José Miguel Hernández-Lobato

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Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridAdresse e-mail validée de uam.es
Richard E TurnerProfessor, University of CambridgeAdresse e-mail validée de cam.ac.uk
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
Ryan P. AdamsPrinceton UniversityAdresse e-mail validée de princeton.edu
Yingzhen LiImperial College LondonAdresse e-mail validée de imperial.ac.uk
Cheng ZhangPrincipal Researcher, Microsoft Research, Cambridge, UKAdresse e-mail validée de kth.se
Alan Aspuru-GuzikProfessor of Chemistry and Computer Science, University of Toronto (starting July 1, 2018)Adresse e-mail validée de utoronto.ca
Javier AntoranUniversity of CambridgeAdresse e-mail validée de cam.ac.uk
Matt J. KusnerAssociate Professor, University College LondonAdresse e-mail validée de ucl.ac.uk
Brooks PaigeAssociate Professor, University College LondonAdresse e-mail validée de ucl.ac.uk
Sebastian TschiatschekUniversity of ViennaAdresse e-mail validée de univie.ac.at
Chao MaSenior Researcher, Microsoft Research CambridgeAdresse e-mail validée de microsoft.com
Eric NalisnickAssistant Professor, University of AmsterdamAdresse e-mail validée de uva.nl
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHAdresse e-mail validée de tuebingen.mpg.de
Neil HoulsbyGoogleAdresse e-mail validée de google.com
David BrooksHaley Family Professor of Computer Science, Harvard UniversityAdresse e-mail validée de eecs.harvard.edu
Gu-Yeon WeiRobert and Suzanne Case Professor of EE and CS, Harvard University and Fellow, Samsung ResearchAdresse e-mail validée de eecs.harvard.edu
Thang D BuiLecturer, Australian National UniversityAdresse e-mail validée de anu.edu.au
Jorge Aguilera-IparraguirreRecursion PharmaceuticalsAdresse e-mail validée de recursionpharma.com
David DuvenaudAssociate Professor, University of TorontoAdresse e-mail validée de cs.toronto.edu

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José Miguel Hernández-Lobato

Professor of Machine Learning, University of Cambridge

Adresse e-mail validée de cam.ac.uk - Page d'accueil

Bayesian deep learning approximate inference deep generative modeling automatic molecular design reinforcement learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Automatic chemical design using a data-driven continuous representation of molecules R Gómez-Bombarelli, JN Wei, D Duvenaud, JM Hernández-Lobato, ... ACS central science 4 (2), 268-276, 2018	2645	2018
Probabilistic backpropagation for scalable learning of bayesian neural networks JM Hernández-Lobato, R Adams International conference on machine learning, 1861-1869, 2015	982	2015
Grammar variational autoencoder MJ Kusner, B Paige, JM Hernández-Lobato International conference on machine learning, 1945-1954, 2017	898	2017
Minerva: Enabling low-power, highly-accurate deep neural network accelerators B Reagen, P Whatmough, R Adolf, S Rama, H Lee, SK Lee, ... ACM SIGARCH Computer Architecture News 44 (3), 267-278, 2016	704	2016
Predictive entropy search for efficient global optimization of black-box functions JM Hernández-Lobato, MW Hoffman, Z Ghahramani Advances in neural information processing systems 27, 2014	688	2014
Gans for sequences of discrete elements with the gumbel-softmax distribution MJ Kusner, JM Hernández-Lobato arXiv preprint arXiv:1611.04051, 2016	341	2016
Decomposition of uncertainty in Bayesian deep learning for efficient and risk-sensitive learning S Depeweg, JM Hernandez-Lobato, F Doshi-Velez, S Udluft International Conference on Machine Learning, 1184-1193, 2018	315	2018
Deep Gaussian processes for regression using approximate expectation propagation T Bui, D Hernández-Lobato, J Hernandez-Lobato, Y Li, R Turner International conference on machine learning, 1472-1481, 2016	252	2016
Constrained Bayesian optimization for automatic chemical design using variational autoencoders RR Griffiths, JM Hernández-Lobato Chemical science 11 (2), 577-586, 2020	243	2020
Black-box alpha divergence minimization J Hernandez-Lobato, Y Li, M Rowland, T Bui, D Hernández-Lobato, ... International conference on machine learning, 1511-1520, 2016	242	2016
Predictive entropy search for multi-objective bayesian optimization D Hernández-Lobato, J Hernandez-Lobato, A Shah, R Adams International conference on machine learning, 1492-1501, 2016	220	2016
Deterministic variational inference for robust bayesian neural networks A Wu, S Nowozin, E Meeds, RE Turner, JM Hernandez-Lobato, AL Gaunt arXiv preprint arXiv:1810.03958, 2018	181	2018
Learning and policy search in stochastic dynamical systems with bayesian neural networks S Depeweg, JM Hernández-Lobato, F Doshi-Velez, S Udluft arXiv preprint arXiv:1605.07127, 2016	174	2016
Probabilistic matrix factorization with non-random missing data JM Hernández-Lobato, N Houlsby, Z Ghahramani International conference on machine learning, 1512-1520, 2014	171	2014
Parallel and distributed Thompson sampling for large-scale accelerated exploration of chemical space JM Hernández-Lobato, J Requeima, EO Pyzer-Knapp, A Aspuru-Guzik International conference on machine learning, 1470-1479, 2017	161	2017
Sequence tutor: Conservative fine-tuning of sequence generation models with kl-control N Jaques, S Gu, D Bahdanau, JM Hernández-Lobato, RE Turner, D Eck International Conference on Machine Learning, 1645-1654, 2017	157	2017
A general framework for constrained Bayesian optimization using information-based search JM Hernández-Lobato, MA Gelbart, RP Adams, MW Hoffman, ... MIT Press, 2016	152	2016
Predictive entropy search for Bayesian optimization with unknown constraints JM Hernández-Lobato, M Gelbart, M Hoffman, R Adams, Z Ghahramani International conference on machine learning, 1699-1707, 2015	150	2015
Stochastic expectation propagation Y Li, JM Hernández-Lobato, RE Turner Advances in neural information processing systems 28, 2015	145	2015
Collaborative gaussian processes for preference learning N Houlsby, F Huszar, Z Ghahramani, J Hernández-lobato Advances in neural information processing systems 25, 2012	140	2012

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