| Generalised coupled tensor factorisation K Yılmaz, A Cemgil, U Simsekli Advances in neural information processing systems 24, 2151-2159, 2011 | 115 | 2011 |
| A tail-index analysis of stochastic gradient noise in deep neural networks U Simsekli, L Sagun, M Gurbuzbalaban International Conference on Machine Learning, 5827-5837, 2019 | 85 | 2019 |
| Generalized sliced Wasserstein distances S Kolouri, K Nadjahi, U Simsekli, R Badeau, GK Rohde arXiv preprint arXiv:1902.00434, 2019 | 64 | 2019 |
| Stochastic Quasi-Newton Langevin Monte Carlo U Simsekli, R Badeau, AT Cemgil, G Richard International Conference on Machine Learning, 2016 | 59 | 2016 |
| Sliced-Wasserstein flows: Nonparametric generative modeling via optimal transport and diffusions A Liutkus, U Simsekli, S Majewski, A Durmus, FR Stöter International Conference on Machine Learning, 4104-4113, 2019 | 44 | 2019 |
| Alpha-stable matrix factorization U Şimşekli, A Liutkus, AT Cemgil IEEE Signal Processing Letters 22 (12), 2289-2293, 2015 | 44 | 2015 |
| 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 | 36 | 2012 |
| Learning the morphology of brain signals using alpha-stable convolutional sparse coding M Jas, TD La Tour, U Şimşekli, A Gramfort arXiv preprint arXiv:1705.08006, 2017 | 34 | 2017 |
| Stochastic gradient richardson-romberg markov chain monte carlo A Durmus, U Simsekli, E Moulines, R Badeau, G Richard Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), 2016 | 30 | 2016 |
| 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 | 28 | 2017 |
| Fractional Langevin Monte Carlo: Exploring Levy Driven Stochastic Differential Equations for Markov Chain Monte Carlo U Şimşekli International Conference on Machine Learning (ICML), 2017 | 27 | 2017 |
| Automatic music genre classification using bass lines U Şimşekli 2010 20th International Conference on Pattern Recognition, 4137-4140, 2010 | 27 | 2010 |
| Speech enhancement with variational autoencoders and alpha-stable distributions S Leglaive, U Şimşekli, A Liutkus, L Girin, R Horaud ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 26 | 2019 |
| Bayesian pose graph optimization via bingham distributions and tempered geodesic mcmc T Birdal, U Şimşekli, MO Eken, S Ilic arXiv preprint arXiv:1805.12279, 2018 | 25 | 2018 |
| The heavy-tail phenomenon in sgd M Gurbuzbalaban, U Simsekli, L Zhu International Conference on Machine Learning, 3964-3975, 2021 | 24 | 2021 |
| 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 | 24 | 2013 |
| 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 | 23 | 2012 |
| Asymptotic guarantees for learning generative models with the sliced-wasserstein distance K Nadjahi, A Durmus, U Şimşekli, R Badeau arXiv preprint arXiv:1906.04516, 2019 | 22 | 2019 |
| A generative model for non-intrusive load monitoring in commercial buildings S Henriet, U Şimşekli, B Fuentes, G Richard Energy and Buildings 177, 268-278, 2018 | 21 | 2018 |
| Asynchronous stochastic quasi-Newton MCMC for non-convex optimization U Simsekli, C Yildiz, TH Nguyen, T Cemgil, G Richard International Conference on Machine Learning, 4674-4683, 2018 | 19 | 2018 |
Ali Taylan CemgilResearch Scientist, DeepMind UKVerified email at google.com
