Jeff Clune - RankMe

155 papers A* 17A 24B 3C 6Misc 1Journal 83Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hyperagents. CoRR Jenny Zhang, Bingchen Zhao, Wannan Yang, Jakob N. Foerster, Jeff Clune, Minqi Jiang, Sam Devlin, Tatiana Shavrina
2026	J	`jnl`	Learning to Continually Learn via Meta-learning Agentic Memory Designs. CoRR Yiming Xiong, Shengran Hu, Jeff Clune
2025	J	`jnl`	Automated Capability Discovery via Model Self-Exploration. CoRR Cong Lu, Shengran Hu, Jeff Clune
2025	A*	`conf`	Automated Design of Agentic Systems. ICLR Shengran Hu, Cong Lu, Jeff Clune
2025	J	`jnl`	Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents. CoRR Jenny Zhang, Shengran Hu, Cong Lu, Robert T. Lange, Jeff Clune
2025	J	`jnl`	Foundation Model Self-Play: Open-Ended Strategy Innovation via Foundation Models. CoRR Aaron Dharna, Cong Lu, Jeff Clune
2025	J	`jnl`	How Weight Resampling and Optimizers Shape the Dynamics of Continual Learning and Forgetting in Neural Networks. CoRR Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney
2025	A*	`conf`	Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. ICLR Cong Lu, Shengran Hu, Jeff Clune
2025	A*	`conf`	OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. ICLR Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune
2025	J	`jnl`	Questioning Representational Optimism in Deep Learning: The Fractured Entangled Representation Hypothesis. CoRR Akarsh Kumar, Jeff Clune, Joel Lehman, Kenneth O. Stanley
2025	J	`jnl`	The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search. CoRR Yutaro Yamada, Robert Tjarko Lange, Cong Lu, Shengran Hu, Chris Lu, Jakob N. Foerster, Jeff Clune, David Ha
2025	J	`jnl`	The Singapore Consensus on Global AI Safety Research Priorities. CoRR Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic
2024	J	`jnl`	Automated Design of Agentic Systems. CoRR Shengran Hu, Cong Lu, Jeff Clune
2024	A*	`conf`	First-Explore, then Exploit: Meta-Learning to Solve Hard Exploration-Exploitation Trade-Offs. NeurIPS Ben Norman, Jeff Clune
2024	A*	`conf`	Genie: Generative Interactive Environments. ICML 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 Rocktäschel
2024	J	`jnl`	Genie: Generative Interactive Environments. CoRR Jake Bruce, Michael 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 Chan, Nicolas Heess, Lucy Gonzalez, Simon Osindero, Sherjil Ozair, Scott E. Reed, Jingwei Zhang, Konrad Zolna, Jeff Clune, Nando de Freitas, Satinder Singh, Tim Rocktäschel
2024	J	`jnl`	Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. CoRR Cong Lu, Shengran Hu, Jeff Clune
2024	J	`jnl`	OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. CoRR Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune
2024	A*	`conf`	OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2024	A*	`conf`	Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization. ICML Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
2024	A*	`conf`	Quality-Diversity through AI Feedback. ICLR Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2024	A	`conf`	Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. ECAI Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney
2024	J	`jnl`	Scaling Instructable Agents Across Many Simulated Worlds. CoRR SIMA Team, Maria Abi Raad, Arun Ahuja, Catarina Barros, Frederic Besse, Andrew Bolt, Adrian Bolton, Bethanie Brownfield, Gavin Buttimore, Max Cant, Sarah Chakera, Stephanie C. Y. Chan, Jeff Clune, Adrian Collister, Vikki Copeman, Alex Cullum, Ishita Dasgupta, Dario de Cesare, Julia Di Trapani, Yani Donchev, Emma Dunleavy, Martin Engelcke, Ryan Faulkner, Frankie Garcia, Charles Gbadamosi, Zhitao Gong, Lucy Gonzalez, Kshitij Gupta, Karol Gregor, Arne Olav Hallingstad, Tim Harley, Sam Haves, Felix Hill, Ed Hirst, Drew A. Hudson, Jony Hudson, Steph Hughes-Fitt, Danilo J. Rezende, Mimi Jasarevic, Laura Kampis, Nan Rosemary Ke, Thomas Keck, Junkyung Kim, Oscar Knagg, Kavya Kopparapu, Andrew K. Lampinen, Shane Legg, Alexander Lerchner, Marjorie Limont, Yulan Liu, Maria Loks-Thompson, Joseph Marino, Kathryn Martin Cussons, Loic Matthey, Siobhan Mcloughlin, Piermaria