Scholar
Brooks Paige
Google Scholar ID: JrFJmx0AAAAJ
Associate Professor, University College London
Machine Learning
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Citations & Impact
All-time
Citations
3,971
H-index
20
i10-index
34
Publications
20
Co-authors
30
list available
Contact
No contact links provided.
Publications
8 items
SmilesT5: Domain-specific pretraining for molecular language models
2025
Cited
0
Bayesian Optimization for Molecules Should Be Pareto-Aware
2025
Cited
0
AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking
2025
Cited
0
Time-varying Factor Augmented Vector Autoregression with Grouped Sparse Autoencoder
2025
Cited
0
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks
2025
Cited
0
Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference Drift
arXiv.org · 2024
Cited
4
Analyzing the Generalization and Reliability of Steering Vectors
arXiv.org · 2024
Cited
5
Towards Healing the Blindness of Score Matching
arXiv.org · 2022
Cited
16
Resume (English only)
Co-authors
30 total
Frank Wood
University of British Columbia
Jan-Willem van de Meent
University of Amsterdam
José Miguel Hernández-Lobato
Professor of Machine Learning, University of Cambridge
Matt J. Kusner
Polytechnique Montréal, Mila - Quebec AI Institute
Philip Torr
Professor, University of Oxford
Emily Shuckburgh
University of Cambridge
Chris Russell
Associate Professor, University of Oxford
Stephen Law
university college london
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