Cem Subakan
Cem Subakan
Montreal Institute of Learning Algorithms (MILA)
Verified email at boun.edu.tr - Homepage
Title
Cited by
Cited by
Year
Generative adversarial source separation
YC Subakan, P Smaragdis
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
332018
Diagonal rnns in symbolic music modeling
YC Subakan, P Smaragdis
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
162017
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
162011
Two-step sound source separation: Training on learned latent targets
E Tzinis, S Venkataramani, Z Wang, C Subakan, P Smaragdis
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
152020
Spectral learning of mixture of hidden markov models
C Subakan, J Traa, P Smaragdis
Advances in Neural Information Processing Systems 27, 2249-2257, 2014
152014
Neural network alternatives toconvolutive audio models for source separation
S Venkataramani, C Subakan, P Smaragdis
2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017
122017
Probabilistic sequence clustering with spectral learning
YC Sübakan, B Kurt, AT Cemgil, B Sankur
Digital Signal Processing 29, 1-19, 2014
92014
Method of moments learning for left-to-right hidden Markov models
YC Subakan, J Traa, P Smaragdis, D Hsu
2015 IEEE workshop on applications of signal processing to audio and …, 2015
82015
Speechbrain
M Ravanelli, T Parcollet, A Rouhe, P Plantinga, E Rastorgueva, ...
62021
Learning the base distribution in implicit generative models
C Subakan, O Koyejo, P Smaragdis
arXiv preprint arXiv:1803.04357, 2018
62018
Attention is All You Need in Speech Separation
C Subakan, M Ravanelli, S Cornell, M Bronzi, J Zhong
arXiv preprint arXiv:2010.13154, 2020
42020
An automatic maneuver assessment system for R/C aerobatic model helicopter competitions
YC Sübakan, O Ağcaoğlu, B Sankur
2011 IEEE 19th Signal Processing and Communications Applications Conference …, 2011
32011
Probabilistic time series classification
YC Sübakan
Master's thesis, Boğaziçi University, 2011
32011
Continual Learning of New Sound Classes Using Generative Replay
Z Wang, C Subakan, E Tzinis, P Smaragdis, L Charlin
2019 IEEE Workshop on Applications of Signal Processing to Audio and …, 2019
12019
A dictionary learning approach for factorial gaussian models
YC Subakan, J Traa, P Smaragdis, N Stein
arXiv preprint arXiv:1508.04486, 2015
12015
Spectral learning of mixtures of Hidden Markov Models
YC Sübakan, O Çeliktutan, AT Cemgil, B Sankur
2013 21st Signal Processing and Communications Applications Conference (SIU …, 2013
12013
Spectral Learning for Mixture of Markov Models
YC Subakan, B Kurt, AT Cemgil, B Sankur
Neural Information Processing Systems, 2013
12013
Spectral Learning of Infinite Mixture of Hidden Markov Models for Human Action Recognition
YC Sübakan, O Celiktutan, AT Cemgil, B Sankur
Neural Information Processing Systems, Spectral Learning for Latent Variable …, 2012
12012
A generative modeling approach for interpreting population-level variability in brain structure
R Liu, C Subakan, AH Balwani, J Whitesell, J Harris, S Koyejo, EL Dyer
International Conference on Medical Image Computing and Computer-Assisted …, 2020
2020
On the Effectiveness of Two-Step Learning for Latent-Variable Models
C Subakan, M Gasse, L Charlin
2020 IEEE 30th International Workshop on Machine Learning for Signal …, 2020
2020
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Articles 1–20