Mendolicchio, Hamza Merzic, Anna Mitenkova, Alexandre Moufarek, Valéria Oliveira, Yanko Gitahy Oliveira, Hannah Openshaw, Renke Pan, Aneesh Pappu, Alex Platonov, Ollie Purkiss, David P. Reichert, John Reid, Pierre Harvey Richemond, Tyson Roberts, Giles Ruscoe, Jaume Sanchez Elias, Tasha Sandars, Daniel P. Sawyer, Tim Scholtes, Guy Simmons, Daniel Slater, Hubert Soyer, Heiko Strathmann, Peter Stys, Allison C. Tam, Denis Teplyashin, Tayfun Terzi, Davide Vercelli, Bojan Vujatovic, Marcus Wainwright, Jane X. Wang, Zhengdong Wang, Daan Wierstra, Duncan Williams, Nathaniel Wong, Sarah York, Nick Young
2024	J	`jnl`	The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. CoRR Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob N. Foerster, Jeff Clune, David Ha
2023	J	`jnl`	First-Explore, then Exploit: Meta-Learning Intelligent Exploration. CoRR Ben Norman, Jeff Clune
2023	J	`jnl`	Managing AI Risks in an Era of Rapid Progress. CoRR Yoshua Bengio, Geoffrey E. Hinton, Andrew Yao, Dawn Song, Pieter Abbeel, Yuval Noah Harari, Ya-Qin Zhang, Lan Xue, Shai Shalev-Shwartz, Gillian K. Hadfield, Jeff Clune, Tegan Maharaj, Frank Hutter, Atilim Günes Baydin, Sheila A. McIlraith, Qiqi Gao, Ashwin Acharya, David Krueger, Anca D. Dragan, Philip H. S. Torr, Stuart Russell, Daniel Kahneman, Jan Brauner, Sören Mindermann
2023	J	`jnl`	OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2023	J	`jnl`	Quality Diversity through Human Feedback. CoRR Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
2023	J	`jnl`	Quality-Diversity through AI Feedback. CoRR Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman
2023	J	`jnl`	Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. CoRR Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney
2023	A*	`conf`	Thought Cloning: Learning to Think while Acting by Imitating Human Thinking. NeurIPS Shengran Hu, Jeff Clune
2023	J	`jnl`	Thought Cloning: Learning to Think while Acting by Imitating Human Thinking. CoRR Shengran Hu, Jeff Clune
2022	J	`jnl`	Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 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, Peter Helfer, Leslie Kay, Nicholas Ketz, Zsolt Kira, Soheil Kolouri, Jeffrey L. Krichmar, Sam Kriegman, Michael Levin, Sandeep Madireddy, Santosh Manicka, Ali Marjaninejad, Bruce McNaughton, Risto Miikkulainen, Zaneta Navratilova, Tej Pandit, Alice Parker, Praveen K. Pilly, Sebastian Risi, Terrence J. Sejnowski, Andrea Soltoggio, Nicholas Soures, Andreas S. Tolias, Darío Urbina-Meléndez, Francisco J. Valero Cuevas, Gido M. van de Ven, Joshua T. Vogelstein, Felix Wang, Ron Weiss, Angel Yanguas-Gil, Xinyun Zou, Hava T. Siegelmann
2022	J	`jnl`	Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multiobjective Evolutionary Algorithm. Evol. Comput. Joost Huizinga, Jeff Clune
2022	A*	`conf`	Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos. NeurIPS Bowen Baker, Ilge Akkaya, Peter Zhokhov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune
2022	J	`jnl`	Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos. CoRR Bowen Baker, Ilge Akkaya, Peter Zhokhov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune
2021	J	`jnl`	Continual learning under domain transfer with sparse synaptic bursting. CoRR Shawn L. Beaulieu, Jeff Clune, Nick Cheney
2021	J	`jnl`	First return, then explore. Nat. Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2021	J	`jnl`	Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft. CoRR Ingmar Kanitscheider, Joost Huizinga, David Farhi, William Hebgen Guss, Brandon Houghton, Raul Sampedro, Peter Zhokhov, Bowen Baker, Adrien Ecoffet, Jie Tang, Oleg Klimov, Jeff Clune
2020	J	`jnl`	Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. CoRR Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
2020	J	`jnl`	Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. CoRR Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley
2020	J	`jnl`	Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods. CoRR Jiale Zhi, Rui Wang, Jeff Clune, Kenneth O. Stanley
