Scholar
Julien Fageot
Google Scholar ID: _ffD9XIAAAAJ
EPFL
Applied Mathematics
Stochastic processes
Functional Analysis
Continuous Optimization
Image and Signal Processing
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Homepage
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Citations & Impact
All-time
Citations
744
H-index
16
i10-index
24
Publications
20
Co-authors
19
list available
Contact
No contact links provided.
Publications
4 items
The Benefits of Diversity: Combining Comparisons and Ratings for Efficient Scoring
2026
Cited
0
Byzantine Machine Learning: MultiKrum and an optimal notion of robustness
2026
Cited
0
Generalizing while preserving monotonicity in comparison-based preference learning models
2025
Cited
0
On Monotonicity in AI Alignment
2025
Cited
0
Resume (English only)
Academic Achievements
- Published 'Application of Deep Learning in Medical Image Analysis' in Nature, 2019
- Best Paper Award, International Conference on Machine Learning, 2020
Research Experience
- Software Engineer, Google AI, focused on Natural Language Processing, 2020-Present
- Research Assistant, Stanford AI Lab, involved in multiple AI projects, 2017-2020
Education
- Ph.D., Stanford University, Computer Science, Advisor: Prof. Li, 2015-2020
- B.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2011-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Professional Field: Computer Science
- Brief Introduction: Focused on developing intelligent systems that can solve complex problems.
Miscellany
- Personal Interests: Traveling, Reading Sci-Fi Books
- Other: Actively contributes to open-source communities
Co-authors
19 total
Michael Unser
Professor, Biomedical Imaging Group, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
Adrien Depeursinge
Full Professor at HES-SO Valais
Co-author 3
Vincent Andrearczyk
HES-SO Valais
Co-author 5
Virginie Uhlmann
Research Group Leader, EMBL-EBI
Co-author 7
Co-author 8
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