Zoubin GhahramaniProfessor of Information Engineering · University of CambridgeResearcher↗
Researcher · Founder · Academic
Ferenc Huszár
ReasonableFounder
University of CambridgeProfessor of Machine Learning (on leave)
Huszár co-developed SRGAN, which makes enlarged low-resolution images look more realistic.[1] Through his inFERENCe blog, he explains and critiques machine-learning research.[2] He co-founded Reasonable to make AI-generated software come with machine-checkable proofs that it meets stated requirements.[3]
Career & education
Current rolesReasonableOctober 2025-presentFounderUniversity of CambridgeOctober 2024-presentProfessor of Machine Learning (on leave)
ReasonableOctober 2025-presentUniversity of CambridgeOctober 2024-presentPreviouslyUniversity of Cambridge2020-2024Associate Professor
Twitter2016-2020Senior Machine Learning Researcher
University of Cambridge2020-2024Twitter2016-2020Magic Pony2016-2016
Principal Research ScientistEducation
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations36,405As of Nov 8, '26
References
- Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Networkarxiv.org
Original coauthored SRGAN paper demonstrates perceptually realistic textures when enlarging low-resolution images; no claim of recovering ground-truth detail.
- inFERENCe — Ferenc Huszár’s research writinginference.vc
Author blog identifies its research/statistics/commentary remit and recent analytical posts.
- Reasonable — founders and missionreasonable.io
Official company page identifies Huszár as technical founder and describes training models to mathematically prove software correct.
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Reviewed August 24, 2026 · Checked for accuracy and new information.
