Elliot Meyerson

46 papers A* 6A 7B 1C 1Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fine-Tuning Language Models to Know What They Know. CoRR Sangjun Park, Elliot Meyerson, Xin Qiu, Risto Miikkulainen
2026	J	`jnl`	TerraLingua: Emergence and Analysis of Open-endedness in LLM Ecologies. CoRR Giuseppe Paolo, Jamieson Warner, Hormoz Shahrzad, Babak Hodjat, Risto Miikkulainen, Elliot Meyerson
2025	J	`jnl`	Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning. CoRR Xin Qiu, Yulu Gan, Conor F. Hayes, Qiyao Liang, Elliot Meyerson, Babak Hodjat, Risto Miikkulainen
2025	J	`jnl`	Evolution and The Knightian Blindspot of Machine Learning. CoRR Joel Lehman, Elliot Meyerson, Tarek El-Gaaly, Kenneth O. Stanley, Tarin Ziyaee
2025	—	`conf`	Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives. ICML (Position Papers) Elliot Meyerson, Xin Qiu
2025	J	`jnl`	Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives. CoRR Elliot Meyerson, Xin Qiu
2025	J	`jnl`	Solving a Million-Step LLM Task with Zero Errors. CoRR Elliot Meyerson, Giuseppe Paolo, Roberto Dailey, Hormoz Shahrzad, Olivier Francon, Conor F. Hayes, Xin Qiu, Babak Hodjat, Risto Miikkulainen
2024	J	`jnl`	From Text to Life: On the Reciprocal Relationship between Artificial Life and Large Language Models. CoRR Eleni Nisioti, Claire Glanois, Elias Najarro, Andrew Dai, Elliot Meyerson, Joachim Winther Pedersen, Laetitia Teodorescu, Conor F. Hayes, Shyam Sudhakaran, Sebastian Risi
2024	J	`jnl`	Language Model Crossover: Variation through Few-Shot Prompting. ACM Trans. Evol. Learn. Optim. Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman
2024	J	`jnl`	Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models. CoRR Alex Havrilla, Andrew Dai, Laura O'Mahony, Koen Oostermeijer, Vera Zisler, Alon Albalak, Fabrizio Milo, Sharath Chandra Raparthy, Kanishk Gandhi, Baber Abbasi, Duy Phung, Maia Iyer, Dakota Mahan, Chase Blagden, Srishti Gureja, Mohammed Hamdy, Wen-Ding Li, Giovanni Paolini, Pawan Sasanka Ammanamanchi, Elliot Meyerson
2024	A*	`conf`	Unlocking the Potential of Global Human Expertise. NeurIPS Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen
2024	J	`jnl`	Unlocking the Potential of Global Human Expertise. CoRR Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen
2023	J	`jnl`	Discovering Effective Policies for Land-Use Planning. CoRR Risto Miikkulainen, Olivier Francon, Daniel Young, Elliot Meyerson, Babak Hodjat
2023	J	`jnl`	Language Model Crossover: Variation through Few-Shot Prompting. CoRR Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman
2022	J	`jnl`	Simple Genetic Operators are Universal Approximators of Probability Distributions (and other Advantages of Expressive Encodings). CoRR Elliot Meyerson, Xin Qiu, Risto Miikkulainen
2022	A	`conf`	Simple genetic operators are universal approximators of probability distributions (and other advantages of expressive encodings). GECCO Elliot Meyerson, Xin Qiu, Risto Miikkulainen
2021	A	`conf`	Evaluating medical aesthetics treatments through evolved age-estimation models. GECCO Risto Miikkulainen, Elliot Meyerson, Xin Qiu, Ujjayant Sinha, Raghav Kumar, Karen Hofmann, Yiyang Matt Yan, Michael Ye, Jingyuan Yang, Damon Caiazza, Stephanie Manson Brown
2021	J	`jnl`	From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic. IEEE Trans. Evol. Comput. Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Darren Sargent, Elisa Canzani, Babak Hodjat
2021	A*	`conf`	The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. ICLR Elliot Meyerson, Risto Miikkulainen
2020	J	`jnl`	Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription. CoRR Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
