| Bayesian inference for nonnegative matrix factorisation models AT Cemgil Computational intelligence and neuroscience 2009 (1), 785152, 2009 | 540 | 2009 |
| Bayesian time series models D Barber, AT Cemgil, S Chiappa Cambridge University Press, 2011 | 417 | 2011 |
| 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 | 272 | 2020 |
| 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 | 264 | 2000 |
| 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 | 255 | 2021 |
| 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 | 208 | 2008 |
| Faster sorting algorithms discovered using deep reinforcement learning DJ Mankowitz, A Michi, A Zhernov, M Gelmi, M Selvi, C Paduraru, ... Nature 618 (7964), 257-263, 2023 | 206 | 2023 |
| 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 | 185 | 2006 |
| 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 | 170 | 2015 |
| Nonnegative matrix factorizations as probabilistic inference in composite models C Févotte, AT Cemgil 2009 17th European Signal Processing Conference, 1913-1917, 2009 | 161 | 2009 |
| Monte Carlo methods for tempo tracking and rhythm quantization AT Cemgil, B Kappen Journal of artificial intelligence research 18, 45-81, 2003 | 147 | 2003 |
| Rhythm quantization for transcription AT Cemgil, P Desain, B Kappen Computer Music Journal 24 (2), 60-76, 2000 | 136 | 2000 |
| 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 | 135 | 2001 |
| Importance sampling for model-based reinforcement learning O Sönmez, AT Cemgil 2012 20th Signal Processing and Communications Applications Conference (SIU …, 2012 | 131 | 2012 |
| Generalised coupled tensor factorisation K Yılmaz, A Cemgil, U Simsekli Advances in neural information processing systems 24, 2011 | 128 | 2011 |
| 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 | 127 | 2022 |
| Model-based localization and tracking using bluetooth low-energy beacons FS Daniş, AT Cemgil Sensors 17 (11), 2484, 2017 | 121 | 2017 |
| Bayesian music transcription AT Cemgil Sl: sn, 2004 | 102 | 2004 |
| Learning optimal conformal classifiers D Stutz, AT Cemgil, A Doucet arXiv preprint arXiv:2110.09192, 2021 | 96 | 2021 |
| Bayesian Modelling of Temporal Structure in Musical Audio. N Whiteley, AT Cemgil, SJ Godsill ISMIR, 29-34, 2006 | 95 | 2006 |
Umut SimsekliINRIA - École Normale Supérieureinria.fr의 이메일 확인됨
