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ORCIDJeff Clune
Jeffrey Clune
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- affiliation: University of Wyoming
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2020 – today
- 2024
[c68]Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney:
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. ECAI 2024: 2998-3005- [c67]Herbie Bradley, Andrew Dai, Hannah Benita Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. ICLR 2024 - [c66]Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR 2024 - [c65]Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman:
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization. ICML 2024 - [c64]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:
Genie: Generative Interactive Environments. ICML 2024 - [i58]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:
Genie: Generative Interactive Environments. CoRR abs/2402.15391 (2024) - [i57]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:
Scaling Instructable Agents Across Many Simulated Worlds. CoRR abs/2404.10179 (2024) - [i56]Cong Lu, Shengran Hu, Jeff Clune:
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. CoRR abs/2405.15143 (2024) - [i55]Maxence Faldor, Jenny Zhang, Antoine Cully, Jeff Clune:
OMNI-EPIC: Open-endedness via Models of human Notions of Interestingness with Environments Programmed in Code. CoRR abs/2405.15568 (2024) - [i54]Chris Lu, Cong Lu, Robert Tjarko Lange, Jakob Foerster, Jeff Clune, David Ha:
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery. CoRR abs/2408.06292 (2024) - [i53]Shengran Hu, Cong Lu, Jeff Clune:
Automated Design of Agentic Systems. CoRR abs/2408.08435 (2024) - 2023
- [c63]Shengran Hu, Jeff Clune:
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking. NeurIPS 2023 - [i52]Shengran Hu, Jeff Clune:
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking. CoRR abs/2306.00323 (2023) - [i51]Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR abs/2306.01711 (2023) - [i50]Ben Norman, Jeff Clune:
First-Explore, then Exploit: Meta-Learning Intelligent Exploration. CoRR abs/2307.02276 (2023) - [i49]Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney:
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. CoRR abs/2310.07996 (2023) - [i48]Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman:
Quality Diversity through Human Feedback. CoRR abs/2310.12103 (2023) - [i47]Herbie Bradley, Andrew Dai, Hannah Teufel, Jenny Zhang, Koen Oostermeijer, Marco Bellagente, Jeff Clune, Kenneth O. Stanley, Grégory Schott, Joel Lehman:
Quality-Diversity through AI Feedback. CoRR abs/2310.13032 (2023) - [i46]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:
Managing AI Risks in an Era of Rapid Progress. CoRR abs/2310.17688 (2023) - 2022
- [j17]Joost Huizinga, Jeff Clune:
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multiobjective Evolutionary Algorithm. Evol. Comput. 30(2): 131-164 (2022) - [j16]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:
Biological underpinnings for lifelong learning machines. Nat. Mach. Intell. 4(3): 196-210 (2022) - [c62]Bowen Baker, Ilge Akkaya, Peter Zhokhov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune:
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos. NeurIPS 2022 - [i45]Bowen Baker, Ilge Akkaya, Peter Zhokhov, Joost Huizinga, Jie Tang, Adrien Ecoffet, Brandon Houghton, Raul Sampedro, Jeff Clune:
Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos. CoRR abs/2206.11795 (2022) - 2021
- [j15]Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
First return, then explore. Nat. 590(7847): 580-586 (2021) - [i44]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:
Multi-task curriculum learning in a complex, visual, hard-exploration domain: Minecraft. CoRR abs/2106.14876 (2021) - [i43]Shawn L. Beaulieu, Jeff Clune, Nick Cheney:
Continual learning under domain transfer with sparse synaptic bursting. CoRR abs/2108.12056 (2021) - 2020
- [j14]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:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. Artif. Life 26(2): 274-306 (2020) - [c61]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. ECAI 2020: 992-1001 - [c60]Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune:
Scaling MAP-Elites to deep neuroevolution. GECCO 2020: 67-75 - [c59]Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeffrey Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. ICML 2020: 9206-9216 - [c58]Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeffrey Clune, Kenneth O. Stanley:
Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. ICML 2020: 9940-9951 - [c57]Adrien Ecoffet, Jeff Clune, Joel Lehman:
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. ALIFE 2020: 27-35 - [i42]Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney:
Learning to Continually Learn. CoRR abs/2002.09571 (2020) - [i41]Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley:
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. CoRR abs/2002.10585 (2020) - [i40]Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune:
Scaling MAP-Elites to Deep Neuroevolution. CoRR abs/2003.01825 (2020) - [i39]Rui Wang, Joel Lehman, Aditya Rawal, Jiale Zhi, Yulun Li, Jeff Clune, Kenneth O. Stanley:
Enhanced POET: Open-Ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions. CoRR abs/2003.08536 (2020) - [i38]Jiale Zhi, Rui Wang, Jeff Clune, Kenneth O. Stanley:
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods. CoRR abs/2003.11164 (2020) - [i37]Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
First return then explore. CoRR abs/2004.12919 (2020) - [i36]Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley:
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR abs/2005.13092 (2020) - [i35]Adrien Ecoffet, Jeff Clune, Joel Lehman:
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. CoRR abs/2006.07495 (2020)
2010 – 2019
- 2019
- [j13]Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen:
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1(1): 24-35 (2019) - [c56]Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman:
Evolvability ES: scalable and direct optimization of evolvability. GECCO 2019: 107-115 - [c55]Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley:
POET: open-ended coevolution of environments and their optimized solutions. GECCO 2019: 142-151 - [c54]Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley:
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. ICLR (Poster) 2019 - [c53]Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine:
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. ICRA 2019: 2083-2089 - [c52]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:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. IJCAI 2019: 3260-3267 - [p1]Anh Nguyen, Jason Yosinski, Jeff Clune:
Understanding Neural Networks via Feature Visualization: A Survey. Explainable AI 2019: 55-76 - [i34]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:
Commonsense and Semantic-Guided Navigation through Language in Embodied Environment. ViGIL@NeurIPS 2019 - [i33]Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley:
Paired Open-Ended Trailblazer (POET): Endlessly Generating Increasingly Complex and Diverse Learning Environments and Their Solutions. CoRR abs/1901.01753 (2019) - [i32]Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Go-Explore: a New Approach for Hard-Exploration Problems. CoRR abs/1901.10995 (2019) - [i31]Anh Nguyen, Jason Yosinski, Jeff Clune:
Understanding Neural Networks via Feature Visualization: A survey. CoRR abs/1904.08939 (2019) - [i30]Jeff Clune:
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence. CoRR abs/1905.10985 (2019) - [i29]Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman:
Evolvability ES: Scalable and Direct Optimization of Evolvability. CoRR abs/1907.06077 (2019) - [i28]Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, Jeff Clune:
A deep active learning system for species identification and counting in camera trap images. CoRR abs/1910.09716 (2019) - [i27]Felipe Petroski Such, Aditya Rawal, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data. CoRR abs/1912.07768 (2019) - 2018
- [j12]Joost Huizinga, Kenneth O. Stanley, Jeff Clune:
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. Artif. Life 24(3) (2018) - [j11]Mohammad Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Alexandra Swanson, Meredith S. Palmer, Craig Packer, Jeff Clune:
Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning. Proc. Natl. Acad. Sci. USA 115(25): E5716-E5725 (2018) - [c51]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
Safe mutations for deep and recurrent neural networks through output gradients. GECCO 2018: 117-124 - [c50]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
