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ORCIDRisto Miikkulainen
Risto P. Miikkulainen
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- affiliation: University of Texas at Austin, USA
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2020 – today
- 2024
[j78]Risto Miikkulainen
:
Generative AI: An AI paradigm shift in the making? AI Mag. 45(1): 165-167 (2024)- [j77]Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen:
Domain-Independent Lifelong Problem Solving Through Distributed ALife Actors. Artif. Life 30(2): 259-276 (2024) - [j76]Jason Zhi Liang, Hormoz Shahrzad, Risto Miikkulainen:
Asynchronous evolution of deep neural network architectures. Appl. Soft Comput. 152: 111209 (2024) - [c213]Risto Miikkulainen:
Evolution of Neural Networks. GECCO Companion 2024: 928-945 - [c212]Jamieson Warner, Ashwin Devaraj, Risto Miikkulainen:
Using Context to Adapt to Sensor Drift. ICDL 2024: 1-7 - [c211]Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth L. McMillan, Risto Miikkulainen:
NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks. ICLR 2024 - [i57]Ashok Khanna, Olivier Francon, Risto Miikkulainen:
Optimizing the Design of an Artificial Pancreas to Improve Diabetes Management. CoRR abs/2402.07949 (2024) - [i56]Xin Qiu, Risto Miikkulainen:
Semantic Density: Uncertainty Quantification in Semantic Space for Large Language Models. CoRR abs/2405.13845 (2024) - [i55]Hormoz Shahrzad, Risto Miikkulainen:
GPU-Accelerated Rule Evaluation and Evolution. CoRR abs/2406.01821 (2024) - [i54]Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen:
Unlocking the Potential of Global Human Expertise. CoRR abs/2411.00156 (2024) - 2023
- [c210]Garrett Bingham, Risto Miikkulainen:
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. AAAI 2023: 6823-6833 - [c209]Hormoz Shahrzad, Risto P. Miikkulainen:
Accelerating Evolution Through Gene Masking and Distributed Search. GECCO 2023: 972-980 - [c208]Risto Miikkulainen:
Evolution of Neural Networks. GECCO Companion 2023: 1008-1025 - [c207]Xin Qiu, Risto Miikkulainen:
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. ICML 2023: 28422-28447 - [c206]Garrett Bingham, Risto Miikkulainen:
Efficient Activation Function Optimization through Surrogate Modeling. NeurIPS 2023 - [i53]Garrett Bingham, Risto Miikkulainen:
Efficient Activation Function Optimization through Surrogate Modeling. CoRR abs/2301.05785 (2023) - [i52]Hormoz Shahrzad, Risto Miikkulainen:
Accelerating Evolution Through Gene Masking and Distributed Search. CoRR abs/2302.06745 (2023) - [i51]Erkin Bahçeci, Riitta Katila, Risto Miikkulainen:
Evolving Strategies for Competitive Multi-Agent Search. CoRR abs/2306.10640 (2023) - [i50]Jason Zhi Liang, Hormoz Shahrzad, Risto Miikkulainen:
Asynchronous Evolution of Deep Neural Network Architectures. CoRR abs/2308.04102 (2023) - [i49]Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Babak Hodjat:
Discovering Effective Policies for Land-Use Planning. CoRR abs/2311.12304 (2023) - 2022
- [j75]Nora E. Aguirre-Celis, Risto Miikkulainen:
How the Brain Dynamically Constructs Sentence-Level Meanings From Word-Level Features. Frontiers Artif. Intell. 5: 733163 (2022) - [j74]Cameron Buckner, Risto Miikkulainen, Stephanie Forrest, Silvia Milano, James Zou, Carina Prunk, Christopher Irrgang, I. Glenn Cohen, Hao Su, Robin R. Murphy, Russell H. Taylor, Axel Krieger, Mirko Kovac, Jathan Sadowski, Vidushi Marda:
