Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data. - Mike Li; Elija Perrier; Chang Xu 002 (AAAI, 2019)

AIES 2019 Student Submission. - Elija Perrier (AIES, 2019)

Quantum Geometric Machine Learning for Quantum Circuits and Control. - Elija Perrier; Christopher Ferrie; Dacheng Tao (CoRR, 2020)

Quantum Fair Machine Learning. - Elija Perrier (AIES, 2021)

Computability, Complexity, Consistency and Controllability: A Four C's Framework for cross-disciplinary Ethical Algorithm Research. - Elija Perrier (CoRR, 2021)

The Quantum Governance Stack: Models of Governance for Quantum Information Technologies. - Elija Perrier (Digit. Soc., 2022)

Watts-Per-Intelligence: Part I (Energy Efficiency). - Elija Perrier (AGI (2), 2025)

Quantum AIXI: Universal Intelligence via Quantum Information. - Elija Perrier (AGI (2), 2025)

Hamiltonian Formalism for Comparing Quantum and Classical Intelligence. - Elija Perrier (AGI (2), 2025)

Quantum AGI: Ontological Foundations. - Elija Perrier; Michael Timothy Bennett (AGI (2), 2025)

Infrastructure for AI Agents. - Alan Chan; Kevin Wei; Sihao Huang; Nitarshan Rajkumar; Elija Perrier; Seth Lazar; Gillian K. Hadfield; Markus Anderljung (Trans. Mach. Learn. Res., 2025)

Position: Stop Acting Like Language Model Agents Are Normal Agents. - Elija Perrier; Michael Timothy Bennett (CoRR, 2025)

Statistical Scenario Modelling and Lookalike Distributions for Multi-Variate AI Risk. - Elija Perrier (CoRR, 2025)

Threshold Crossings as Tail Events for Catastrophic AI Risk. - Elija Perrier (CoRR, 2025)

K-P Quantum Neural Networks. - Elija Perrier (CoRR, 2025)

Out of Control - Why Alignment Needs Formal Control Theory (and an Alignment Control Stack). - Elija Perrier (CoRR, 2025)

Towards Measurement Theory for Artificial Intelligence. - Elija Perrier (CoRR, 2025)

Agent Identity Evals: Measuring Agentic Identity. - Elija Perrier; Michael Timothy Bennett (CoRR, 2025)