Meyerson, Elliot

8 publications

ICML 2025 Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives Elliot Meyerson, Xin Qiu

NeurIPS 2024 Unlocking the Potential of Global Human Expertise Elliot Meyerson, Olivier Francon, Darren Sargent, Babak Hodjat, Risto Miikkulainen

ICLR 2021 The Traveling Observer Model: Multi-Task Learning Through Spatial Variable Embeddings Elliot Meyerson, Risto Miikkulainen

ICLR 2020 Quantifying Point-Prediction Uncertainty in Neural Networks via Residual Estimation with an I/O Kernel Xin Qiu, Elliot Meyerson, Risto Miikkulainen

NeurIPS 2019 Modular Universal Reparameterization: Deep Multi-Task Learning Across Diverse Domains Elliot Meyerson, Risto Miikkulainen

ICLR 2018 Beyond Shared Hierarchies: Deep Multitask Learning Through Soft Layer Ordering Elliot Meyerson, Risto Miikkulainen

ICML 2018 Pseudo-Task Augmentation: From Deep Multitask Learning to Intratask Sharing—and Back Elliot Meyerson, Risto Miikkulainen

AAAI 2016 Reuse of Neural Modules for General Video Game Playing Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen