Andreas Damianou

Cited by

	All	Since 2018
Citations	3484	2905
h-index	24	22
i10-index	32	30

800

400

200

600

20122013201420152016201720182019202020212022202312 20 63 97 144 231 270 395 574 720 786 155

Public access

View all

9 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Neil D. LawrenceUniversity of CambridgeVerified email at cl.cam.ac.uk
Zhenwen DaiSpotifyVerified email at spotify.com
Carl Henrik EkUniversity of CambridgeVerified email at cam.ac.uk
Shell Xu HuSamsung AI Center - CambridgeVerified email at samsung.com
Javier GonzálezMicrosoft Research CambridgeVerified email at microsoft.com
Tony J PrescottProfessor of Cognitive Robotics, University of Sheffield, UKVerified email at sheffield.ac.uk
Michalis TitsiasDeepMindVerified email at google.com
Uriel Martinez-HernandezUniversity of BathVerified email at bath.ac.uk
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringVerified email at brown.edu
Maziar RaissiAssistant Professor of Applied Mathematics, University of Colorado BoulderVerified email at colorado.edu
Paris PerdikarisAssistant Professor, University of PennsylvaniaVerified email at seas.upenn.edu
James HensmanMicrosoft ResearchVerified email at microsoft.com
Sebastian FlennerhagResearch Scientist at DeepMindVerified email at google.com
Guilherme A. BarretoDepartment of Teleinformatics Engineering, Federal University of CearáVerified email at ufc.br
Kurt CutajarAmazonVerified email at amazon.com
Ashish KapoorGeneral Manager, Microsoft RedmondVerified email at microsoft.com
Deepak VasishtUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Manik VarmaPartner Researcher, Microsoft Research India; Adjunct Professor of Computer Science, IIT DelhiVerified email at microsoft.com
Grégoire PointeauRoche Pharma Research and Early DevelopmentVerified email at roche.com
Anne-Laure MEALIERVerified email at inserm.fr

Andreas Damianou

Spotify

Verified email at spotify.com - Homepage

Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Deep Gaussian processes A C. Damianou, N D. Lawrence Proceedings of the Sixteenth International Workshop on Artificial …, 2013	1122	2013
Variational information distillation for knowledge transfer S Ahn, SX Hu, A Damianou, ND Lawrence, Z Dai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	410	2019
Nonlinear information fusion algorithms for data-efficient multi-fidelity modelling P Perdikaris, M Raissi, A Damianou, ND Lawrence, GE Karniadakis Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017	271	2017
Variational inference for latent variables and uncertain inputs in Gaussian processes AC Damianou, MK Titsias, N Lawrence Journal of Machine Learning Research (JMLR), 2016	181*	2016
Variational auto-encoded deep Gaussian processes Z Dai, A Damianou, J González, N Lawrence International Conference on Learning Representations (ICLR), 2015	164	2015
Manifold relevance determination A Damianou, CH Ek, M Titsias, N Lawrence Proceedings of the 29th International Conference on Machine Learning, 145-152, 2012	143	2012
Variational gaussian process dynamical systems A Damianou, MK Titsias, ND Lawrence Advances in Neural Information Processing Systems, 2510-2518, 2011	123	2011
Deep Gaussian processes and variational propagation of uncertainty A Damianou University of Sheffield, 2015	120	2015
Empirical bayes transductive meta-learning with synthetic gradients SX Hu, PG Moreno, Y Xiao, X Shen, G Obozinski, ND Lawrence, ... International Conference on Learning Representation (ICLR), 2020	111	2020
Deep gaussian processes for multi-fidelity modeling K Cutajar, M Pullin, A Damianou, N Lawrence, J González arXiv preprint arXiv:1903.07320, 2019	85	2019
Preferential bayesian optimization J González, Z Dai, A Damianou, ND Lawrence International Conference on Machine Learning, 1282-1291, 2017	78	2017
Active learning for sparse bayesian multilabel classification D Vasisht, A Damianou, M Varma, A Kapoor Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014	69	2014
DAC-h3: a proactive robot cognitive architecture to acquire and express knowledge about the world and the self C Moulin-Frier, T Fischer, M Petit, G Pointeau, JY Puigbo, U Pattacini, ... IEEE Transactions on Cognitive and Developmental Systems 10 (4), 1005-1022, 2017	65	2017
Leveraging crowdsourcing data for deep active learning an application: Learning intents in alexa J Yang, T Drake, A Damianou, Y Maarek Proceedings of the 2018 World Wide Web Conference, 23-32, 2018	55	2018
Transferring knowledge across learning processes S Flennerhag, PG Moreno, ND Lawrence, A Damianou International Conference on Learning Representations (ICLR), 2018	51	2018
Semi-described and semi-supervised learning with Gaussian processes A Damianou, ND Lawrence 31st Conference on Uncertainty in Artificial Intelligence (UAI), 2015	38	2015
Comprehensive landscape of active deubiquitinating enzymes profiled by advanced chemoproteomics A Pinto-Fernández, S Davis, AB Schofield, HC Scott, P Zhang, E Salah, ... Frontiers in chemistry 7, 592, 2019	37	2019
An integrated probabilistic framework for robot perception, learning and memory U Martinez-Hernandez, A Damianou, D Camilleri, LW Boorman, ... 2016 IEEE International Conference on Robotics and Biomimetics (ROBIO), 1796 …, 2016	33	2016
Gaussian process models with parallelization and GPU acceleration Z Dai, A Damianou, J Hensman, N Lawrence NIPS workshop on Software Engineering for Machine Learning, 2014	33	2014
Deep Gaussian processes with convolutional kernels V Kumar, V Singh, PK Srijith, A Damianou arXiv preprint arXiv:1806.01655, 2018	30	2018

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors