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Researchers
Career
·
Founding Engineer
,
Cognition AI
2023–
·
Research Intern
,
Google DeepMind
2022–2023
·
PhD Student in AI
,
Stanford University
2022–
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Quantitative Trading Intern
,
Jane Street
2021–2021
·
B.Sc. Mathematics (Valedictorian)
,
LMU Munich
2018–2021
Publications
(9)
Black-Box Access is Insufficient for Rigorous AI Audits
Conference on Fairness, Accountability and Transparency · 2024
136
cited
PIGEON: Predicting Image Geolocations
Computer Vision and Pattern Recognition · 2023
50
cited
Learning Generalized Zero-Shot Learners for Open-Domain Image Geolocalization
arXiv.org · 2023
45
cited
Sumformer: Universal Approximation for Efficient Transformers
TAG-ML · 2023
29
cited
SuperHF: Supervised Iterative Learning from Human Feedback
arXiv.org · 2023
13
cited
Sotabase
Silas Alberti | Researcher Profile | Sotabase | Sotabase