José Miguel Hernández-Lobato

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Coauteurs

Daniel Hernández-LobatoLecturer of Computer Science, Universidad Autónoma de MadridAdresse e-mail validée de uam.es
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
Richard E TurnerProfessor, University of CambridgeAdresse e-mail validée de cam.ac.uk
Yingzhen LiImperial College LondonAdresse e-mail validée de imperial.ac.uk
Alan Aspuru-GuzikProfessor of Chemistry and Computer Science, University of Toronto (starting July 1, 2018)Adresse e-mail validée de utoronto.ca
Matt J. KusnerAssociate Professor, University College LondonAdresse e-mail validée de ucl.ac.uk
Cheng ZhangMicrosoft Research, CambridgeAdresse e-mail validée de kth.se
Brooks PaigeAssociate Professor, University College LondonAdresse e-mail validée de ucl.ac.uk
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 WeiProfessor of EE and CS, Harvard UniversityAdresse e-mail validée de eecs.harvard.edu
Thang D BuiResearch Scientist, Uber AI; Lecturer, University of SydneyAdresse e-mail validée de sydney.edu.au
Sebastian NowozinPartner Researcher, Microsoft Research (Cambridge, UK)Adresse e-mail validée de microsoft.com
Alberto SuárezProfessor of Artificial Intelligence, Computer Science Department, Universidad Autónoma de MadridAdresse e-mail validée de uam.es
Jorge Aguilera-IparraguirreRecursion PharmaceuticalsAdresse e-mail validée de recursionpharma.com
David DuvenaudAssistant Professor, University of TorontoAdresse e-mail validée de cs.toronto.edu
Matthew W. HoffmanUniversity of CambridgeAdresse e-mail validée de cam.ac.uk
Stefan DepewegSiemens AGAdresse e-mail validée de uos.de
Steffen UdluftLearning Systems, SiemensAdresse e-mail validée de siemens.com

José Miguel Hernández-Lobato

University Lecturer (US Assistant Professor) 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	1051	2018
Probabilistic backpropagation for scalable learning of bayesian neural networks JM Hernández-Lobato, R Adams International Conference on Machine Learning, 1861-1869, 2015	536	2015
Minerva: Enabling low-power, highly-accurate deep neural network accelerators B Reagen, P Whatmough, R Adolf, S Rama, H Lee, SK Lee, ... 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture …, 2016	411	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, 918-926, 2014	411	2014
Grammar variational autoencoder MJ Kusner, B Paige, JM Hernández-Lobato arXiv preprint arXiv:1703.01925, 2017	350	2017
Gans for sequences of discrete elements with the gumbel-softmax distribution MJ Kusner, JM Hernández-Lobato arXiv preprint arXiv:1611.04051, 2016	194	2016
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	150	2016
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	142	2016
Collaborative Gaussian processes for preference learning N Houlsby, F Huszar, Z Ghahramani, J Hernández-lobato Advances in neural information processing systems 25, 2096-2104, 2012	112	2012
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	108	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	101	2016
Stochastic expectation propagation Y Li, JM Hernández-Lobato, RE Turner Advances in neural information processing systems 28, 2323-2331, 2015	93	2015
Generalized spike-and-slab priors for Bayesian group feature selection using expectation propagation D Hernández-Lobato, JM Hernández-Lobato, P Dupont The Journal of Machine Learning Research 14 (1), 1891-1945, 2013	93	2013
Probabilistic matrix factorization with non-random missing data JM Hernández-Lobato, N Houlsby, Z Ghahramani International Conference on Machine Learning, 1512-1520, 2014	89	2014
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	85	2015
Parallel and distributed Thompson sampling for large-scale accelerated exploration of chemical space JM Hernández-Lobato, J Requeima, EO Pyzer-Knapp, A Aspuru-Guzik arXiv preprint arXiv:1706.01825, 2017	81	2017
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	79	2018
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	76	2017
A general framework for constrained Bayesian optimization using information-based search JM Hernández-Lobato, MA Gelbart, RP Adams, MW Hoffman, ... The Journal of Machine Learning Research 17 (1), 5549-5601, 2016	74	2016
Robust multi-class Gaussian process classification D Hernández-Lobato, JM Hernández-Lobato, P Dupont Advances in neural information processing systems, 280-288, 2011	61	2011

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