2020	J	`jnl`	First return then explore. CoRR Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2020	A	`conf`	Learning to Continually Learn. ECAI Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020	J	`jnl`	Learning to Continually Learn. CoRR Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
2020	C	`conf`	Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. ALIFE Adrien Ecoffet, Jeff Clune, Joel Lehman
2020	J	`jnl`	Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. CoRR Adrien Ecoffet, Jeff Clune, Joel Lehman
2020	J	`jnl`	Scaling MAP-Elites to Deep Neuroevolution. CoRR Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune
2020	A	`conf`	Scaling MAP-Elites to deep neuroevolution. GECCO Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune
2020	J	`jnl`	Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
2020	J	`jnl`	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Nick Cheney, Patryk Chrabaszcz, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Léni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Richard A. Watson, Westley Weimer, Jason Yosinski
2019	J	`jnl`	A deep active learning system for species identification and counting in camera trap images. CoRR Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune
2019	J	`jnl`	AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence. CoRR Jeff Clune
2019	A*	`conf`	An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI 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	—	`conf`	Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. ICLR (Poster) Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
2019	—	`conf`	Commonsense and Semantic-Guided Navigation through Language in Embodied Environment. ViGIL@NeurIPS Dian Yu, Chandra Khatri, Alexandros Papangelis, Andrea Madotto, Mahdi Namazifar, Joost Huizinga, Adrien Ecoffet, Huaixiu Zheng, Piero Molino, Jeff Clune, Zhou Yu, Kenji Sagae, Gökhan Tür
2019	J	`jnl`	Designing neural networks through neuroevolution. Nat. Mach. Intell. Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen
2019	J	`jnl`	Evolvability ES: Scalable and Direct Optimization of Evolvability. CoRR Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
2019	A	`conf`	Evolvability ES: scalable and direct optimization of evolvability. GECCO Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
2019	J	`jnl`	Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2019	J	`jnl`	Go-Explore: a New Approach for Hard-Exploration Problems. CoRR Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2019	A	`conf`	POET: open-ended coevolution of environments and their optimized solutions. GECCO Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
2019	J	`jnl`	Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. CoRR Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
2019	A*	`conf`	Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. ICRA Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine
2019	—	`ch.`	Understanding Neural Networks via Feature Visualization: A Survey. Explainable AI Anh Nguyen, Jason Yosinski, Jeff Clune
2019	J	`jnl`	Understanding Neural Networks via Feature Visualization: A survey. CoRR Anh Nguyen, Jason Yosinski, Jeff Clune
2018	J	`jnl`	An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman
2018	J	`jnl`	Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proc. Natl. Acad. Sci. USA Mohammad Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Alexandra Swanson, Meredith S. Palmer, Craig Packer, Jeff Clune
2018	J	`jnl`	Deep Curiosity Search: Intra-Life Exploration Improves Performance on Challenging Deep Reinforcement Learning Problems. CoRR Christopher Stanton, Jeff Clune
2018	A*	`conf`	Differentiable plasticity: training plastic neural networks with backpropagation. ICML Thomas Miconi, Kenneth O. Stanley, Jeff Clune
2018	J	`jnl`	Differentiable plasticity: training plastic neural networks with backpropagation. CoRR Thomas Miconi, Jeff Clune, Kenneth O. Stanley
2018	A	`conf`	ES is more than just a traditional finite-difference approximator. GECCO Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2018	J	`jnl`	Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm. CoRR Joost Huizinga, Jeff Clune
