‪José Miguel Hernández-Lobato‬

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Suautori

Richard E TurnerProfessor, University of CambridgePotvrđena adresa e-pošte na cam.ac.uk
Daniel Hernández-LobatoAssociate Professor, Universidad Autónoma de MadridPotvrđena adresa e-pošte na uam.es
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GooglePotvrđena adresa e-pošte na eng.cam.ac.uk
Ryan P. AdamsPrinceton UniversityPotvrđena adresa e-pošte na princeton.edu
Javier AntoranUniversity of CambridgePotvrđena adresa e-pošte na cam.ac.uk
Cheng ZhangGenAI, MetaPotvrđena adresa e-pošte na meta.com
Yingzhen LiImperial College LondonPotvrđena adresa e-pošte na imperial.ac.uk
Alan Aspuru-GuzikProfessor of Chemistry and Computer Science, University of Toronto (starting July 1, 2018)Potvrđena adresa e-pošte na utoronto.ca
Sebastian TschiatschekUniversity of ViennaPotvrđena adresa e-pošte na univie.ac.at
Brooks PaigeAssociate Professor, University College LondonPotvrđena adresa e-pošte na ucl.ac.uk
Matt J. KusnerUniversity College LondonPotvrđena adresa e-pošte na ucl.ac.uk
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHPotvrđena adresa e-pošte na tuebingen.mpg.de
Austin TrippValence LabsPotvrđena adresa e-pošte na valencelabs.com
Eric NalisnickAssistant Professor, Johns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Chao MaSenior Researcher, Microsoft Research CambridgePotvrđena adresa e-pošte na microsoft.com
Neil HoulsbyGooglePotvrđena adresa e-pošte na google.com
Thang D BuiLecturer, Australian National UniversityPotvrđena adresa e-pošte na anu.edu.au
James Urquhart AllinghamGoogle DeepMindPotvrđena adresa e-pošte na cam.ac.uk
Gregor N. C. SimmMicrosoft ResearchPotvrđena adresa e-pošte na microsoft.com
David BrooksHaley Family Professor of Computer Science, Harvard UniversityPotvrđena adresa e-pošte na eecs.harvard.edu

Prati

José Miguel Hernández-Lobato

Professor of Machine Learning, University of Cambridge

Potvrđena adresa e-pošte na cam.ac.uk - Početna stranica

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


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	3712	2018
Probabilistic backpropagation for scalable learning of bayesian neural networks JM Hernández-Lobato, R Adams International conference on machine learning, 1861-1869, 2015	1212	2015
Grammar variational autoencoder MJ Kusner, B Paige, JM Hernández-Lobato International conference on machine learning, 1945-1954, 2017	1186	2017
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	861	2014
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	778	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	497	2018
Constrained Bayesian Optimization for Automatic Chemical Design RR Griffiths, JM Hernández-Lobato arXiv preprint arXiv:1709.05501, 2017	471*	2017
Gans for sequences of discrete elements with the gumbel-softmax distribution MJ Kusner, JM Hernández-Lobato arXiv preprint arXiv:1611.04051, 2016	389	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	287	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	283	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	281	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	234	2018
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	228	2017
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	215	2016
Probabilistic matrix factorization with non-random missing data JM Hernández-Lobato, N Houlsby, Z Ghahramani International conference on machine learning, 1512-1520, 2014	207	2014
A general framework for constrained Bayesian optimization using information-based search JM Hern, MA Gelbart, RP Adams, MW Hoffman, Z Ghahramani Journal of Machine Learning Research 17 (160), 1-53, 2016	202	2016
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	199	2017
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	195	2015
Collaborative gaussian processes for preference learning N Houlsby, F Huszar, Z Ghahramani, J Hernández-lobato Advances in neural information processing systems 25, 2012	164	2012
Sample-efficient optimization in the latent space of deep generative models via weighted retraining A Tripp, E Daxberger, JM Hernández-Lobato Advances in Neural Information Processing Systems 33, 11259-11272, 2020	162	2020

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