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Ryan Faulkner

Ryan Faulkner has 2 papers in our library, in 2018–2026; often with Adam Santoro, Caglar Gulcehre, David Raposo.

2 papers in our library · 2018–2026

OpenAlex · ORCID · h-index 7 · 30 works · 2,460 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 265 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #1317

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of FloridaGainesville · United States2020–2026 · 3 papersEducation 2020–2023 · B.S. Psychology (Behavioral and Cognitive Neuroscience), PsychologyEmployment since 2024 · Laboratory Manager, PsychologyEmployment since 2026 · Master's Student, PsychologyEmployment 2026 · Graduate Teaching Assistant, Psychologycurrent🎓University of TorontoToronto · Canada2026 · 3 paperscurrent🔬Vector InstituteToronto · Canada2026 · 3 paperscurrent🎓The University of AdelaideAdelaide · Australia2023–2025 · 3 papers🏢GoogleMountain View · United States2018–2019 · 3 papers🎓McGill UniversityMontreal · Canada2018–2020 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workHistory and Philosophy of Science · 1 workInformation Systems · 1 work

💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work

 Works by year

2020s

20261 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Relational inductive biases, deep learning, and graph networks (2018 · 2,335 citations)
    Deep learning has advanced quickly on the back of cheap data and compute, yet it still handles poorly a skill people show from infancy: reusing familiar pieces to reason about situations never seen before.
  2. PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in Overleaf (2026 · 1 citation)
    Early-career AI researchers often lack experienced mentors who can critique their drafts. Existing tools only partly fill that gap: grammar checkers fix individual sentences, and automated reviewers mostly assign quality judgments. PaperMentor is an open-source assistant that posts mentor-style feedback as inline…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
  2. Grounded Language Learning in a Simulated 3D World ↗arXiv:1706.06551 · no summary yetKarl Moritz Hermann et al.2017 · 190 citations
  3. Relational recurrent neural networks ↗arXiv (Cornell University) · no summary yetAdam Santoro et al.2018 · 43 citations
  4. PaperMentor: A Human-Centered Multi-Agent Writing Tutor for AI Research Papers in OverleafAnnual Meeting of the Association for Computational Linguistics (ACL)Jiarui Liu, Terry Jingchen Zhang, Ryan Faulkner, et al.2026 · 1 citation

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 265 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

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