José Miguel Hernández-Lobato

José Miguel Hernández-Lobato

University of Cambridge

H-index: 50

Europe-United Kingdom

Contact José Miguel Hernández-Lobato

About José Miguel Hernández-Lobato

José Miguel Hernández-Lobato, With an exceptional h-index of 50 and a recent h-index of 47 (since 2020), a distinguished researcher at University of Cambridge, specializes in the field of Bayesian deep learning, approximate inference, deep generative modeling, automatic molecular design, reinforcement learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Generative Model of Symmetry Transformations

Guided Autoregressive Diffusion Models with Applications to PDE Simulation

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation

Faster relative entropy coding with greedy rejection coding

SE (3) equivariant augmented coupling flows

Tanimoto Random Features for Scalable Molecular Machine Learning

Sampling from gaussian process posteriors using stochastic gradient descent

Compression with bayesian implicit neural representations

José Miguel Hernández-Lobato Information

University	University of Cambridge
Position	University Lecturer (US Assistant Professor)
Citations(all)	13675
Citations(since 2020)	11592
Cited By	6180
hIndex(all)	50
hIndex(since 2020)	47
i10Index(all)	107
i10Index(since 2020)	97
Email	Access Email
University Profile Page	University of Cambridge
Google Scholar	View Google Scholar Profile

