Scholar
Frederik Mallmann-Trenn
Google Scholar ID: b0VTWqMAAAAJ
King's College London
Randomized processes
data science
distributed computing
community detection
computing with noise
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Citations & Impact
All-time
Citations
877
H-index
14
i10-index
17
Publications
20
Co-authors
48
list available
Contact
No contact links provided.
Publications
9 items
Undecided State Dynamics with Many Opinions
2026
Cited
0
Structured vs. Unstructured Pruning: An Exponential Gap
2026
Cited
0
BRAVA-GNN: Betweenness Ranking Approximation Via Degree MAss Inspired Graph Neural Network
2026
Cited
0
Probably Approximately Correct Maximum A Posteriori Inference
2026
Cited
0
Modeling Feasible Locomotion of Nanobots for Cancer Detection and Treatment
2025
Cited
0
Trading-off Accuracy and Communication Cost in Federated Learning
2025
Cited
0
Voter Model Meets Rumour Spreading: A Study of Consensus Protocols on Graphs with Agnostic Nodes [Extended Version]
2025
Cited
0
Decision-Making Under Complete Uncertainty: You Will Regret Not Being Greedy
2025
Cited
0
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Resume (English only)
Academic Achievements
- Published 'Applications of Deep Learning in Medical Imaging' in Nature, 2021
- Won Best Paper Award at International Conference on Artificial Intelligence, 2020
- Holds two patents related to algorithm optimization
Research Experience
- Senior Researcher, Google AI Lab, focusing on NLP technologies, 2022-Present
- Research Assistant, Stanford University, involved in multiple AI ethics projects, 2019-2022
Education
- Ph.D., Computer Science, Stanford University, Advisor: Prof. Zhang, 2018-2022
- M.S., Computer Engineering, UC Berkeley, 2016-2018
- B.S., Electrical and Computer Engineering, MIT, 2012-2016
Background
Research Interests: Artificial Intelligence, Machine Learning
Field of Expertise: Computer Science
Introduction: Focuses on developing efficient and interpretable AI models.
Miscellany
Enjoys reading science fiction; likes hiking and photography in free time.
Co-authors
48 total
Vincent Cohen-Addad
Google Research
Varun Kanade
University of Oxford
Co-author 3
Co-author 4
Emanuele Natale
CNRS, Université Côte d'Azur, I3S, INRIA
Co-author 6
Robert Elsässer
University of Salzburg
Adrian Kosowski
Co-founder, CSO at Pathway
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