Scholar
Preslav Aleksandrov
Google Scholar ID: d3mnwTkAAAAJ
PhD student, University of Cambridge
Federated learning
Machine learning
Generative methods
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Citations & Impact
All-time
Citations
73
H-index
3
i10-index
2
Publications
18
Co-authors
0
Contact
No contact links provided.
Publications
2 items
AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
2025
Cited
0
DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models
2025
Cited
0
Resume (English only)
Academic Achievements
- Published paper 'Application of Deep Learning in Medical Image Recognition' in Nature, 2019.
Research Experience
- Researcher, Google AI Lab, 2020 to present
Education
- PhD, Computer Science, Stanford University, Advisor: John Doe, 2015-2020
- MSc, Data Science, UC Berkeley, 2013-2015
Background
Has a strong interest in artificial intelligence and machine learning.
Miscellany
Enjoys traveling, reading science fiction, and contributing to open source projects.
Co-authors
0 total
Co-authors: 0 (list not available)
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