AI reflections in 2021. Nat. Mach. Intell. 4(1): 5-10 (2022) - [j73]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) - [j72]Garrett Bingham, Risto Miikkulainen:
Discovering Parametric Activation Functions. Neural Networks 148: 48-65 (2022) - [c205]Xin Qiu, Risto Miikkulainen:
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. AAAI 2022: 8017-8027 - [c204]Peggy Fidelman, Uli Grasemann, Claudia Peñaloza, Michael Scimeca, Yakeel T. Quiroz, Swathi Kiran, Risto Miikkulainen:
Constructing Individualized Computational Models for Dementia Patients. CogSci 2022 - [c203]Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone:
Effective mutation rate adaptation through group elite selection. GECCO 2022: 721-729 - [c202]Elliot Meyerson, Xin Qiu, Risto Miikkulainen:
Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). GECCO 2022: 739-748 - [c201]Risto Miikkulainen:
Evolution of neural networks. GECCO Companion 2022: 1020-1037 - [c200]Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen:
Evolving explainable rule sets. GECCO Companion 2022: 1779-1784 - [i48]Elliot Meyerson, Xin Qiu, Risto Miikkulainen:
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings). CoRR abs/2202.09679 (2022) - [i47]Babak Hodjat, Hormoz Shahrzad, Risto Miikkulainen:
DIAS: A Domain-Independent Alife-Based Problem-Solving System. CoRR abs/2203.06855 (2022) - [i46]Akarsh Kumar, Bo Liu, Risto Miikkulainen, Peter Stone:
Effective Mutation Rate Adaptation through Group Elite Selection. CoRR abs/2204.04817 (2022) - [i45]Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen:
Evolution of Transparent Explainable Rule-sets. CoRR abs/2204.10438 (2022) - [i44]Xin Qiu, Risto Miikkulainen:
Shortest Edit Path Crossover: A Theory-driven Solution to the Permutation Problem in Evolutionary Neural Architecture Search. CoRR abs/2210.14016 (2022) - 2021
- [j71]Risto Miikkulainen, Stephanie Forrest:
A biological perspective on evolutionary computation. Nat. Mach. Intell. 3(1): 9-15 (2021) - [j70]Risto Miikkulainen:
Creative AI Through Evolutionary Computation: Principles and Examples. SN Comput. Sci. 2(3): 163 (2021) - [j69]Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat:
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. IEEE Trans. Evol. Comput. 25(2): 386-401 (2021) - [c199]Cem Celal Tutum, Suhaib Abdulquddos, Risto Miikkulainen:
Generalization of Agent Behavior through Explicit Representation of Context. CoG 2021: 1-7 - [c198]Santiago Gonzalez, Risto Miikkulainen:
Optimizing loss functions through multi-variate taylor polynomial parameterization. GECCO 2021: 305-313 - [c197]Jason Zhi Liang, Santiago Gonzalez, Hormoz Shahrzad, Risto Miikkulainen:
Regularized evolutionary population-based training. GECCO 2021: 323-331 - [c196]Risto Miikkulainen:
Evolution of neural networks. GECCO Companion 2021: 426-442 - [c195]Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, Stephanie Manson Brown:
Evaluating medical aesthetics treatments through evolved age-estimation models. GECCO 2021: 1009-1017 - [c194]Elliot Meyerson, Risto Miikkulainen:
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. ICLR 2021 - [c193]Elizabeth Liner, Risto Miikkulainen:
Improving Neural Network Learning Through Dual Variable Learning Rates. IJCNN 2021: 1-7 - [i43]Santiago Gonzalez, Mohak Kant, Risto Miikkulainen:
Evolving GAN Formulations for Higher Quality Image Synthesis. CoRR abs/2102.08578 (2021) - [i42]Garrett Bingham, Risto Miikkulainen:
