Zoubin Ghahramani

University of Cambridge — United Kingdom

Computer Science · Physical Sciences

99h-index57.0kcitations395works89.52yr avg
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Research Topics

Gaussian Processes and Bayesian Inference(133), Bayesian Methods and Mixture Models(116), Bayesian Modeling and Causal Inference(57), Machine Learning and Algorithms(55), Machine Learning and Data Classification(39)

Publications394 total

Turing.jl: A General-Purpose Probabilistic Programming Language
ACM transactions on probabilistic machine learning.·2025· 12 cited
RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
arXiv (Cornell University)·2024· 4 citedOpen Access
Gemma: Open Models Based on Gemini Research and Technology
arXiv (Cornell University)·2024· 217 citedOpen Access
Plex: Towards Reliability using Pretrained Large Model Extensions
arXiv (Cornell University)·2022· 38 citedOpen Access
Pre-training helps Bayesian optimization too
arXiv (Cornell University)·2022· 2 citedOpen Access
Neural Diffusion Processes
arXiv (Cornell University)·2022· 2 citedOpen Access
Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.
arXiv (Cornell University)·2021· 2 citedOpen Access
Deep Neural Networks as Point Estimates for Deep Gaussian Processes
arXiv (Cornell University)·2021· 1 citedOpen Access
Handling incomplete heterogeneous data using VAEs
2020· 297 citedOpen Access
Handling incomplete heterogeneous data using VAEs
Pattern Recognition·2020· 58 citedOpen Access
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits
arXiv (Cornell University)·2020· 27 citedOpen Access
Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic\n Circuits
arXiv (Cornell University)·2020· 25 citedOpen Access
General Latent Feature Models for Heterogeneous Datasets
Cambridge University Engineering Department Publications Database·2020· 4 cited
Random sum-product networks: A simple and effective approach to probabilistic deep learning
TU/e Research Portal·2019· 50 citedOpen Access
Automatic Bayesian Density Analysis
Proceedings of the AAAI Conference on Artificial Intelligence·2019Open Access
One-Network Adversarial Fairness
Proceedings of the AAAI Conference on Artificial Intelligence·2019· 80 citedOpen Access
Bayesian Learning of Sum-Product Networks
arXiv (Cornell University)·2019· 8 citedOpen Access
Bayesian Learning of Sum-Product Networks
TU/e Research Portal·2019· 15 citedOpen Access
Antithetic and Monte Carlo kernel estimators for partial rankings
Statistics and Computing·2019· 3 citedOpen Access
Few-shot learning of neural networks from scratch by pseudo example optimization
Cambridge University Engineering Department Publications Database·2019· 23 cited
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Frequent Co-authors

Yarin Gal(7), Michael I. Jordan(6), Daniel M. Wolpert(4), Edward Snelson(3), Matthew J. Beal(3), Carl Edward Rasmussen(3), Geoffrey E. Hinton(3), Tommi Jaakkola(2), Lawrence K. Saul(2), Xiaojin Zhu(2), John Lafferty(2), Riashat Islam(2), Thomas L. Griffiths(2), Wei Chu(2), James Hensman(2), Alexander Matthews(2), Xiongjie Zhu(1), Sam T. Roweis(1), J. Randall Flanagan(1), Sebastian Thrun(1)