Jeff Clune

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 86

Top Venues

CoRR

GECCO

ALIFE

Artif. Life

Publications

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 (2024)
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 (2024)
Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
OMNI: Open-endedness via Models of human Notions of Interestingness. ICLR (2024)
Cong Lu, Shengran Hu, Jeff Clune
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models. CoRR (2024)
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)
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 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. CoRR (2024)
Li Ding, Jenny Zhang, Jeff Clune, Lee Spector, Joel Lehman
Quality Diversity through Human Feedback. CoRR (2023)
Jenny Zhang, Joel Lehman, Kenneth O. Stanley, Jeff Clune
OMNI: Open-endedness via Models of human Notions of Interestingness. CoRR (2023)
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 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 (2023)
Shengran Hu, Jeff Clune
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking. NeurIPS (2023)
Shengran Hu, Jeff Clune
Thought Cloning: Learning to Think while Acting by Imitating Human Thinking. CoRR (2023)
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 (2023)
Lapo Frati, Neil Traft, Jeff Clune, Nick Cheney
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning. CoRR (2023)
Ben Norman, Jeff Clune
First-Explore, then Exploit: Meta-Learning Intelligent Exploration. CoRR (2023)
Bowen Baker, Ilge Akkaya, Peter Zhokov, 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)
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) (2022)
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 (2022)
Joost Huizinga, Jeff Clune
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multiobjective Evolutionary Algorithm. Evol. Comput. 30 (2) (2022)
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 (2021)
Shawn L. Beaulieu, Jeff Clune, Nick Cheney
Continual learning under domain transfer with sparse synaptic bursting. CoRR (2021)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
First return, then explore. Nat. 590 (7847) (2021)
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 (2020)
Aditya Rawal, Joel Lehman, Felipe Petroski Such, Jeff Clune, Kenneth O. Stanley
Synthetic Petri Dish: A Novel Surrogate Model for Rapid Architecture Search. CoRR (2020)
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 (2020)
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
Learning to Continually Learn. ECAI (2020)
Shawn Beaulieu, Lapo Frati, Thomas Miconi, Joel Lehman, Kenneth O. Stanley, Jeff Clune, Nick Cheney
Learning to Continually Learn. CoRR (2020)
Cédric Colas, Joost Huizinga, Vashisht Madhavan, Jeff Clune
Scaling MAP-Elites to Deep Neuroevolution. CoRR (2020)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
First return then explore. CoRR (2020)
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) (2020)
Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. CoRR (2020)
Adrien Ecoffet, Jeff Clune, Joel Lehman
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. ALIFE (2020)
Adrien Ecoffet, Jeff Clune, Joel Lehman
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity. CoRR (2020)
Cédric Colas, Vashisht Madhavan, Joost Huizinga, Jeff Clune
Scaling MAP-Elites to deep neuroevolution. GECCO (2020)
Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. ICRA (2019)
Adrien Ecoffet, Joost Huizinga, Joel Lehman, Kenneth O. Stanley, Jeff Clune
Go-Explore: a New Approach for Hard-Exploration Problems. CoRR (2019)
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
Evolvability ES: scalable and direct optimization of evolvability. GECCO (2019)
Jeff Clune
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence. CoRR (2019)
Rui Wang, Joel Lehman, Jeff Clune, Kenneth O. Stanley
POET: open-ended coevolution of environments and their optimized solutions. GECCO (2019)
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)
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 (2019)
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 (2019)
Alexander Gajewski, Jeff Clune, Kenneth O. Stanley, Joel Lehman
Evolvability ES: Scalable and Direct Optimization of Evolvability. CoRR (2019)
Thomas Miconi, Aditya Rawal, Jeff Clune, Kenneth O. Stanley
Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity. ICLR (Poster) (2019)
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)
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 (2019)
Anh Nguyen, Jason Yosinski, Jeff Clune
Understanding Neural Networks via Feature Visualization: A survey. CoRR (2019)
Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1 (1) (2019)
Thomas Miconi, Kenneth O. Stanley, Jeff Clune
Differentiable plasticity: training plastic neural networks with backpropagation. ICML (2018)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
Safe mutations for deep and recurrent neural networks through output gradients. GECCO (2018)
Rui Wang, Jeff Clune, Kenneth O. Stanley
VINE: An Open Source Interactive Data Visualization Tool for Neuroevolution. CoRR (2018)
Joel Lehman, Jeff Clune, Dusan Misevic
The Surprising Creativity of Digital Evolution. ALIFE (2018)
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) (2018)
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 (2018)