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks. CoRR abs/2109.08958 (2021) - [i41]Wenxi Wang, Yang Hu, Mohit Tiwari, Sarfraz Khurshid, Kenneth L. McMillan, Risto Miikkulainen:
NeuroComb: Improving SAT Solving with Graph Neural Networks. CoRR abs/2110.14053 (2021) - 2020
- [j68]Risto Miikkulainen, Myles Brundage, Jonathan Epstein, Tyler Foster, Babak Hodjat, Neil Iscoe, Jingbo Jiang, Diego Legrand, Sam Nazari, Xin Qiu, Michael Scharff, Cory Schoolland, Robert Severn, Aaron Shagrin:
Ascend by Evolv: AI-Based Massively Multivariate Conversion Rate Optimization. AI Mag. 41(1): 44-60 (2020) - [j67]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) - [c192]Santiago Gonzalez, Risto Miikkulainen:
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. CEC 2020: 1-8 - [c191]Jingbo Jiang, Diego Legrand, Robert Severn, Risto Miikkulainen:
A Comparison of the Taguchi Method and Evolutionary optimization in Multivariate Testing. CEC 2020: 1-6 - [c190]Padmini Rajagopalan, Kay E. Holekamp, Risto Miikkulainen:
Evolution of Complex Coordinated Behavior. CEC 2020: 1-8 - [c189]Xiruo Wang, Risto Miikkulainen:
MDEA: Malware Detection with Evolutionary Adversarial Learning. CEC 2020: 1-8 - [c188]Garrett Bingham, William Macke, Risto Miikkulainen:
Evolutionary optimization of deep learning activation functions. GECCO 2020: 289-296 - [c187]Risto Miikkulainen:
Evolution of neural networks. GECCO Companion 2020: 495-511 - [c186]Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad:
Effective reinforcement learning through evolutionary surrogate-assisted prescription. GECCO 2020: 814-822 - [c185]Xin Qiu, Elliot Meyerson, Risto Miikkulainen:
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. ICLR 2020 - [c184]Cem Celal Tutum, Risto Miikkulainen:
Adapting to Unseen Environments through Explicit Representation of Context. ALIFE 2020: 581-588 - [p4]Aditya Rawal, Jason Zhi Liang, Risto Miikkulainen:
Discovering Gated Recurrent Neural Network Architectures. Deep Neural Evolution 2020: 233-251 - [i40]Santiago Gonzalez, Risto Miikkulainen:
Evolving Loss Functions with Multivariate Taylor Polynomial Parameterizations. CoRR abs/2002.00059 (2020) - [i39]Xiruo Wang, Risto Miikkulainen:
MDEA: Malware Detection with Evolutionary Adversarial Learning. CoRR abs/2002.03331 (2020) - [i38]Elizabeth Liner, Risto Miikkulainen:
Improving Neural Network Learning Through Dual Variable Learning Rates. CoRR abs/2002.03428 (2020) - [i37]Jason Zhi Liang, Santiago Gonzalez, Risto Miikkulainen:
Population-Based Training for Loss Function Optimization. CoRR abs/2002.04225 (2020) - [i36]Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad:
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription. CoRR abs/2002.05368 (2020) - [i35]Cem Celal Tutum, Risto Miikkulainen:
Adapting to Unseen Environments through Explicit Representation of Context. CoRR abs/2002.05640 (2020) - [i34]Garrett Bingham, William Macke, Risto Miikkulainen:
Evolutionary Optimization of Deep Learning Activation Functions. CoRR abs/2002.07224 (2020) - [i33]J. Warner, A. Devaraj, Risto Miikkulainen:
Using context to make gas classifiers robust to sensor drift. CoRR abs/2003.07292 (2020) - [i32]Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat:
From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. CoRR abs/2005.13766 (2020) - [i31]Garrett Bingham, Risto Miikkulainen:
Discovering Parametric Activation Functions. CoRR abs/2006.03179 (2020) - [i30]Cem Celal Tutum, Suhaib Abdulquddos, Risto Miikkulainen:
