Tom Rainforth
Scholar

Tom Rainforth

Google Scholar ID: ieLRNKMAAAAJ
Associate Professor, University of Oxford
Machine LearningExperimental DesignAIBayesian Statistics
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
4,112
 
H-index
29
 
i10-index
51
 
Publications
20
 
Co-authors
91
list available
Contact
No contact links provided.
Publications
9 items
Kosmos: An AI Scientist for Autonomous Discovery
2025
Cited
0
Active Learning with Task-Driven Representations for Messy Pools
2025
Cited
0
A Geometric Approach to Optimal Experimental Design
2025
Cited
0
BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
2025
Cited
0
Scaling Up Active Testing to Large Language Models
2025
Cited
0
Prediction-Oriented Subsampling from Data Streams
2025
Cited
0
Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
2025
Cited
0
Shh, don't say that! Domain Certification in LLMs
2025
Cited
0
Resume (English only)
Research Experience
  • Worked as a Research Scientist at Google, focusing on deep learning algorithm optimization.
Background
  • Research interests include artificial intelligence and machine learning.
Miscellany
  • Enjoys programming and reading science fiction.
Co-authors
91 total
Yee Whye Teh
Yee Whye Teh
Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind
Frank Wood
Frank Wood
University of British Columbia
Adam Foster
Adam Foster
Microsoft Research AI for Science
Yarin Gal
Yarin Gal
Professor of Machine Learning, University of Oxford
Co-author 5
Co-author 5
Freddie Bickford Smith
Freddie Bickford Smith
University of Oxford
N. Siddharth
N. Siddharth
Reader in Explainable AI, University of Edinburgh
Jannik Kossen
Jannik Kossen
FAIR, Meta