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 (2018)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
ES is more than just a traditional finite-difference approximator. GECCO (2018)
Thomas Miconi, Jeff Clune, Kenneth O. Stanley
Differentiable plasticity: training plastic neural networks with backpropagation. CoRR (2018)
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)
Christopher Stanton, Jeff Clune
Deep Curiosity Search: Intra-Life Exploration Improves Performance on Challenging Deep Reinforcement Learning Problems. CoRR (2018)
Rui Wang, Jeff Clune, Kenneth O. Stanley
VINE: an open source interactive data visualization tool for neuroevolution. GECCO (Companion) (2018)
Joost Huizinga, Jeff Clune
Evolving Multimodal Robot Behavior via Many Stepping Stones with the Combinatorial Multi-Objective Evolutionary Algorithm. CoRR (2018)
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)
Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty. CoRR (2018)
Xingwen Zhang, Jeff Clune, Kenneth O. Stanley
On the Relationship Between the OpenAI Evolution Strategy and Stochastic Gradient Descent. CoRR (2017)
Roby Velez, Jeff Clune
Diffusion-based neuromodulation can eliminate catastrophic forgetting in simple neural networks. CoRR (2017)
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)
Joost Huizinga, Kenneth O. Stanley, Jeff Clune
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System. CoRR (2017)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
Safe Mutations for Deep and Recurrent Neural Networks through Output Gradients. CoRR (2017)
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 (2017)
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 (2017)
Joel Lehman, Jay Chen, Jeff Clune, Kenneth O. Stanley
ES Is More Than Just a Traditional Finite-Difference Approximator. CoRR (2017)
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 (2017)
Anh Nguyen, Jeff Clune, Yoshua Bengio, Alexey Dosovitskiy, Jason Yosinski
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CVPR (2017)
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)
Anh Nguyen, Jason Yosinski, Jeff Clune
Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. Evol. Comput. 24 (3) (2016)
Danesh Tarapore, Jeff Clune, Antoine Cully, Jean-Baptiste Mouret
How do Different Encodings Influence the Performance of the MAP-Elites Algorithm? GECCO (2016)
Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune
Does Aligning Phenotypic and Genotypic Modularity Improve the Evolution of Neural Networks? GECCO (2016)
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 (2016)
Mohammad Sadegh Norouzzadeh, Jeff Clune
Neuromodulation Improves the Evolution of Forward Models. GECCO (2016)
Joel Lehman, Sebastian Risi, Jeff Clune
Creative Generation of 3D Objects with Deep Learning and Innovation Engines. ICCC (2016)
Roby Velez, Jeff Clune
Identifying Core Functional Networks and Functional Modules within Artificial Neural Networks via Subsets Regression. GECCO (2016)
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 (2016)
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
Convergent Learning: Do different neural networks learn the same representations? ICLR (2016)
Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune
The Evolutionary Origins of Hierarchy. PLoS Comput. Biol. 12 (6) (2016)
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) (2016)
Anh Nguyen, Jason Yosinski, Yoshua Bengio, Alexey Dosovitskiy, Jeff Clune
Plug & Play Generative Networks: Conditional Iterative Generation of Images in Latent Space. CoRR (2016)
Henok Mengistu, Joel Lehman, Jeff Clune
Evolvability Search: Directly Selecting for Evolvability in order to Study and Produce It. GECCO (2016)
Jean-Baptiste Mouret, Jeff Clune
Illuminating search spaces by mapping elites. CoRR (2015)
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)
Anh Mai Nguyen, Jason Yosinski, Jeff Clune
Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning. GECCO (2015)
Jason Yosinski, Jeff Clune, Anh Mai Nguyen, Thomas J. Fuchs, Hod Lipson
Understanding Neural Networks Through Deep Visualization. CoRR (2015)
Antoine Cully, Jeff Clune, Danesh Tarapore, Jean-Baptiste Mouret
Robots that can adapt like animals. Nat. 521 (7553) (2015)
Anh Mai Nguyen, Jason Yosinski, Jeff Clune
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images. CVPR (2015)
Henok Mengistu, Joost Huizinga, Jean-Baptiste Mouret, Jeff Clune
The evolutionary origins of hierarchy. CoRR (2015)
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)
Yixuan Li, Jason Yosinski, Jeff Clune, Hod Lipson, John E. Hopcroft
Convergent Learning: Do different neural networks learn the same representations? FE@NIPS (2015)
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) (2014)
Jeff Clune, Jean-Baptiste Mouret, Hod Lipson
Summary of "The Evolutionary Origins of Modularity". ALIFE (2014)
Antoine Cully, Jeff Clune, Jean-Baptiste Mouret
Robots that can adapt like natural animals. CoRR (2014)
Joel Lehman, Jeff Clune, Sebastian Risi
An Anarchy of Methods: Current Trends in How Intelligence Is Abstracted in AI. IEEE Intell. Syst. 29 (6) (2014)
Jingyu Li, Jed Storie, Jeff Clune
Encouraging creative thinking in robots improves their ability to solve challenging problems. GECCO (2014)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jeff Clune