Iain Murray

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George PapamakariosGoogle DeepMindPotvrđena adresa e-pošte na google.com
Ryan P. AdamsPrinceton UniversityPotvrđena adresa e-pošte na princeton.edu
Hugo LarochelleGoogle DeepMind & MilaPotvrđena adresa e-pošte na google.com
David MacKayProfessor of Natural Philosophy, Cavendish Laboratory, University of CambridgePotvrđena adresa e-pošte na mrao.cam.ac.uk
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 KrauseCo-founder of Psyfy AIPotvrđena adresa e-pošte na psyfy.ai
Mathieu GermainResearcher @ MilaPotvrđena adresa e-pošte na usherbrooke.ca
Asa Cooper SticklandPostdoctoral Researcher, New York UniversityPotvrđena adresa e-pošte na ed.ac.uk
David MimnoAssociate Professor, Cornell UniversityPotvrđena adresa e-pošte na cornell.edu
Hanna WallachPartner Research Manager, Microsoft ResearchPotvrđena adresa e-pošte na dirichlet.net
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 otter.ai
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

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

Machine Learning Bayesian Inference Hierarchical probabilistic models Markov chain Monte Carlo


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Masked autoregressive flow for density estimation G Papamakarios, T Pavlakou, I Murray Advances in neural information processing systems 30, 2017	1594	2017
Evaluation methods for topic models HM Wallach, I Murray, R Salakhutdinov, D Mimno Proceedings of the 26th annual international conference on machine learning …, 2009	1305	2009
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	1041	2015
Neural Spline Flows C Durkan, A Bekasov, I Murray, G Papamakarios arXiv preprint arXiv:1906.04032, 2019	858	2019
The neural autoregressive distribution estimator H Larochelle, I Murray Proceedings of the fourteenth international conference on artificial …, 2011	715	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	598	2008
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	584	2021
Elliptical slice sampling I Murray, RP Adams, DJC MacKay Journal of Machine Learning Research W&CP 9, 541-548, 2010	574	2010
MCMC for doubly-intractable distributions I Murray, Z Ghahramani, DJC MacKay Proceedings of the 22nd Annual Conference on Uncertainty in Artificial …, 2006	559*	2006
Fast ε-free inference of simulation models with bayesian conditional density estimation G Papamakarios, I Murray Advances in neural information processing systems 29, 2016	457	2016
Neural autoregressive distribution estimation B Uria, MA Côté, K Gregor, I Murray, H Larochelle Journal of Machine Learning Research 17 (205), 1-37, 2016	425	2016
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	396	2019
BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning AC Stickland, I Murray arXiv preprint arXiv:1902.02671, 2019	306	2019
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	290	2009
Slice sampling covariance hyperparameters of latent Gaussian models I Murray, RP Adams Advances in neural information processing systems 23, 2010	284	2010
RNADE: The real-valued neural autoregressive density-estimator B Uria, I Murray, H Larochelle Advances in Neural Information Processing Systems 26, 2013	275	2013
Multiplicative LSTM for sequence modelling B Krause, L Lu, I Murray, S Renals arXiv preprint arXiv:1609.07959, 2016	259	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	227	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	196	2014
Dynamic evaluation of neural sequence models B Krause, E Kahembwe, I Murray, S Renals International Conference on Machine Learning, 2766-2775, 2018	148	2018

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