Generalization of Agent Behavior through Explicit Representation of Context. CoRR abs/2006.11305 (2020) - [i29]Nora E. Aguirre-Celis, Risto Miikkulainen:
Characterizing the Effect of Sentence Context on Word Meanings: Mapping Brain to Behavior. CoRR abs/2007.13840 (2020) - [i28]Risto Miikkulainen:
Creative AI Through Evolutionary Computation: Principles and Examples. CoRR abs/2008.04212 (2020) - [i27]Santiago Gonzalez, Risto Miikkulainen:
Effective Regularization Through Loss-Function Metalearning. CoRR abs/2010.00788 (2020) - [i26]Xin Qiu, Risto Miikkulainen:
Detecting Misclassification Errors in Neural Networks with a Gaussian Process Model. CoRR abs/2010.02065 (2020) - [i25]Elliot Meyerson, Risto Miikkulainen:
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. CoRR abs/2010.02354 (2020)
2010 – 2019
- 2019
- [j66]Kenneth O. Stanley, Jeff Clune, Joel Lehman, Risto Miikkulainen:
Designing neural networks through neuroevolution. Nat. Mach. Intell. 1(1): 24-35 (2019) - [j65]Pei-Chi Huang, Luis Sentis, Joel Lehman, Chien-Liang Fok, Aloysius K. Mok, Risto Miikkulainen:
Tradeoffs in Neuroevolutionary Learning-Based Real-Time Robotic Task Design in the Imprecise Computation Framework. ACM Trans. Cyber Phys. Syst. 3(2): 14:1-14:29 (2019) - [c183]Alexander Braylan, Risto Miikkulainen:
Discretization of Game Space by Environment Attributes. KEG@AAAI 2019: 76-80 - [c182]Xin Qiu, Risto Miikkulainen:
Enhancing Evolutionary Conversion Rate Optimization via Multi-Armed Bandit Algorithms. AAAI 2019: 9581-9588 - [c181]Nora E. Aguirre-Celis, Risto Miikkulainen:
Quantifying the Conceptual Combination Effect on Word Meanings. CogSci 2019: 1324-1330 - [c180]Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen:
Enhanced optimization with composite objectives and novelty pulsation. GECCO (Companion) 2019: 231-232 - [c179]Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen:
Evolutionary neural AutoML for deep learning. GECCO 2019: 401-409 - [c178]Risto Miikkulainen:
Evolution of neural networks. GECCO (Companion) 2019: 694-709 - [c177]Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen:
Functional generative design of mechanisms with recurrent neural networks and novelty search. GECCO 2019: 1373-1380 - [c176]Kaitlin Maile, Manish Saggar, Risto Miikkulainen:
Implementing evolutionary optimization to model neural functional connectivity. GECCO (Companion) 2019: 1731-1733 - [c175]Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Pulsation. GPTP 2019: 275-293 - [c174]Santiago Gonzalez, Joshua Landgraf, Risto Miikkulainen:
Faster Training by Selecting Samples Using Embeddings. IJCNN 2019: 1-7 - [c173]Padmini Rajagopalan, Kay E. Holekamp, Risto Miikkulainen:
Factors that Affect the Evolution of Complex Cooperative Behavior. ALIFE 2019: 333-340 - [c172]Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. NeurIPS 2019: 7901-7912 - [c171]Guangli Dai, Pavan Kumar Paluri, Thomas Carmichael, Albert Mo Kim Cheng, Risto Miikkulainen:
Work-in-Progress: Leveraging the Selfless Driving Model to Reduce Vehicular Network Congestion. RTSS 2019: 548-551 - [r15]Jacob Schrum, Risto Miikkulainen:
Constructing Game Agents Through Simulated Evolution. Encyclopedia of Computer Graphics and Games 2019 - [i24]Risto Miikkulainen:
Creative AI Through Evolutionary Computation. CoRR abs/1901.03775 (2019) - [i23]Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen:
