World's Best Scientists 2026 revealed!
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Computer Science
UK
2026

D-Index & Metrics

Computer Science

D-Index
122
Citations
98375
World Ranking
135
National Ranking
5

Research.com Recognitions

  • 2026 - Research.com Computer Science in United Kingdom Leader Award
  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2015 - Fellow of the Royal Society, United Kingdom

Overview

Zoubin Ghahramani is affiliated with the University of Cambridge in the United Kingdom. Their research primarily spans various fields within computer science, with a focus on artificial intelligence and statistics and probability. Their work integrates topics related to machine learning, Bayesian modeling, and causal inference.

Ghahramani's recent publications include the following papers:

  • Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach, 2024, arXiv (Cornell University)
  • Automating Machine Learning, 2024, Scientific Repository (Petra Christian University)
  • DynamicPPL: Stan-like Speed for Dynamic Probabilistic Models, 2020, arXiv (Cornell University)
  • Learning Continuous Treatment Policy and Bipartite Embeddings for Matching with Heterogeneous Causal Effects, 2020, arXiv (Cornell University)

The scientist has collaborated with various other researchers, including:

  • Irina Jurenka
  • Markus Kunesch
  • Kevin R. McKee
  • Daniel Gillick
  • Shaojian Zhu

Their research contributions have appeared mainly in the following venues:

  • arXiv (Cornell University)
  • Scientific Repository (Petra Christian University)

Primary fields and subfields of study are:

  • Computer Science
  • Artificial Intelligence
  • Statistics and Probability
  • Computer Science Applications
  • Signal Processing
  • Computer Networks and Communications

Main topics covered in Ghahramani's work include:

  • Bayesian Modeling and Causal Inference
  • Machine Learning and Algorithms
  • Online Learning and Analytics
  • Machine Learning and Data Classification
  • Data Management and Algorithms
  • Advanced Database Systems and Queries
  • Advanced Causal Inference Techniques

Zoubin Ghahramani was awarded the title of Fellow of the Royal Society in the United Kingdom in 2015.

Best Publications

  • Dropout as a Bayesian approximation: representing model uncertainty in deep learning

    Yarin Gal;Zoubin Ghahramani

  • Semi-supervised learning using Gaussian fields and harmonic functions

    Xiaojin Zhu;Zoubin Ghahramani;John Lafferty

  • Advances in Neural Information Processing Systems 25

    Yichuan Zhang;Charles Sutton;Amos Storkey;Zoubin Ghahramani

  • An Internal Model for Sensorimotor Integration

    Daniel M. Wolpert;Zoubin Ghahramani;Michael I. Jordan

  • An introduction to variational methods for graphical models

    Michael I. Jordan;Zoubin Ghahramani;Tommi S. Jaakkola;Lawrence K. Saul

  • Active learning with statistical models

    David A. Cohn;Zoubin Ghahramani;Michael I. Jordan

  • Computational principles of movement neuroscience

    Daniel M. Wolpert;Zoubin Ghahramani

  • Probabilistic machine learning and artificial intelligence

    Zoubin Ghahramani

  • Sparse Gaussian Processes using Pseudo-inputs

    Edward Snelson;Zoubin Ghahramani

  • Learning from labeled and unlabeled data with label propagation

    X Zhu;Z Ghahramani

  • A theoretically grounded application of dropout in recurrent neural networks

    Yarin Gal;Zoubin Ghahramani

  • Factorial Hidden Markov Models

    Zoubin Ghahramani;Michael I. Jordan

  • Learning dynamic bayesian networks

    Z. Ghahramani

  • A unifying review of linear Gaussian models

    Sam Roweis;Zoubin Ghahramani

  • An introduction to hidden Markov models and Bayesian networks

    Zoubin Ghahramani

  • Kronecker Graphs: An Approach to Modeling Networks

    Jure Leskovec;Deepayan Chakrabarti;Jon Kleinberg;Christos Faloutsos

  • Perspectives and problems in motor learning

    Daniel M. Wolpert;Zoubin Ghahramani;J. Randall Flanagan

  • Simultaneous Localization and Mapping with Sparse Extended Information Filters

    Sebastian Thrun;Yufeng Liu;Daphne Koller;Andrew Y. Ng

  • Deep Bayesian active learning with image data

    Yarin Gal;Riashat Islam;Zoubin Ghahramani

  • Proceedings of the 26th International Conference on Neural Information Processing Systems

    C. J. C. Burges;L. Bottou;M. Welling;Z. Ghahramani

  • Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions

    Xiaojin Zhu;John Lafferty;Zoubin Ghahramani

  • Advances in Neural Information Processing Systems 18

    Iain Murray;David J. C. MacKay;Zoubin Ghahramani;John Skilling

Frequent Co-Authors

Katherine A. Heller
Katherine A. Heller Google (United States)
Michael I. Jordan
Michael I. Jordan University of California, Berkeley
Daniel M. Wolpert
Daniel M. Wolpert Columbia University
Richard E. Turner
Richard E. Turner University of Cambridge
José Miguel Hernández-Lobato
José Miguel Hernández-Lobato University of Cambridge
Yarin Gal
Yarin Gal University of Oxford
Ryan P. Adams
Ryan P. Adams Princeton University
Geoffrey E. Hinton
Geoffrey E. Hinton University of Toronto
Carl Edward Rasmussen
Carl Edward Rasmussen University of Cambridge
Shixiang Gu
Shixiang Gu Google (United States)

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