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Elliot Meyerson
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2020 – today
- 2024
- [i17]Eleni Nisioti, Claire Glanois, Elias Najarro, Andrew Dai, Elliot Meyerson, Joachim Winther Pedersen, Laetitia Teodorescu, Conor F. Hayes, Shyam Sudhakaran, Sebastian Risi:
From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models. CoRR abs/2407.09502 (2024) - 2023
- [i16]Elliot Meyerson, Mark J. Nelson
, Herbie Bradley
Language Model Crossover: Variation through Few-Shot Prompting. CoRR abs/2302.12170 (2023) - [i15]Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Babak Hodjat:
Discovering Effective Policies for Land-Use Planning. CoRR abs/2311.12304 (2023) - 2022
- [c17]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 - [i14]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) - 2021
- [j1]Risto Miikkulainen
From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. IEEE Trans. Evol. Comput. 25(2): 386-401 (2021) - [c16]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 - [c15]Elliot Meyerson, Risto Miikkulainen:
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. ICLR 2021 - 2020
- [c14]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 - [c13]Xin Qiu, Elliot Meyerson, Risto Miikkulainen:
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. ICLR 2020 - [i13]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) - [i12]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) - [i11]Elliot Meyerson, Risto Miikkulainen:
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. CoRR abs/2010.02354 (2020)
2010 – 2019
- 2019
- [c12]Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen:
Evolutionary neural AutoML for deep learning. GECCO 2019: 401-409 - [c11]Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. NeurIPS 2019: 7901-7912 - [i10]Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen:
Evolutionary Neural AutoML for Deep Learning. CoRR abs/1902.06827 (2019) - [i9]Elliot Meyerson, Risto Miikkulainen:
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. CoRR abs/1906.00097 (2019) - [i8]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) - 2018
- [c10]Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen:
Evolutionary architecture search for deep multitask networks. GECCO 2018: 466-473 - [c9]Elliot Meyerson, Risto Miikkulainen:
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. ICLR (Poster) 2018 - [c8]Elliot Meyerson, Risto Miikkulainen:
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back. ICML 2018: 3508-3517 - [i7]Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen:
Evolutionary Architecture Search For Deep Multitask Networks. CoRR abs/1803.03745 (2018) - [i6]Elliot Meyerson, Risto Miikkulainen:
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back. CoRR abs/1803.04062 (2018) - 2017
- [c7]Elliot Meyerson, Risto Miikkulainen:
Discovering evolutionary stepping stones through behavior domination. GECCO 2017: 139-146 - [i5]Risto Miikkulainen, Jason Zhi Liang, Elliot Meyerson, Aditya Rawal, Daniel Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat:
Evolving Deep Neural Networks. CoRR abs/1703.00548 (2017) - [i4]Elliot Meyerson, Risto Miikkulainen:
Discovering Evolutionary Stepping Stones through Behavior Domination. CoRR abs/1704.05554 (2017) - [i3]Elliot Meyerson, Risto Miikkulainen:
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. CoRR abs/1711.00108 (2017) - 2016
- [c6]Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
Reuse of Neural Modules for General Video Game Playing. AAAI 2016: 353-359 - [c5]Elliot Meyerson, Joel Lehman, Risto Miikkulainen:
Learning Behavior Characterizations for Novelty Search. GECCO 2016: 149-156 - 2015
- [c4]Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
Frame Skip Is a Powerful Parameter for Learning to Play Atari. AAAI Workshop: Learning for General Competency in Video Games 2015 - [c3]Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
On the Cross-Domain Reusability of Neural Modules for General Video Game Playing. CGW/GIGA@IJCAI 2015: 115-129 - [i2]Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
Reuse of Neural Modules for General Video Game Playing. CoRR abs/1512.01537 (2015) - 2014
- [c2]Eric Aaron, Danny Krizanc, Elliot Meyerson:
Multi-Robot Foremost Coverage of Time-Varying Graphs. ALGOSENSORS 2014: 22-38 - [c1]Eric Aaron, Danny Krizanc, Elliot Meyerson:
DMVP: Foremost Waypoint Coverage of Time-Varying Graphs. WG 2014: 29-41 - [i1]Eric Aaron, Danny Krizanc, Elliot Meyerson:
DMVP: Foremost Waypoint Coverage of Time-Varying Graphs. CoRR abs/1407.7279 (2014)
Coauthor Index
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last updated on 2024-09-05 23:41 CEST by the dblp team
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