| Generalised coupled tensor factorisation KY Yılmaz, AT Cemgil, U Simsekli Advances in neural information processing systems, 2151-2159, 2011 | 102 | 2011 |
| Score guided musical source separation using generalized coupled tensor factorization U Şimşekli, AT Cemgil 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 34 | 2012 |
| Alpha-stable matrix factorization U Şimşekli, A Liutkus, AT Cemgil IEEE Signal Processing Letters 22 (12), 2289-2293, 2015 | 32 | 2015 |
| Stochastic Quasi-Newton Langevin Monte Carlo U Simsekli, R Badeau, AT Cemgil, G Richard International Conference on Machine Learning, 2016 | 29 | 2016 |
| Automatic music genre classification using bass lines U Simsekli 2010 20th International Conference on Pattern Recognition, 4137-4140, 2010 | 23 | 2010 |
| Score guided audio restoration via generalised coupled tensor factorisation U Şimşekli, YK Yılmaz, AT Cemgil 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 22 | 2012 |
| Alpha-stable multichannel audio source separation S Leglaive, U Şimşekli, A Liutkus, R Badeau, G Richard 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 18 | 2017 |
| Learning the morphology of brain signals using alpha-stable convolutional sparse coding M Jas, TD La Tour, U Simsekli, A Gramfort Advances in Neural Information Processing Systems, 1099-1108, 2017 | 18 | 2017 |
| Learning the beta-divergence in Tweedie compound Poisson matrix factorization models U Simsekli, AT Cemgil, YK Yilmaz International Conference on Machine Learning, 1409-1417, 2013 | 18 | 2013 |
| Stochastic gradient Richardson-Romberg markov chain monte carlo A Durmus, U Simsekli, E Moulines, R Badeau, G Richard Advances in Neural Information Processing Systems, 2047-2055, 2016 | 17 | 2016 |
| Probabilistic latent tensor factorization framework for audio modeling AT Cemgil, U Şimşekli, YC Sübakan 2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011 | 16 | 2011 |
| Real-Time Recognition of Percussive Sounds by a Model-Based Method J Antti, E Cumhur, C A Taylan EURASIP Journal on Advances in Signal Processing 2011, 2010 | 16* | 2010 |
| Optimal weight learning for coupled tensor factorization with mixed divergences U Şimşekli, B Ermiş, AT Cemgil, E Acar 21st European Signal Processing Conference (EUSIPCO 2013), 1-5, 2013 | 14 | 2013 |
| Large scale polyphonic music transcription using randomized matrix decompositions İ An, U Şimşekli, AT Cemgil, L Akarun 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO …, 2012 | 14 | 2012 |
| Learning mixed divergences in coupled matrix and tensor factorization models U Şimşekli, AT Cemgil, B Ermiş 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 12 | 2015 |
| Non-negative source-filter dynamical system for speech enhancement U Şimşekli, J Le Roux, JR Hershey 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 12 | 2014 |
| Parallel stochastic gradient Markov Chain Monte Carlo for matrix factorisation models U Şimşekli, H Koptagel, H Güldaş, AT Cemgil, F Öztoprak, Şİ Birbil arXiv preprint arXiv:1506.01418, 2015 | 11 | 2015 |
| Non-negative tensor factorization models for Bayesian audio processing U Şimşekli, T Virtanen, AT Cemgil Digital Signal Processing 47, 178-191, 2015 | 9 | 2015 |
| Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo U Şimşekli International Conference on Machine Learning (ICML), 2017 | 8 | 2017 |
| Parallelized stochastic gradient Markov chain Monte Carlo algorithms for non-negative matrix factorization U Şimşekli, A Durmus, R Badeau, G Richard, E Moulines, AT Cemgil 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
Ali Taylan CemgilDeepMind UK, Prof. on sabbatical leave from Bogazici University, Istanbul, TurkeyVerified email at boun.edu.tr