José Miguel Hernández-Lobato Skills & Research Interests

Bayesian deep learning

approximate inference

deep generative modeling

automatic molecular design

reinforcement learning

Top articles of José Miguel Hernández-Lobato

A Generative Model of Symmetry Transformations

arXiv preprint arXiv:2403.01946

2024/3/4

James Urquhart Allingham

H-Index: 2

Bruno Kacper Mlodozeniec

H-Index: 1

Richard E Turner

H-Index: 33

José Miguel Hernández-Lobato

H-Index: 30

Guided Autoregressive Diffusion Models with Applications to PDE Simulation

2024/3/3

Aliaksandra Shysheya

H-Index: 3

Paris Perdikaris

H-Index: 27

José Miguel Hernández-Lobato

H-Index: 30

Richard E Turner

H-Index: 33

Emile Mathieu

H-Index: 4

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation

arXiv preprint arXiv:2402.08845

2024/2/13

Ruichu Cai

H-Index: 15

Yuxuan Zhu

H-Index: 0

Zijian Li

H-Index: 1

Faster relative entropy coding with greedy rejection coding

Advances in Neural Information Processing Systems

2024/2/13

Gergely Flamich

H-Index: 2

José Miguel Hernández-Lobato

H-Index: 30

SE (3) equivariant augmented coupling flows

Advances in Neural Information Processing Systems

2024/2/13

Vincent Stimper

H-Index: 3

Emile Mathieu

H-Index: 4

José Miguel Hernández-Lobato

H-Index: 30

Tanimoto Random Features for Scalable Molecular Machine Learning

Advances in Neural Information Processing Systems

2024/2/13

Austin Tripp

H-Index: 2

Sukriti Singh

H-Index: 5

José Miguel Hernández-Lobato

H-Index: 30

Sampling from gaussian process posteriors using stochastic gradient descent

2023/6/20

Jihao Andreas Lin

H-Index: 0

David Janz

H-Index: 25

José Miguel Hernández-Lobato

H-Index: 30

Alexander Terenin

H-Index: 6

Compression with bayesian implicit neural representations

Advances in Neural Information Processing Systems

2024/2/13

Zongyu Guo

H-Index: 4

Gergely Flamich

H-Index: 2

Jiajun He

H-Index: 12

Zhibo Chen

H-Index: 2

José Miguel Hernández-Lobato

H-Index: 30

Diffusive Gibbs Sampling

arXiv preprint arXiv:2402.03008

2024/2/5

Wenlin Chen

H-Index: 2

Mingtian Zhang

H-Index: 2

Brooks Paige

H-Index: 15

José Miguel Hernández-Lobato

H-Index: 30

David Barber

H-Index: 33

Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

2024/2

Theodore Papamarkou

H-Index: 12

Maria Skoularidou

H-Index: 3

Laurence Aitchison

H-Index: 11

Maurizio Filippone

H-Index: 20

Aliaksandr Hubin

H-Index: 5

Agustinus Kristiadi

H-Index: 5

Yingzhen Li

H-Index: 14

Stephan Mandt

H-Index: 21

Christopher Nemeth

H-Index: 9

Michael A. Osborne

H-Index: 7

Tim G. J. Rudner

H-Index: 5

David Rügamer

H-Index: 7

Yee Whye Teh

H-Index: 51

Max Welling

H-Index: 62

Andrew Gordon Wilson

H-Index: 35

Ruqi Zhang

H-Index: 4

Introducing instance label correlation in multiple instance learning. Application to cancer detection on histopathological images

Pattern Recognition

2024/2/1

Arne Schmidt

H-Index: 5

José Miguel Hernández-Lobato

H-Index: 30

Rafael Molina

H-Index: 27

Graph Neural Stochastic Differential Equations

arXiv preprint arXiv:2308.12316

2023/8/23

Improving Continual Learning by Accurate Gradient Reconstructions of the Past

Transactions on Machine Learning Research

2023/7/19

Erik Daxberger

H-Index: 5

Siddharth Swaroop

H-Index: 5

Rio Yokota

H-Index: 17

Richard E Turner

H-Index: 33

José Miguel Hernández-Lobato

H-Index: 30

Minimal Random Code Learning with Mean-KL Parameterization

arXiv preprint arXiv:2307.07816

2023/7/15

Jihao Andreas Lin

H-Index: 0

Gergely Flamich

H-Index: 2

José Miguel Hernández-Lobato

H-Index: 30

Online laplace model selection revisited

2023

Jihao Andreas Lin

H-Index: 0

José Miguel Hernández-Lobato

H-Index: 30

Leveraging Task Structures for Improved Identifiability in Neural Network Representations

arXiv preprint arXiv:2306.14861

2023/6/26

Wenlin Chen

H-Index: 2

José Miguel Hernández-Lobato

H-Index: 30

Image Reconstruction via Deep Image Prior Subspaces

Transactions on Machine Learning Research (1/2024)

2023/2/20

Riccardo Barbano

H-Index: 1

José Miguel Hernández-Lobato

H-Index: 30

Bangti Jin

H-Index: 30

Fast and Painless Image Reconstruction in Deep Image Prior Subspaces

arXiv preprint arXiv

2023/2

Riccardo Barbano

H-Index: 1

José Miguel Hernández-Lobato

H-Index: 30

Bangti Jin

H-Index: 30

normflows: A pytorch package for normalizing flows

arXiv preprint arXiv:2302.12014

2023/1/26

Vincent Stimper

H-Index: 3

David Liu

H-Index: 22

Andrew Campbell

H-Index: 2

Lukas Ryll

H-Index: 1

José Miguel Hernández-Lobato

H-Index: 30

Collecting observations for machine learning

2023/12/7

See List of Professors in José Miguel Hernández-Lobato University(University of Cambridge)

Co-Authors

H-index: 124

Zoubin Ghahramani — Zoubin Ghahramani
University of Cambridge

Visit Zoubin Ghahramani Page

H-index: 118

Alan Aspuru-Guzik — Alan Aspuru-Guzik
University of Toronto

Visit Alan Aspuru-Guzik Page

H-index: 66

David Brooks — David Brooks
Harvard University

Visit David Brooks Page

H-index: 63

Ryan P. Adams — Ryan P. Adams
Princeton University

Visit Ryan P. Adams Page

H-index: 59

Gu-Yeon Wei — Gu-Yeon Wei
Harvard University

Visit Gu-Yeon Wei Page

H-index: 49

Richard E Turner — Richard E Turner
University of Cambridge

Visit Richard E Turner Page

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