ES is more than just a traditional finite-difference approximator. GECCO 2018: 450-457 - [c49]Rui Wang, Jeff Clune, Kenneth O. Stanley:
VINE: an open source interactive data visualization tool for neuroevolution. GECCO (Companion) 2018: 1562-1564 - [c48]Thomas Miconi, Kenneth O. Stanley, Jeff Clune:
Differentiable plasticity: training plastic neural networks with backpropagation. ICML 2018: 3556-3565 - [c47]Joel Lehman, Jeff Clune, Dusan Misevic:
The Surprising Creativity of Digital Evolution. ALIFE 2018: 55-56 - [c46]Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. NeurIPS 2018: 5032-5043 - [i26]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:
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities. CoRR abs/1803.03453 (2018) - [i25]Thomas Miconi, Jeff Clune, Kenneth O. Stanley:
Differentiable plasticity: training plastic neural networks with backpropagation. CoRR abs/1804.02464 (2018) - [i24]Rui Wang, Jeff Clune, Kenneth O. Stanley:
VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution. CoRR abs/1805.01141 (2018) - [i23]Christopher Stanton, Jeff Clune:
Deep Curiosity Search: Intra-Life Exploration Improves Performance on Challenging Deep Reinforcement Learning Problems. CoRR abs/1806.00553 (2018) - [i22]Joost Huizinga, Jeff Clune:
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm. CoRR abs/1807.03392 (2018) - [i21]Felipe Petroski Such, Vashisht Madhavan, Rosanne Liu, Rui Wang, Pablo Samuel Castro, Yulun Li, Ludwig Schubert, Marc G. Bellemare, Jeff Clune, Joel Lehman:
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents. CoRR abs/1812.07069 (2018) - [i20]Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine:
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. CoRR abs/1812.10687 (2018) - 2017
- [j10]Kostas Kouvaris, Jeff Clune, Loizos Kounios, Markus Brede, Richard A. Watson:
How evolution learns to generalise: Using the principles of learning theory to understand the evolution of developmental organisation. PLoS Comput. Biol. 13(4) (2017) - [c45]Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski:
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CVPR 2017: 3510-3520 - [i19]Mohammad Sadegh Norouzzadeh, Anh Nguyen, Margaret Kosmala, Ali Swanson, Craig Packer, Jeff Clune:
Automatically identifying wild animals in camera trap images with deep learning. CoRR abs/1703.05830 (2017) - [i18]Joost Huizinga, Kenneth O. Stanley, Jeff Clune:
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. CoRR abs/1704.05143 (2017) - [i17]Roby Velez, Jeff Clune:
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks. CoRR abs/1705.07241 (2017) - [i16]Edoardo Conti, Vashisht Madhavan, Felipe Petroski Such, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents. CoRR abs/1712.06560 (2017) - [i15]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients. CoRR abs/1712.06563 (2017) - [i14]Xingwen Zhang, Jeff Clune, Kenneth O. Stanley:
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent. CoRR abs/1712.06564 (2017) - [i13]Felipe Petroski Such, Vashisht Madhavan, Edoardo Conti, Joel Lehman, Kenneth O. Stanley, Jeff Clune:
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. CoRR abs/1712.06567 (2017) - [i12]Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley:
ES Is More Than Just a Traditional Finite-Difference Approximator. CoRR abs/1712.06568 (2017) - 2016
- [j9]Tim Taylor, Joshua Evan Auerbach, Josh C. Bongard, Jeff Clune, Simon J. Hickinbotham, Charles Ofria, Mizuki Oka, Sebastian Risi, Kenneth O. Stanley, Jason Yosinski:
WebAL Comes of Age: A Review of the First 21 Years of Artificial Life on the Web. Artif. Life 22(3): 364-407 (2016) - [j8]Anh Nguyen, Jason Yosinski, Jeff Clune:
Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. Evol. Comput. 24(3): 545-572 (2016) - [j7]Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune:
The Evolutionary Origins of Hierarchy. PLoS Comput. Biol. 12(6) (2016) - [c44]Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune:
Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks? GECCO 2016: 125-132 - [c43]Henok Mengistu, Joel Lehman, Jeff Clune:
Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It. GECCO 2016: 141-148 - [c42]Mohammad Sadegh Norouzzadeh, Jeff Clune:
Neuromodulation Improves the Evolution of Forward Models. GECCO 2016: 157-164 - [c41]Danesh Tarapore, Jeff Clune, Antoine Cully, Jean-Baptiste Mouret:
How do Different Encodings Influence the Performance of the MAP-Elites Algorithm? GECCO 2016: 173-180 - [c40]Roby Velez, Jeff Clune:
