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
272018
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
Diagonal rnns in symbolic music modeling
YC Subakan, P Smaragdis
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
142017
Spectral learning of mixture of hidden markov models
C Subakan, J Traa, P Smaragdis
Advances in Neural Information Processing Systems, 2249-2257, 2014
142014
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
112017
Probabilistic sequence clustering with spectral learning
YC Sübakan, B Kurt, AT Cemgil, B Sankur
Digital Signal Processing 29, 1-19, 2014
82014
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
72020
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
72015
Learning the base distribution in implicit generative models
C Subakan, O Koyejo, P Smaragdis
arXiv preprint arXiv:1803.04357, 2018
52018
Probabilistic time series classification
YC Sübakan
Master’s thesis, Bogaziçi University, 2011. 72, 2013
42013
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
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
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
Two-Step Sound Source Separation: Training on Learned Latent Targets (Presentation)
E Tzinis, S Venkataramani, Z Wang, C Subakan, P Smaragdis
2020
A generative modeling approach for interpreting population-level variability in brain structure
R Liu, C Subakan, AH Balwani, JD Whitesell, JA Harris, S Koyejo, E Dyer
bioRxiv, 2020
2020
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
2019
Generative modeling of sequential data
YC Subakan
University of Illinois at Urbana-Champaign, 2018
2018
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Articles 1–20