2018	A*	`conf`	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2018	J	`jnl`	Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. CoRR Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine
2018	A	`conf`	Safe mutations for deep and recurrent neural networks through output gradients. GECCO Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2018	J	`jnl`	The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. Artif. Life Joost Huizinga, Kenneth O. Stanley, Jeff Clune
2018	C	`conf`	The Surprising Creativity of Digital Evolution. ALIFE Joel Lehman, Jeff Clune, Dusan Misevic
2018	J	`jnl`	The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR Joel Lehman, Jeff Clune, Dusan Misevic, Christoph Adami, Lee Altenberg, Julie Beaulieu, Peter J. Bentley, Samuel Bernard, Guillaume Beslon, David M. Bryson, Patryk Chrabaszcz, Nick Cheney, Antoine Cully, Stéphane Doncieux, Fred C. Dyer, Kai Olav Ellefsen, Robert Feldt, Stephan Fischer, Stephanie Forrest, Antoine Frénoy, Christian Gagné, Leni K. Le Goff, Laura M. Grabowski, Babak Hodjat, Frank Hutter, Laurent Keller, Carole Knibbe, Peter Krcah, Richard E. Lenski, Hod Lipson, Robert MacCurdy, Carlos Maestre, Risto Miikkulainen, Sara Mitri, David E. Moriarty, Jean-Baptiste Mouret, Anh Nguyen, Charles Ofria, Marc Parizeau, David P. Parsons, Robert T. Pennock, William F. Punch, Thomas S. Ray, Marc Schoenauer, Eric Schulte, Karl Sims, Kenneth O. Stanley, François Taddei, Danesh Tarapore, Simon Thibault, Westley Weimer, Richard A. Watson, Jason Yosinski
2018	J	`jnl`	VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution. CoRR Rui Wang, Jeff Clune, Kenneth O. Stanley
2018	—	`conf`	VINE: an open source interactive data visualization tool for neuroevolution. GECCO (Companion) Rui Wang, Jeff Clune, Kenneth O. Stanley
2017	J	`jnl`	Automatically identifying wild animals in camera trap images with deep learning. CoRR Mohammad Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Ali Swanson, Craig Packer, Jeff Clune
2017	J	`jnl`	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	J	`jnl`	Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks. CoRR Roby Velez, Jeff Clune
2017	J	`jnl`	ES Is More Than Just a Traditional Finite-Difference Approximator. CoRR Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2017	J	`jnl`	How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation. PLoS Comput. Biol. Kostas Kouvaris, Jeff Clune, Loizos Kounios, Markus Brede, Richard A. Watson
2017	J	`jnl`	Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune
2017	J	`jnl`	On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent. CoRR Xingwen Zhang, Jeff Clune, Kenneth O. Stanley
2017	A*	`conf`	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CVPR Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski
2017	J	`jnl`	Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients. CoRR Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
2017	J	`jnl`	The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. CoRR Joost Huizinga, Kenneth O. Stanley, Jeff Clune
2016	A*	`conf`	Convergent Learning: Do different neural networks learn the same representations? ICLR Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
2016	C	`conf`	Creative Generation of 3D Objects with Deep Learning and Innovation Engines. ICCC Joel Lehman, Sebastian Risi, Jeff Clune
2016	A	`conf`	Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks? GECCO Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune
2016	A	`conf`	Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It. GECCO Henok Mengistu, Joel Lehman, Jeff Clune
2016	A	`conf`	How do Different Encodings Influence the Performance of the MAP-Elites Algorithm? GECCO Danesh Tarapore, Jeff Clune, Antoine Cully, Jean-Baptiste Mouret
2016	A	`conf`	Identifying Core Functional Networks and Functional Modules within Artificial Neural Networks via Subsets Regression. GECCO Roby Velez, Jeff Clune
2016	J	`jnl`	Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks. CoRR Anh Mai Nguyen, Jason Yosinski, Jeff Clune