2020	A	`conf`	Effective reinforcement learning through evolutionary surrogate-assisted prescription. GECCO Olivier Francon, Santiago Gonzalez, Babak Hodjat, Elliot Meyerson, Risto Miikkulainen, Xin Qiu, Hormoz Shahrzad
2020	J	`jnl`	From Prediction to Prescription: AI-Based Optimization of Non-Pharmaceutical Interventions for the COVID-19 Pandemic. CoRR Risto Miikkulainen, Olivier Francon, Elliot Meyerson, Xin Qiu, Elisa Canzani, Babak Hodjat
2020	A*	`conf`	Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. ICLR Xin Qiu, Elliot Meyerson, Risto Miikkulainen
2020	J	`jnl`	The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings. CoRR Elliot Meyerson, Risto Miikkulainen
2019	J	`jnl`	Evolutionary Neural AutoML for Deep Learning. CoRR Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen
2019	A	`conf`	Evolutionary neural AutoML for deep learning. GECCO Jason Zhi Liang, Elliot Meyerson, Babak Hodjat, Daniel Fink, Karl Mutch, Risto Miikkulainen
2019	A*	`conf`	Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. NeurIPS Elliot Meyerson, Risto Miikkulainen
2019	J	`jnl`	Modular Universal Reparameterization: Deep Multi-task Learning Across Diverse Domains. CoRR Elliot Meyerson, Risto Miikkulainen
2019	J	`jnl`	Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel. CoRR Xin Qiu, Elliot Meyerson, Risto Miikkulainen
2018	—	`conf`	Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. ICLR (Poster) Elliot Meyerson, Risto Miikkulainen
2018	J	`jnl`	Evolutionary Architecture Search For Deep Multitask Networks. CoRR Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen
2018	A	`conf`	Evolutionary architecture search for deep multitask networks. GECCO Jason Zhi Liang, Elliot Meyerson, Risto Miikkulainen
2018	J	`jnl`	Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing - and Back. CoRR Elliot Meyerson, Risto Miikkulainen
2018	A*	`conf`	Pseudo-task Augmentation: From Deep Multitask Learning to Intratask Sharing-and Back. ICML Elliot Meyerson, Risto Miikkulainen
2017	J	`jnl`	Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering. CoRR Elliot Meyerson, Risto Miikkulainen
2017	J	`jnl`	Discovering Evolutionary Stepping Stones through Behavior Domination. CoRR Elliot Meyerson, Risto Miikkulainen
2017	A	`conf`	Discovering evolutionary stepping stones through behavior domination. GECCO Elliot Meyerson, Risto Miikkulainen
2017	J	`jnl`	Evolving Deep Neural Networks. CoRR Risto Miikkulainen, Jason Zhi Liang, Elliot Meyerson, Aditya Rawal, Daniel Fink, Olivier Francon, Bala Raju, Hormoz Shahrzad, Arshak Navruzyan, Nigel Duffy, Babak Hodjat
2016	A	`conf`	Learning Behavior Characterizations for Novelty Search. GECCO Elliot Meyerson, Joel Lehman, Risto Miikkulainen
2016	A*	`conf`	Reuse of Neural Modules for General Video Game Playing. AAAI Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen
2015	—	`conf`	Frame Skip Is a Powerful Parameter for Learning to Play Atari. AAAI Workshop: Learning for General Competency in Video Games Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen
2015	—	`conf`	On the Cross-Domain Reusability of Neural Modules for General Video Game Playing. CGW/GIGA@IJCAI Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen
2015	J	`jnl`	Reuse of Neural Modules for General Video Game Playing. CoRR Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen
2014	B	`conf`	DMVP: Foremost Waypoint Coverage of Time-Varying Graphs. WG Eric Aaron, Danny Krizanc, Elliot Meyerson
2014	J	`jnl`	DMVP: Foremost Waypoint Coverage of Time-Varying Graphs. CoRR Eric Aaron, Danny Krizanc, Elliot Meyerson
2014	C	`conf`	Multi-Robot Foremost Coverage of Time-Varying Graphs. ALGOSENSORS Eric Aaron, Danny Krizanc, Elliot Meyerson