Scholar
Sam Adam-Day
Google Scholar ID: wCHY5IsAAAAJ
FAR.AI
Citations & Impact
Citations
52
H-index
5
i10-index
2
Publications
18
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Selected Publications:
- - Almost Surely Asymptotically Constant Graph Neural Networks, to be presented at NeurIPS 2024.
- - Zero-One Laws of Graph Neural Networks, presented at NeurIPS 2023.
Research Experience
- Currently an AI and Mathematics Researcher at the University of Oxford. Previously worked as a postdoctoral researcher at the Computer Science Department of the University of Oxford.
Education
- Worked as a postdoctoral researcher at the Computer Science Department of the University of Oxford with Michael Benedikt.
Background
- Interested in various topics related to ML/AI, specifically AI safety and graph machine learning. Currently carrying out a joint independent research project investigating multi-agent interaction for generalising trust in AI systems.
Miscellany
- Best way to contact: me@samadamday.com
- GitHub page: [Link](https://github.com/samadamday)
