2014 | ALIFE | Evolved Electrophysiological Soft Robots. | Nicholas Cheney, Jeff Clune, Hod Lipson |
| 2014 | ALIFE | Summary of "The Evolutionary Origins of Modularity". | Jeff Clune, Jean-Baptiste Mouret, Hod Lipson |
| 2014 | GECCO | Automated generation of environments to test the general learning capabilities of AI agents. | Oliver J. Coleman, Alan D. Blair, Jeff Clune |
| 2014 | GECCO | Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique. | Joost Huizinga, Jeff Clune, Jean-Baptiste Mouret |
| 2014 | GECCO | Encouraging creative thinking in robots improves their ability to solve challenging problems. | Jingyu Li, Jed Storie, Jeff Clune |
| 2014 | GECCO | Novelty search creates robots with general skills for exploration. | Roby Velez, Jeff Clune |
| 2013 | CEC | Upload any object and evolve it: Injecting complex geometric patterns into CPPNS for further evolution. | Jeff Clune, Anthony Chen, Hod Lipson |
| 2013 | GECCO | Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding. | Nick Cheney, Robert MacCurdy, Jeff Clune, Hod Lipson |
| 2013 | GECCO | Summary of "the evolutionary origins of modularity". | Jeff Clune, Jean-Baptiste Mouret, Hod Lipson |
| 2013 | GECCO | Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes. | Jeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjun |
| 2012 | ALIFE | Aracna: An Open-Source Quadruped Platform for Evolutionary Robotics. | Sara Lohmann, Jason Yosinski, Eric Gold, Jeff Clune, Jeremy Blum, Hod Lipson |
| 2011 | GECCO | A novel generative encoding for evolving modular, regular and scalable networks. | Marcin Suchorzewski, Jeff Clune |
| 2011 | GECCO | Generating gaits for physical quadruped robots: evolved neural networks vs. local parameterized search. | Jason Yosinski, Jeff Clune, Diana Hidalgo, Sarah Nguyen, Juan Cristbal Zagal, Hod Lipson |
| 2010 | GECCO | Digital evolution with avida. | Benjamin E. Beckmann, Jeff Clune, Charles Ofria |
| 2010 | GECCO | Investigating whether hyperNEAT produces modular neural networks. | Jeff Clune, Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria |
| 2009 | CEC | Evolving coordinated quadruped gaits with the HyperNEAT generative encoding. | Jeff Clune, Benjamin E. Beckmann, Charles Ofria, Robert T. Pennock |
| 2009 | GECCO | The sensitivity of HyperNEAT to different geometric representations of a problem. | Jeff Clune, Charles Ofria, Robert T. Pennock |
| 2009 | GECCO | Problem decomposition using indirect reciprocity in evolved populations. | Heather Goldsby, Sherri Goings, Jeff Clune, Charles Ofria |
| 2008 | GECCO | How generative encodings fare on less regular problems. | Jeff Clune, Charles Ofria, Robert T. Pennock |
| 2008 | PPSN | How a Generative Encoding Fares as Problem-Regularity Decreases. | Jeff Clune, Charles Ofria, Robert T. Pennock |
| 2005 | GECCO | Investigations in meta-GAs: panaceas or pipe dreams? | Jeff Clune, Sherri Goings, Bill Punch, Eric Goodman |