neural networks research group
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Elliot Meyerson
Ph.D. Alumni, Collaborator
Publications
     [Expand to show all 22][Minimize]
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... To Appear In R. Kozma, C. Alippi, Y. Choe, and F. Morabito, editors, Artificial Intelligence in t... 2023
Discovering Effective Policies for Land-Use Planning Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, and Babak Hodjat arXiv:2311.12304, 2023. (A shorter version appeared in the Proceedings of the NeurIPS 2023 ... 2023
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings) Elliot Meyerson, Xin Qiu, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 739--748, 2022. 2022
From Prediction to Prescription: Evolutionary Optimization of Non-Pharmaceutical Interventions in the COVID-19 Pandemic Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak ... To Appear In IEEE Transactions on Evolutionary Computation, 25:386-401, 2021. 2021
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson and Risto Miikkulainen To Appear In International Conference on Learning Representations, 2021. 2021
Evaluating Medical Aesthetics Treatments through Evolved Age-Estimation Models Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Ma... In Proceedings of the Genetic and Evolutionary Computation Conference, 1009–1017, 2021. 2021
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel Xin Qiu, Elliot Meyerson, Risto Miikkulainen In International Conference on Learning Representations, 2020. 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Horm... In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2020), 2020. 2020
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings Elliot Meyerson and Risto Miikkulainen arxiv:2010.02354, October 2020. 2020
Evolving Deep Neural Networks Risto Miikkulainen, Jason Liang, Elliot Meyerson, Aditya Rawal, Dan Fink, Olivier Francon, Bala Raju... In Robert Kozma, Cesare Alippi, Yoonsuck Choe, and Francesco Carlo Morabito, editors, Artificial ... 2019
Evolutionary Neural AutoML for Deep Learning Jason Liang, Elliot Meyerson, Babak Hodjat, Dan Fink, Karl Mutch, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2019), 401–409... 2019
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains Elliot Meyerson and Risto Miikkulainen In 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), 2019. 2019
Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling Arielle J. Johnson, Elliot Meyerson, John de la Parra, Timothy L. Savas, Risto Miikkulainen, Caleb B... bioRxiv:424226, , 2019. 2019
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson and Risto Miikkulainen In Proceedings of the Sixth International Conference on Learning Representations (ICLR), Vanc... 2018
Evolutionary Architecture Search For Deep Multitask Networks Jason Liang, Elliot Meyerson, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO), 466–473, Kyo... 2018
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing---and Back Elliot Meyerson, Risto Miikkulainen In Proceedings of the 35th International Conference on Machine Learning, 739-748, 2018. 2018
Discovering Multi-Purpose Modules through Deep Multitask Learning Elliot Meyerson PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2018. 2018
Discovering Evolutionary Stepping Stones through Behavior Domination Elliot Meyerson and Risto Miikkulainen To Appear In Proceedings of The Genetic and Evolutionary Computation Conference (GECCO 2017),... 2017
Reuse of Neural Modules for General Video Game Playing Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen To Appear In Proceedings of the 30th AAAI Conference on Artificial Intelligence (AAAI-16), 20... 2016
Learning Behavior Characterizations for Novelty Search Elliot Meyerson, Joel Lehman and Risto Miikkulainen To Appear In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016),... 2016
Frame Skip Is a Powerful Parameter for Learning to Play Atari Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen In AAAI-15 Workshop on Learning for General Competency in Video Games, 2015. 2015
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing Alexander Braylan, Mark Hollenbeck, Elliot Meyerson and Risto Miikkulainen In IJCAI'15 Workshop on General Intelligence in Game-Playing Agents, 7--14, 2015. 2015
Areas of Interest
General Game Playing Evolutionary Computation Neuroevolution Control Robotics Cognitive Science Game Playing
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