Scholar
Adji Bousso Dieng
Google Scholar ID: ZCniP_MAAAAJ
Assistant Professor of Computer Science, Princeton University
Machine Learning
Artificial Intelligence
Natural Sciences
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Citations & Impact
All-time
Citations
2,774
H-index
20
i10-index
25
Publications
20
Co-authors
47
list available
Contact
Email
adji@princeton.edu
Twitter
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GitHub
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Publications
9 items
Vendi Novelty Scores for Out-of-Distribution Detection
2026
Cited
0
Are neural scaling laws leading quantum chemistry astray?
2025
Cited
0
Vendi Information Gain for Active Learning and its Application to Ecology
2025
Cited
0
Alternators With Noise Models
2025
Cited
0
Vendi Information Gain: An Alternative To Mutual Information For Science And Machine Learning
2025
Cited
0
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs
2025
Cited
0
The Vendiscope: An Algorithmic Microscope For Data Collections
2025
Cited
0
The $alpha$-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and Performance
2025
Cited
0
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Resume (English only)
Background
Professor in the Department of Computer Science at Princeton University
Lead of the Vertaix research lab
Research focuses on the intersection of artificial intelligence (AI) and the natural sciences
Develops AI models and algorithms motivated by problems in natural sciences
Leverages statistical machine learning and deep learning for multimodal scientific data
Co-authors
47 total
David Blei
Professor of Statistics and Computer Science, Columbia University
John Paisley
Columbia University
Dustin Tran
Research Scientist, Google
Francisco J. R. Ruiz
Research Scientist at Deepmind
Rajesh Ranganath
Assistant Professor, NYU
Co-author 6
Dawen Liang
Research Scientist, Netflix Inc.
Michalis Titsias
DeepMind
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