2016	A	`conf`	Neuromodulation Improves the Evolution of Forward Models. GECCO Mohammad Sadegh Norouzzadeh, Jeff Clune
2016	J	`jnl`	Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CoRR Anh Nguyen, Jason Yosinski, Yoshua Bengio, Alexey Dosovitskiy, Jeff Clune
2016	—	`conf`	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. NIPS Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
2016	J	`jnl`	Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. CoRR Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune
2016	J	`jnl`	The Evolutionary Origins of Hierarchy. PLoS Comput. Biol. Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune
2016	J	`jnl`	Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. Evol. Comput. Anh Nguyen, Jason Yosinski, Jeff Clune
2016	J	`jnl`	WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web. Artif. Life Tim Taylor, Joshua Evan Auerbach, Josh C. Bongard, Jeff Clune, Simon J. Hickinbotham, Charles Ofria, Mizuki Oka, Sebastian Risi, Kenneth O. Stanley, Jason Yosinski
2015	Misc	`conf`	A method to improve signal quality in wireless ad-hoc networks with limited mobility. ICNC Nicholas J. Gurbhoo, Robert F. Kubichek, Suresh Muknahallipatna, Jeff Clune
2015	—	`conf`	Convergent Learning: Do different neural networks learn the same representations? FE@NIPS Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
2015	A*	`conf`	Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. CVPR Anh Mai Nguyen, Jason Yosinski, Jeff Clune
2015	J	`jnl`	Illuminating search spaces by mapping elites. CoRR Jean-Baptiste Mouret, Jeff Clune
2015	A	`conf`	Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. GECCO Anh Mai Nguyen, Jason Yosinski, Jeff Clune
2015	J	`jnl`	Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills. PLoS Comput. Biol. Kai Olav Ellefsen, Jean-Baptiste Mouret, Jeff Clune
2015	J	`jnl`	Robots that can adapt like animals. Nat. Antoine Cully, Jeff Clune, Danesh Tarapore, Jean-Baptiste Mouret
2015	J	`jnl`	The evolutionary origins of hierarchy. CoRR Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune
2015	J	`jnl`	Understanding Neural Networks Through Deep Visualization. CoRR Jason Yosinski, Jeff Clune, Anh Mai Nguyen, Thomas J. Fuchs, Hod Lipson
2014	J	`jnl`	An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI. IEEE Intell. Syst. Joel Lehman, Jeff Clune, Sebastian Risi
2014	A	`conf`	Automated generation of environments to test the general learning capabilities of AI agents. GECCO Oliver J. Coleman, Alan D. Blair, Jeff Clune
2014	J	`jnl`	Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images. CoRR Anh Mai Nguyen, Jason Yosinski, Jeff Clune
2014	A	`conf`	Encouraging creative thinking in robots improves their ability to solve challenging problems. GECCO Jingyu Li, Jed Storie, Jeff Clune
2014	C	`conf`	Evolved Electrophysiological Soft Robots. ALIFE Nicholas Cheney, Jeff Clune, Hod Lipson
2014	A	`conf`	Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique. GECCO Joost Huizinga, Jeff Clune, Jean-Baptiste Mouret
2014	—	`conf`	How transferable are features in deep neural networks? NIPS Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson
2014	J	`jnl`	How transferable are features in deep neural networks? CoRR Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson
2014	A	`conf`	Novelty search creates robots with general skills for exploration. GECCO Roby Velez, Jeff Clune
2014	J	`jnl`	Reports on the 2013 AAAI Fall Symposium Series. AI Mag. Gully Burns, Yolanda Gil, Yan Liu, Natalia Villanueva-Rosales, Sebastian Risi, Joel Lehman, Jeff Clune, Christian Lebiere, Paul S. Rosenbloom, Frank van Harmelen, James A. Hendler, Pascal Hitzler, Krzysztof Janowicz, Samarth Swarup
2014	J	`jnl`	Robots that can adapt like natural animals. CoRR Antoine Cully, Jeff Clune, Jean-Baptiste Mouret
2014	C	`conf`	Summary of "The Evolutionary Origins of Modularity". ALIFE Jeff Clune, Jean-Baptiste Mouret, Hod Lipson
2013	B	`conf`	Evolving Gaits for Physical Robots with the HyperNEAT Generative Encoding: The Benefits of Simulation. EvoApplications Suchan Lee, Jason Yosinski, Kyrre Glette, Hod Lipson, Jeff Clune