Identifying Core Functional Networks and Functional Modules within Artificial Neural Networks via Subsets Regression. GECCO 2016: 181-188 - [c39]Joel Lehman, Sebastian Risi, Jeff Clune:
Creative Generation of 3D Objects with Deep Learning and Innovation Engines. ICCC 2016: 180-187 - [c38]Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune:
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. NIPS 2016: 3387-3395 - [c37]Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft:
Convergent Learning: Do different neural networks learn the same representations? ICLR 2016 - [i11]Anh Mai Nguyen, Jason Yosinski, Jeff Clune:
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks. CoRR abs/1602.03616 (2016) - [i10]Anh Mai Nguyen, Alexey Dosovitskiy, Jason Yosinski, Thomas Brox, Jeff Clune:
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks. CoRR abs/1605.09304 (2016) - [i9]Anh Nguyen, Jason Yosinski, Yoshua Bengio, Alexey Dosovitskiy, Jeff Clune:
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CoRR abs/1612.00005 (2016) - 2015
- [j6]Antoine Cully, Jeff Clune, Danesh Tarapore, Jean-Baptiste Mouret:
Robots that can adapt like animals. Nat. 521(7553): 503-507 (2015) - [j5]Kai Olav Ellefsen, Jean-Baptiste Mouret, Jeff Clune:
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills. PLoS Comput. Biol. 11(4) (2015) - [c36]Anh Mai Nguyen, Jason Yosinski, Jeff Clune:
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. CVPR 2015: 427-436 - [c35]Anh Mai Nguyen, Jason Yosinski, Jeff Clune:
Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. GECCO 2015: 959-966 - [c34]Nicholas J. Gurbhoo, Robert F. Kubichek, Suresh Muknahallipatna, Jeff Clune:
A method to improve signal quality in wireless ad-hoc networks with limited mobility. ICNC 2015: 171-175 - [c33]Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft:
Convergent Learning: Do different neural networks learn the same representations? FE@NIPS 2015: 196-212 - [i8]Jean-Baptiste Mouret, Jeff Clune:
Illuminating search spaces by mapping elites. CoRR abs/1504.04909 (2015) - [i7]Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune:
The evolutionary origins of hierarchy. CoRR abs/1505.06353 (2015) - [i6]Jason Yosinski, Jeff Clune, Anh Mai Nguyen, Thomas J. Fuchs, Hod Lipson:
Understanding Neural Networks Through Deep Visualization. CoRR abs/1506.06579 (2015) - 2014
- [j4]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:
Reports on the 2013 AAAI Fall Symposium Series. AI Mag. 35(2): 69-74 (2014) - [j3]Joel Lehman, Jeff Clune, Sebastian Risi:
An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI. IEEE Intell. Syst. 29(6): 56-62 (2014) - [c32]Jeff Clune, Jean-Baptiste Mouret, Hod Lipson:
Summary of "The Evolutionary Origins of Modularity". ALIFE 2014: 41-42 - [c31]Nicholas Cheney, Jeff Clune, Hod Lipson:
Evolved Electrophysiological Soft Robots. ALIFE 2014: 222-229 - [c30]Oliver J. Coleman, Alan D. Blair, Jeff Clune:
Automated generation of environments to test the general learning capabilities of AI agents. GECCO 2014: 161-168 - [c29]Jingyu Li, Jed Storie, Jeff Clune:
Encouraging creative thinking in robots improves their ability to solve challenging problems. GECCO 2014: 193-200 - [c28]Joost Huizinga, Jeff Clune, Jean-Baptiste Mouret:
Evolving neural networks that are both modular and regular: HyperNEAT plus the connection cost technique. GECCO 2014: 697-704 - [c27]Roby Velez, Jeff Clune:
Novelty search creates robots with general skills for exploration. GECCO 2014: 737-744 - [c26]Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson:
How transferable are features in deep neural networks? NIPS 2014: 3320-3328 - [i5]Antoine Cully, Jeff Clune, Jean-Baptiste Mouret:
Robots that can adapt like natural animals. CoRR abs/1407.3501 (2014) - [i4]Jason Yosinski, Jeff Clune, Yoshua Bengio, Hod Lipson:
How transferable are features in deep neural networks? CoRR abs/1411.1792 (2014) - [i3]Anh Mai Nguyen, Jason Yosinski, Jeff Clune:
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images. CoRR abs/1412.1897 (2014) - 2013
- [c25]Sebastian Risi, Joel Lehman, Jeff Clune:
Organizing Committee. AAAI Fall Symposia 2013 - [c24]Sebastian Risi, Joel Lehman, Jeff Clune:
Preface. AAAI Fall Symposia 2013 - [c23]Jeff Clune, Anthony Chen, Hod Lipson:
Upload any object and evolve it: Injecting complex geometric patterns into CPPNS for further evolution. IEEE Congress on Evolutionary Computation 2013: 3395-3402 - [c22]Suchan Lee, Jason Yosinski, Kyrre Glette, Hod Lipson, Jeff Clune:
