Scholar
José Miguel Hernández-Lobato
Google Scholar ID: BEBccCQAAAAJ
Professor of Machine Learning, University of Cambridge
Bayesian deep learning
approximate inference
deep generative modeling
automatic molecular design
reinforcement learning
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Citations & Impact
All-time
Citations
15,912
H-index
54
i10-index
126
Publications
20
Co-authors
120
list available
Contact
CV
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Publications
17 items
Wiener Chaos Expansion based Neural Operator for Singular Stochastic Partial Differential Equations
2026
Cited
0
Compression as Adaptation: Implicit Visual Representation with Diffusion Foundation Models
2026
Cited
0
A Diffusive Classification Loss for Learning Energy-based Generative Models
2026
Cited
0
Expanding the Chaos: Neural Operator for Stochastic (Partial) Differential Equations
arXiv.org · 2026
Cited
1
Improving Iterative Gaussian Processes via Warm Starting Sequential Posteriors
2025
Cited
0
CREPE: Controlling Diffusion with Replica Exchange
2025
Cited
0
Efficient and Unbiased Sampling from Boltzmann Distributions via Variance-Tuned Diffusion Models
2025
Cited
0
Post-Hoc Uncertainty Quantification in Pre-Trained Neural Networks via Activation-Level Gaussian Processes
2025
Cited
0
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Resume (English only)
Research Experience
Full Professor of Machine Learning, Department of Engineering, University of Cambridge, UK (Oct 2025–present)
Head of Research, Boltzbit Limited (Sep 2025–present)
Chief AI Officer, Angstrom AI (Nov 2024–present)
Director, Cambridge ELLIS Unit, University of Cambridge, UK (Sep 2020–present)
Faculty member, Cambridge Center for AI in Medicine, UK (Dec 2020–present)
Professor of Machine Learning, University of Cambridge (Oct 2022–Sep 2025)
Associate Professor in Machine Learning, University of Cambridge (Oct 2021–Oct 2022)
University Lecturer in Machine Learning, University of Cambridge (Sep 2016–Oct 2021)
Visiting Researcher, Microsoft Research Cambridge (May 2018–Oct 2020)
Postdoctoral Fellow, Harvard Intelligent Probabilistic Systems group, Harvard University, advised by Prof. Ryan Adams (Sep 2014–Aug 2016)
Postdoctoral Researcher, Machine Learning Group, University of Cambridge, advised by Prof. Zoubin Ghahramani (Jun 2011–Aug 2014)
Research Associate, Wolfson College, Cambridge (Oct 2013–Aug 2014)
Teaching Assistant, Computer Science Department, Universidad Autónoma de Madrid (Dec 2010–May 2011)
Co-authors
120 total
Richard E Turner
Professor, University of Cambridge
Daniel Hernández-Lobato
Associate Professor, Universidad Autónoma de Madrid
Ryan P. Adams
Princeton University
Zoubin Ghahramani
Professor, University of Cambridge, and VP of Research, Google DeepMind
Co-author 5
Cheng Zhang
GenAI, Meta, ex-Microsoft Research
Yingzhen Li
Imperial College London
Alan Aspuru-Guzik
Professor of Chemistry and Computer Science, University of Toronto (starting July 1, 2018)
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