Ali Taylan Cemgil

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Umut SimsekliINRIA - École Normale SupérieureVerified email at inria.fr
Simon GodsillUniversity of CambridgeVerified email at eng.cam.ac.uk
Hilbert Johan KappenRadboud UniversityVerified email at science.ru.nl
Beyza ErmişAmazon ResearchVerified email at boun.edu.tr
Barış KurtBogazici UniversityVerified email at boun.edu.tr
David BarberDepartment of Computer Science, University College LondonVerified email at ucl.ac.uk
Onur DikmenHalmstad UniversityVerified email at hh.se
Pushmeet KohliDeepMindVerified email at google.com
Kenan YILMAZVerified email at paloAltoNetworks.com
Krishnamurthy DvijothamResearch Scientist, Google BrainVerified email at cs.washington.edu
Sven GowalDeepMindVerified email at deepmind.com
Cédric FévotteCNRS Research Director @ IRIT, ANITI, Univ. ToulouseVerified email at irit.fr
Tuomas VirtanenTampere UniversityVerified email at tuni.fi
Sinan YıldırımDr, Sabancı UniversityVerified email at sabanciuniv.edu
Lale AkarunProfessor of Computer Engineering, Bogazici UniversityVerified email at boun.edu.tr
Evrim AcarSimula Research LabVerified email at simula.no
Ben KroseProfessor Emeritus, Amsterdam University of Applied Science; Professor, University of AmsterdamVerified email at hva.nl
Murat SaraclarProfessor of Electrical and Electronic Engineering, Bogazici UniversityVerified email at boun.edu.tr
Cemil DemirVoysVerified email at voys.ai
Nick WhiteleyUniversity of BristolVerified email at bristol.ac.uk

Ali Taylan Cemgil

Research Scientist, DeepMind UK

Verified email at google.com - Homepage

Bayesian Machine Learning


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Bayesian inference for nonnegative matrix factorisation models AT Cemgil Computational intelligence and neuroscience 2009, 2009	518	2009
Bayesian time series models D Barber, AT Cemgil, S Chiappa Cambridge University Press, 2011	351	2011
On tempo tracking: Tempogram representation and Kalman filtering AT Cemgil, B Kappen, P Desain, H Honing Journal of New Music Research 29 (4), 259-273, 2000	262	2000
Bayesian extensions to non-negative matrix factorisation for audio signal modelling T Virtanen, AT Cemgil, S Godsill 2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008	200	2008
A generative model for music transcription AT Cemgil, HJ Kappen, D Barber IEEE Transactions on Audio, Speech, and Language Processing 14 (2), 679-694, 2006	172	2006
Contrastive training for improved out-of-distribution detection J Winkens, R Bunel, AG Roy, R Stanforth, V Natarajan, JR Ledsam, ... arXiv preprint arXiv:2007.05566, 2020	153	2020
Nonnegative matrix factorizations as probabilistic inference in composite models C Févotte, AT Cemgil 2009 17th European Signal Processing Conference, 1913-1917, 2009	150	2009
Link prediction in heterogeneous data via generalized coupled tensor factorization B Ermiş, E Acar, AT Cemgil Data Mining and Knowledge Discovery 29, 203-236, 2015	149	2015
Monte Carlo methods for tempo tracking and rhythm quantization AT Cemgil, B Kappen Journal of artificial intelligence research 18, 45-81, 2003	140	2003
Rhythm quantization for transcription AT Cemgil, P Desain, B Kappen Computer Music Journal 24 (2), 60-76, 2000	132	2000
Generalised coupled tensor factorisation K Yılmaz, A Cemgil, U Simsekli Advances in neural information processing systems 24, 2011	126	2011
Morphology of the mandibular fossa and inclination of the articular eminence in patients with internal derangement and in symptom-free volunteers T Sülün, T Cemgil, JMP Duc, P Rammelsberg, L Jäger, W Gernet Oral Surgery, Oral Medicine, Oral Pathology, Oral Radiology, and …, 2001	118	2001
Model-based localization and tracking using bluetooth low-energy beacons FS Daniş, AT Cemgil Sensors 17 (11), 2484, 2017	100	2017
Bayesian music transcription AT Cemgil [Sl: sn], 2004	98	2004
Bayesian Modelling of Temporal Structure in Musical Audio. N Whiteley, AT Cemgil, SJ Godsill ISMIR, 29-34, 2006	88	2006
A fine-grained analysis on distribution shift O Wiles, S Gowal, F Stimberg, S Alvise-Rebuffi, I Ktena, K Dvijotham, ... arXiv preprint arXiv:2110.11328, 2021	85	2021
Graphical models for time-series D Barber, AT Cemgil IEEE Signal Processing Magazine 27 (6), 18-28, 2010	85	2010
Variational and stochastic inference for Bayesian source separation AT Cemgil, C Févotte, SJ Godsill Digital Signal Processing 17 (5), 891-913, 2007	71	2007
Does your dermatology classifier know what it doesn’t know? detecting the long-tail of unseen conditions AG Roy, J Ren, S Azizi, A Loh, V Natarajan, B Mustafa, N Pawlowski, ... Medical Image Analysis 75, 102274, 2022	65	2022
Stochastic quasi-newton langevin monte carlo U Simsekli, R Badeau, T Cemgil, G Richard International Conference on Machine Learning, 642-651, 2016	65	2016

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