Evolving Gaits for Physical Robots with the HyperNEAT Generative Encoding: The Benefits of Simulation. EvoApplications 2013: 540-549 - [c21]Jeff Clune, Jean-Baptiste Mouret, Hod Lipson:
Summary of "the evolutionary origins of modularity". GECCO (Companion) 2013: 23-24 - [c20]Jeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjuán:
Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes. GECCO (Companion) 2013: 25-26 - [c19]Nick Cheney, Robert MacCurdy, Jeff Clune, Hod Lipson:
Unshackling evolution: evolving soft robots with multiple materials and a powerful generative encoding. GECCO 2013: 167-174 - [i2]Nick Cheney, Jeff Clune, Jason Yosinski, Hod Lipson:
Hands-free Evolution of 3D-printable Objects via Eye Tracking. CoRR abs/1304.4889 (2013) - 2012
- [c18]Sara Lohmann, Jason Yosinski, Eric Gold, Jeff Clune, Jeremy Blum, Hod Lipson:
Aracna: An Open-Source Quadruped Platform for Evolutionary Robotics. ALIFE 2012 - [i1]Jeff Clune, Jean-Baptiste Mouret, Hod Lipson:
The evolutionary origins of modularity. CoRR abs/1207.2743 (2012) - 2011
- [j2]Jeff Clune, Kenneth O. Stanley, Robert T. Pennock, Charles Ofria:
On the Performance of Indirect Encoding Across the Continuum of Regularity. IEEE Trans. Evol. Comput. 15(3): 346-367 (2011) - [c17]Jeff Clune, Hod Lipson:
Evolving three-dimensional objects with a generative encoding inspired by developmental biology. ECAL 2011: 141-148 - [c16]Jeff Clune, Heather J. Goldsby, Charles Ofria, Robert T. Pennock:
Selective pressures for accurate altruism targeting: evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory. ECAL 2011: 149-150 - [c15]Jeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjuán:
Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes. ECAL 2011: 151-152 - [c14]Jason Yosinski, Jeff Clune, Diana Hidalgo, Sarah Nguyen, Juan Cristóbal Zagal, Hod Lipson:
Evolving robot gaits in hardware: the HyperNEAT generative encoding vs. parameter optimization. ECAL 2011: 890-897 - [c13]Jason Yosinski, Jeff Clune, Diana Hidalgo, Sarah Nguyen, Juan Cristóbal Zagal, Hod Lipson:
Generating gaits for physical quadruped robots: evolved neural networks vs. local parameterized search. GECCO (Companion) 2011: 31-32 - [c12]Marcin Suchorzewski, Jeff Clune:
A novel generative encoding for evolving modular, regular and scalable networks. GECCO 2011: 1523-1530 - 2010
- [c11]Jeff Clune, Benjamin E. Beckmann, Philip K. McKinley, Charles Ofria:
Investigating whether hyperNEAT produces modular neural networks. GECCO 2010: 635-642 - [c10]Benjamin E. Beckmann, Jeff Clune, Charles Ofria:
Digital evolution with avida. GECCO (Companion) 2010: 2917-2926
2000 – 2009
- 2009
- [c9]Jeff Clune, Benjamin E. Beckmann, Charles Ofria, Robert T. Pennock:
Evolving coordinated quadruped gaits with the HyperNEAT generative encoding. IEEE Congress on Evolutionary Computation 2009: 2764-2771 - [c8]Heather Goldsby, David B. Knoester, Jeff Clune, Philip K. McKinley, Charles Ofria:
The Evolution of Division of Labor. ECAL (2) 2009: 10-18 - [c7]Jeff Clune, Benjamin E. Beckmann, Robert T. Pennock, Charles Ofria:
HybrID: A Hybridization of Indirect and Direct Encodings for Evolutionary Computation. ECAL (2) 2009: 134-141 - [c6]Heather Goldsby, Sherri Goings, Jeff Clune, Charles Ofria:
Problem decomposition using indirect reciprocity in evolved populations. GECCO 2009: 105-112 - [c5]Jeff Clune, Charles Ofria, Robert T. Pennock:
The sensitivity of HyperNEAT to different geometric representations of a problem. GECCO 2009: 675-682 - 2008
- [j1]Jeff Clune, Dusan Misevic, Charles Ofria, Richard E. Lenski, Santiago F. Elena, Rafael Sanjuán:
Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes. PLoS Comput. Biol. 4(9) (2008) - [c4]Jeff Clune, Charles Ofria, Robert T. Pennock:
How generative encodings fare on less regular problems. GECCO 2008: 867-868 - [c3]Jeff Clune, Charles Ofria, Robert T. Pennock:
How a Generative Encoding Fares as Problem-Regularity Decreases. PPSN 2008: 358-367 - 2007
- [c2]Jeff Clune, Charles Ofria, Robert T. Pennock:
Investigating the Emergence of Phenotypic Plasticity in Evolving Digital Organisms. ECAL 2007: 74-83 - 2005
- [c1]Jeff Clune, Sherri Goings, Bill Punch, Eric Goodman:
Investigations in meta-GAs: panaceas or pipe dreams? GECCO Workshops 2005: 235-241
Coauthor Index
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