Elija Perrier

Orcid: 0000-0002-6052-6798

According to our database1, Elija Perrier authored at least 18 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Agent Identity Evals: Measuring Agentic Identity.
CoRR, July, 2025

Towards Measurement Theory for Artificial Intelligence.
CoRR, July, 2025

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

K-P Quantum Neural Networks.
CoRR, April, 2025

Threshold Crossings as Tail Events for Catastrophic AI Risk.
CoRR, March, 2025

Statistical Scenario Modelling and Lookalike Distributions for Multi-Variate AI Risk.
CoRR, February, 2025

Position: Stop Acting Like Language Model Agents Are Normal Agents.
CoRR, February, 2025

Infrastructure for AI Agents.
Trans. Mach. Learn. Res., 2025

Quantum AGI: Ontological Foundations.
Proceedings of the Artificial General Intelligence - 18th International Conference, 2025

Hamiltonian Formalism for Comparing Quantum and Classical Intelligence.
Proceedings of the Artificial General Intelligence - 18th International Conference, 2025

Quantum AIXI: Universal Intelligence via Quantum Information.
Proceedings of the Artificial General Intelligence - 18th International Conference, 2025

Watts-Per-Intelligence: Part I (Energy Efficiency).
Proceedings of the Artificial General Intelligence - 18th International Conference, 2025

2022
The Quantum Governance Stack: Models of Governance for Quantum Information Technologies.
Digit. Soc., December, 2022

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

Quantum Fair Machine Learning.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Quantum Geometric Machine Learning for Quantum Circuits and Control.
CoRR, 2020

2019
AIES 2019 Student Submission.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Deep Hierarchical Graph Convolution for Election Prediction from Geospatial Census Data.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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