Elliot Meyerson

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Multitask Learning

Evolutionary Optimization

Top Venues

IEEE Trans. Evol. Comput.

Publications

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 (2024)
Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Babak Hodjat
Discovering Effective Policies for Land-Use Planning. CoRR (2023)
Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Arash Moradi, Amy K. Hoover, Joel Lehman
Language Model Crossover: Variation through Few-Shot Prompting. CoRR (2023)
Elliot Meyerson, Xin Qiu, Risto Miikkulainen
Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings). CoRR (2022)
Elliot Meyerson, Xin Qiu, Risto Miikkulainen
Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). GECCO (2022)
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)
Elliot Meyerson, Risto Miikkulainen
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. ICLR (2021)
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) (2021)
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
Effective reinforcement learning through evolutionary surrogate-assisted prescription. GECCO (2020)
Xin Qiu, Elliot Meyerson, Risto Miikkulainen
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. ICLR (2020)
Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription. CoRR (2020)
Elliot Meyerson, Risto Miikkulainen
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. CoRR (2020)
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 (2020)
Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen
Evolutionary neural AutoML for deep learning. GECCO (2019)
Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen
Evolutionary Neural AutoML for Deep Learning. CoRR (2019)
Elliot Meyerson, Risto Miikkulainen
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. NeurIPS (2019)
Xin Qiu, Elliot Meyerson, Risto Miikkulainen
Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. CoRR (2019)
Elliot Meyerson, Risto Miikkulainen
Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. CoRR (2019)
Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen
Evolutionary Architecture Search For Deep Multitask Networks. CoRR (2018)
Elliot Meyerson, Risto Miikkulainen
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back. ICML (2018)
Elliot Meyerson, Risto Miikkulainen
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. ICLR (Poster) (2018)
Elliot Meyerson, Risto Miikkulainen
Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back. CoRR (2018)
Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen
Evolutionary architecture search for deep multitask networks. GECCO (2018)
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 (2017)
Elliot Meyerson, Risto Miikkulainen
Discovering Evolutionary Stepping Stones through Behavior Domination. CoRR (2017)
Elliot Meyerson, Risto Miikkulainen
Discovering evolutionary stepping stones through behavior domination. GECCO (2017)
Elliot Meyerson, Risto Miikkulainen
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. CoRR (2017)
Elliot Meyerson, Joel Lehman, Risto Miikkulainen
Learning Behavior Characterizations for Novelty Search. GECCO (2016)
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen
Reuse of Neural Modules for General Video Game Playing. AAAI (2016)
Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen
Reuse of Neural Modules for General Video Game Playing. CoRR (2015)
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)
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)
Eric Aaron, Danny Krizanc, Elliot Meyerson
DMVP: Foremost Waypoint Coverage of Time-Varying Graphs. WG (2014)
Eric Aaron, Danny Krizanc, Elliot Meyerson
DMVP: Foremost Waypoint Coverage of Time-Varying Graphs. CoRR (2014)
Eric Aaron, Danny Krizanc, Elliot Meyerson
Multi-Robot Foremost Coverage of Time-Varying Graphs. ALGOSENSORS (2014)