2013	J	`jnl`	Hands-free Evolution of 3D-printable Objects via Eye Tracking CoRR Nick Cheney, Jeff Clune, Jason Yosinski, Hod Lipson
2013	—	`conf`	Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes. GECCO (Companion) Jeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjuán
2013	—	`conf`	Organizing Committee. AAAI Fall Symposia Sebastian Risi, Joel Lehman, Jeff Clune
2013	—	`conf`	Preface. AAAI Fall Symposia Sebastian Risi, Joel Lehman, Jeff Clune
2013	—	`conf`	Summary of "the evolutionary origins of modularity". GECCO (Companion) Jeff Clune, Jean-Baptiste Mouret, Hod Lipson
2013	A	`conf`	Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding. GECCO Nick Cheney, Robert MacCurdy, Jeff Clune, Hod Lipson
2013	B	`conf`	Upload any object and evolve it: Injecting complex geometric patterns into CPPNS for further evolution. IEEE Congress on Evolutionary Computation Jeff Clune, Anthony Chen, Hod Lipson
2012	C	`conf`	Aracna: An Open-Source Quadruped Platform for Evolutionary Robotics. ALIFE Sara Lohmann, Jason Yosinski, Eric Gold, Jeff Clune, Jeremy Blum, Hod Lipson
2012	J	`jnl`	The evolutionary origins of modularity CoRR Jeff Clune, Jean-Baptiste Mouret, Hod Lipson
2011	A	`conf`	A novel generative encoding for evolving modular, regular and scalable networks. GECCO Marcin Suchorzewski, Jeff Clune
2011	—	`conf`	Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization. ECAL Jason Yosinski, Jeff Clune, Diana Hidalgo, Sarah Nguyen, Juan Cristóbal Zagal, Hod Lipson
2011	—	`conf`	Evolving three-dimensional objects with a generative encoding inspired by developmental biology. ECAL Jeff Clune, Hod Lipson
2011	—	`conf`	Generating gaits for physical quadruped robots: evolved neural networks vs. local parameterized search. GECCO (Companion) Jason Yosinski, Jeff Clune, Diana Hidalgo, Sarah Nguyen, Juan Cristóbal Zagal, Hod Lipson
2011	—	`conf`	Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes. ECAL Jeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjuán
2011	J	`jnl`	On the Performance of Indirect Encoding Across the Continuum of Regularity. IEEE Trans. Evol. Comput. Jeff Clune, Kenneth O. Stanley, Robert T. Pennock, Charles Ofria
2011	—	`conf`	Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory. ECAL Jeff Clune, Heather J. Goldsby, Charles Ofria, Robert T. Pennock
2010	—	`conf`	Digital evolution with avida. GECCO (Companion) Benjamin E. Beckmann, Jeff Clune, Charles Ofria
2010	A	`conf`	Investigating whether hyperNEAT produces modular neural networks. GECCO Jeff Clune, Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria
2009	B	`conf`	Evolving coordinated quadruped gaits with the HyperNEAT generative encoding. IEEE Congress on Evolutionary Computation Jeff Clune, Benjamin E. Beckmann, Charles Ofria, Robert T. Pennock
2009	—	`conf`	HybrID: A Hybridization of Indirect and Direct Encodings for Evolutionary Computation. ECAL (2) Jeff Clune, Benjamin E. Beckmann, Robert T. Pennock, Charles Ofria
2009	A	`conf`	Problem decomposition using indirect reciprocity in evolved populations. GECCO Heather Goldsby, Sherri Goings, Jeff Clune, Charles Ofria
2009	—	`conf`	The Evolution of Division of Labor. ECAL (2) Heather Goldsby, David B. Knoester, Jeff Clune, Philip K. McKinley, Charles Ofria
2009	A	`conf`	The sensitivity of HyperNEAT to different geometric representations of a problem. GECCO Jeff Clune, Charles Ofria, Robert T. Pennock
2008	A	`conf`	How a Generative Encoding Fares as Problem-Regularity Decreases. PPSN Jeff Clune, Charles Ofria, Robert T. Pennock
2008	A	`conf`	How generative encodings fare on less regular problems. GECCO Jeff Clune, Charles Ofria, Robert T. Pennock
2008	J	`jnl`	Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes. PLoS Comput. Biol. Jeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjuán
2007	—	`conf`	Investigating the Emergence of Phenotypic Plasticity in Evolving Digital Organisms. ECAL Jeff Clune, Charles Ofria, Robert T. Pennock
2005	—	`conf`	Investigations in meta-GAs: panaceas or pipe dreams? GECCO Workshops Jeff Clune, Sherri Goings, Bill Punch, Eric Goodman