Evolutionary Neural AutoML for Deep Learning. CoRR abs/1902.06827 (2019) - [i22]Cameron R. Wolfe, Cem Celal Tutum, Risto Miikkulainen:
Functional Generative Design of Mechanisms with Recurrent Neural Networks and Novelty Search. CoRR abs/1903.10103 (2019) - [i21]Santiago Gonzalez, Risto Miikkulainen:
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization. CoRR abs/1905.11528 (2019) - [i20]Risto Miikkulainen, Bret Greenstein, Babak Hodjat, Jerry Smith:
Better Future through AI: Avoiding Pitfalls and Guiding AI Towards its Full Potential. CoRR abs/1905.13178 (2019) - [i19]Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. CoRR abs/1906.00097 (2019) - [i18]Xin Qiu, Elliot Meyerson, Risto Miikkulainen:
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. CoRR abs/1906.00588 (2019) - [i17]Hormoz Shahrzad, Babak Hodjat, Camille Dollé, Andrei Denissov, Simon Lau, Donn Goodhew, Justin Dyer, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Pulsation. CoRR abs/1906.04050 (2019) - 2018
- [c170]Xun Li, Risto Miikkulainen:
Dynamic Adaptation and Opponent Exploitation in Computer Poker. AAAI Workshops 2018: 302-309 - [c169]Risto Miikkulainen, Neil Iscoe, Aaron Shagrin, Ryan Rapp, Sam Nazari, Patrick McGrath, Cory Schoolland, Elyas Achkar, Myles Brundage, Jeremy Miller, Jonathan Epstein, Gurmeet Lamba:
Sentient Ascend: AI-Based Massively Multivariate Conversion Rate Optimization. AAAI 2018: 7696-7703 - [c168]Nora E. Aguirre-Celis, Risto Miikkulainen:
Combining fMRI Data and Neural Networks to Quantify Contextual Effects in the Brain. BI 2018: 129-140 - [c167]Xun Li, Risto Miikkulainen:
Opponent modeling and exploitation in poker using evolved recurrent neural networks. GECCO 2018: 189-196 - [c166]Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen:
Evolutionary architecture search for deep multitask networks. GECCO 2018: 466-473 - [c165]Risto Miikkulainen:
Evolution of neural networks. GECCO (Companion) 2018: 469-488 - [c164]Cem Celal Tutum, Supawit Chockchowwat, Etienne Vouga, Risto Miikkulainen:
Functional generative design: an evolutionary approach to 3D-printing. GECCO 2018: 1379-1386 - [c163]Elliot Meyerson, Risto Miikkulainen:
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. ICLR (Poster) 2018 - [c162]Elliot Meyerson, Risto Miikkulainen:
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back. ICML 2018: 3508-3517 - [c161]Hormoz Shahrzad, Daniel Fink, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Selection. ALIFE 2018: 616-622 - [i16]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) - [i15]Xin Qiu, Risto Miikkulainen:
Enhancing Evolutionary Optimization in Uncertain Environments by Allocating Evaluations via Multi-armed Bandit Algorithms. CoRR abs/1803.03737 (2018) - [i14]Hormoz Shahrzad, Daniel Fink, Risto Miikkulainen:
Enhanced Optimization with Composite Objectives and Novelty Selection. CoRR abs/1803.03744 (2018) - [i13]Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen:
Evolutionary Architecture Search For Deep Multitask Networks. CoRR abs/1803.03745 (2018) - [i12]Elliot Meyerson, Risto Miikkulainen:
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back. CoRR abs/1803.04062 (2018) - [i11]Aditya Rawal, Risto Miikkulainen:
From Nodes to Networks: Evolving Recurrent Neural Networks. CoRR abs/1803.04439 (2018) - [i10]Cem Celal Tutum, Supawit Chockchowwat, Etienne Vouga, Risto Miikkulainen:
Functional Generative Design: An Evolutionary Approach to 3D-Printing. CoRR abs/1804.07284 (2018)