Iain Murray

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	Sve	Od 2018.
Citati	10599	7792
H-indeks	36	32
i10-indeks	54	46

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Suautori

George PapamakariosGoogle DeepMindPotvrđena adresa e-pošte na google.com
Ryan P. AdamsPrinceton UniversityPotvrđena adresa e-pošte na princeton.edu
David MacKayProfessor of Natural Philosophy, Cavendish Laboratory, University of CambridgePotvrđena adresa e-pošte na mrao.cam.ac.uk
Hugo LarochelleGoogle DeepMind & MilaPotvrđena adresa e-pošte na google.com
Artur BekasovAmazonPotvrđena adresa e-pošte na amazon.com
Ruslan SalakhutdinovUPMC Professor, Machine Learning Department, CMUPotvrđena adresa e-pošte na cs.cmu.edu
Benigno UríaGoogle DeepMindPotvrđena adresa e-pošte na google.com
Steve RenalsUniversity of EdinburghPotvrđena adresa e-pošte na ed.ac.uk
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GooglePotvrđena adresa e-pošte na eng.cam.ac.uk
Theo PavlakouPhD student, The University of EdinburghPotvrđena adresa e-pošte na ed.ac.uk
Ben KrauseSenior Research Scientist, SalesforcePotvrđena adresa e-pošte na salesforce.com
Mathieu GermainResearcher @ MilaPotvrđena adresa e-pošte na usherbrooke.ca
David MimnoAssociate Professor, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Hanna WallachPartner Research Manager, Microsoft ResearchPotvrđena adresa e-pošte na dirichlet.net
Asa Cooper SticklandPhD student, University of EdinburghPotvrđena adresa e-pošte na ed.ac.uk
Chris WilliamsProfessor of Machine Learning, University of EdinburghPotvrđena adresa e-pošte na inf.ed.ac.uk
Liang LuStaff Speech Scientist, Otter.aiPotvrđena adresa e-pošte na ttic.edu
Emmanuel KahembweVDE, The University of Edinburgh, Heriot-Watt University & The Edinburgh Centre for RoboticsPotvrđena adresa e-pošte na ed.ac.uk
Marc-Alexandre CôtéMicrosoft ResearchPotvrđena adresa e-pošte na usherbrooke.ca
George E. DahlGoogle Inc.Potvrđena adresa e-pošte na google.com

Prati

Iain Murray

School of Informatics, University of Edinburgh and Amazon

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

Machine Learning Bayesian Inference Hierarchical probabilistic models Markov chain Monte Carlo Density Estimation


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Evaluation methods for topic models HM Wallach, I Murray, R Salakhutdinov, D Mimno Proceedings of the 26th annual international conference on machine learning …, 2009	1188	2009
Masked autoregressive flow for density estimation G Papamakarios, T Pavlakou, I Murray Advances in neural information processing systems 30, 2017	1180	2017
MADE: Masked Autoencoder for Distribution Estimation M Germain, K Gregor, I Murray, H Larochelle Proceedings of the 32nd International Conference on Machine Learning, JMLR W …, 2015	817	2015
The neural autoregressive distribution estimator H Larochelle, I Murray Proceedings of the fourteenth international conference on artificial …, 2011	655	2011
On the quantitative analysis of deep belief networks R Salakhutdinov, I Murray Proceedings of the 25th international conference on Machine learning, 872-879, 2008	569	2008
Neural Spline Flows C Durkan, A Bekasov, I Murray, G Papamakarios arXiv preprint arXiv:1906.04032, 2019	559	2019
MCMC for doubly-intractable distributions I Murray, Z Ghahramani, DJC MacKay Proceedings of the 22nd Annual Conference on Uncertainty in Artificial …, 2006	522*	2006
Elliptical slice sampling I Murray, RP Adams, DJC MacKay Journal of Machine Learning Research W&CP 9, 541-548, 2010	517	2010
Neural autoregressive distribution estimation B Uria, MA Côté, K Gregor, I Murray, H Larochelle The Journal of Machine Learning Research 17 (1), 7184-7220, 2016	343	2016
Fast ε-free inference of simulation models with bayesian conditional density estimation G Papamakarios, I Murray Advances in neural information processing systems 29, 2016	319	2016
Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities RP Adams, I Murray, DJC MacKay Proceedings of the 26th annual international conference on machine learning …, 2009	273	2009
Maximum likelihood training of score-based diffusion models Y Song, C Durkan, I Murray, S Ermon Advances in Neural Information Processing Systems 34, 1415-1428, 2021	271	2021
Sequential neural likelihood: Fast likelihood-free inference with autoregressive flows G Papamakarios, D Sterratt, I Murray The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	268	2019
Slice sampling covariance hyperparameters of latent Gaussian models I Murray, RP Adams Advances in neural information processing systems 23, 2010	261	2010
RNADE: The real-valued neural autoregressive density-estimator B Uria, I Murray, H Larochelle Advances in Neural Information Processing Systems 26, 2013	256	2013
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning AC Stickland, I Murray arXiv preprint arXiv:1902.02671, 2019	232	2019
Multiplicative LSTM for sequence modelling B Krause, L Lu, I Murray, S Renals arXiv preprint arXiv:1609.07959, 2016	225	2016
A Framework for Evaluating Approximation Methods for Gaussian Process Regression K Chalupka, CKI Williams, I Murray Journal of Machine Learning Research 14, 333-350, 2013	199	2013
A deep and tractable density estimator B Uria, I Murray, H Larochelle Proceedings of The 31st International Conference on Machine Learning, JMLR W …, 2014	173	2014
Dynamic evaluation of neural sequence models B Krause, E Kahembwe, I Murray, S Renals International Conference on Machine Learning, 2766-2775, 2018	135	2018

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