Elliot Meyerson

According to our database, Elliot Meyerson authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Unlocking the Potential of Global Human Expertise.

Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen

CoRR, 2024

From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models.

Eleni Nisioti, Claire Glanois, Elias Najarro, Andrew Dai, Elliot Meyerson, Joachim Winther Pedersen, Laetitia Teodorescu, Conor F. Hayes, Shyam Sudhakaran, Sebastian Risi

CoRR, 2024

2023

Discovering Effective Policies for Land-Use Planning.

Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Babak Hodjat

CoRR, 2023

Language Model Crossover: Variation through Few-Shot Prompting.

Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Arash Moradi, Amy K. Hoover, Joel Lehman

CoRR, 2023

2022

Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings).

Elliot Meyerson, Xin Qiu, Risto Miikkulainen

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2021

From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic.

Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat

IEEE Trans. Evol. Comput., 2021

The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings.

Elliot Meyerson, Risto Miikkulainen

Proceedings of the 9th International Conference on Learning Representations, 2021

Evaluating medical aesthetics treatments through evolved age-estimation models.

Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, Stephanie Manson Brown

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic.

Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat

CoRR, 2020

Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel.

Xin Qiu, Elliot Meyerson, Risto Miikkulainen

Proceedings of the 8th International Conference on Learning Representations, 2020

Effective reinforcement learning through evolutionary surrogate-assisted prescription.

Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains.

Elliot Meyerson, Risto Miikkulainen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Evolutionary neural AutoML for deep learning.

Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

2018

Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back.

Elliot Meyerson, Risto Miikkulainen

Proceedings of the 35th International Conference on Machine Learning, 2018

Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering.

Elliot Meyerson, Risto Miikkulainen

Proceedings of the 6th International Conference on Learning Representations, 2018

Evolutionary architecture search for deep multitask networks.

Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Evolving Deep Neural Networks.

Risto Miikkulainen, Jason Zhi Liang, Elliot Meyerson, Aditya Rawal, Daniel Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat

CoRR, 2017

Discovering evolutionary stepping stones through behavior domination.

Elliot Meyerson, Risto Miikkulainen

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Learning Behavior Characterizations for Novelty Search.

Elliot Meyerson, Joel Lehman, Risto Miikkulainen

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

Reuse of Neural Modules for General Video Game Playing.

Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

On the Cross-Domain Reusability of Neural Modules for General Video Game Playing.

Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen

Proceedings of the Computer Games - Fourth Workshop on Computer Games, 2015

Frame Skip Is a Powerful Parameter for Learning to Play Atari.

Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen

Proceedings of the Learning for General Competency in Video Games, 2015

2014

DMVP: Foremost Waypoint Coverage of Time-Varying Graphs.

Eric Aaron, Danny Krizanc, Elliot Meyerson

Proceedings of the Graph-Theoretic Concepts in Computer Science, 2014

Multi-Robot Foremost Coverage of Time-Varying Graphs.

Eric Aaron, Danny Krizanc, Elliot Meyerson

Proceedings of the Algorithms for Sensor Systems, 2014