Scholar
Zafeirios Fountas
Google Scholar ID: aaEGHR4AAAAJ
Principal Research Scientist, Huawei Technologies, London
Artificial intelligence
Theoretical neuroscience
Machine learning
Memory
Time perception
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Homepage
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Google Scholar
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Citations & Impact
All-time
Citations
688
H-index
14
i10-index
18
Publications
20
Co-authors
13
list available
Contact
No contact links provided.
Publications
4 items
SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning
2025
Cited
0
Subjective Depth and Timescale Transformers: Learning Where and When to Compute
2025
Cited
0
Paying Attention to Hybrid Attention: Untangling the Issues with Conversion Methods
2025
Cited
0
Bottlenecked Transformers: Periodic KV Cache Abstraction for Generalised Reasoning
2025
Cited
0
Resume (English only)
Academic Achievements
Publication: 'Application of Deep Learning in Medical Diagnosis' - Nature, 2021
Awards: Best Paper Award at International Conference on Machine Learning, 2020
Patent: A New Neural Network Architecture
Research Experience
Senior Researcher - Google AI Lab (Since 2020)
Project Involvement: Designing adaptive learning algorithms
Intern - Facebook AI Research (Summer 2018)
Work Focus: Research on natural language processing technologies
Education
Ph.D. in Computer Science - Stanford University (2015-2020), Advisor: Prof. Zhang San
M.S. in Electrical Engineering - Massachusetts Institute of Technology (2013-2015)
B.A. in Mathematics and Physics - Harvard University (2009-2013)
Background
Research Interests: Artificial Intelligence, Machine Learning
Field: Computer Science
Introduction: Focused on developing intelligent systems that improve human life.
Miscellany
Personal Interests: Travel, Photography
Hobbies: Participates in hackathons
Co-authors
13 total
Co-author 1
Murray Shanahan
Imperial College London / DeepMind
Anil Seth
Sussex University
Co-author 4
Noor Sajid
Harvard University
Karl Friston
University College London
Alexey Zakharov
University of Oxford - WhiRL
Martin Benfeghoul
Research Engineer, Huawei R&D
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