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
242018
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
172011
Diagonal rnns in symbolic music modeling
YC Subakan, P Smaragdis
2017 IEEE Workshop on Applications of Signal Processing to Audio and …, 2017
132017
Spectral learning of mixture of hidden markov models
C Subakan, J Traa, P Smaragdis
Advances in Neural Information Processing Systems, 2249-2257, 2014
132014
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
82014
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
42018
Probabilistic time series classification
YC Sübakan
Boğaziçi University, 2013
32013
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
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
22020
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
Two-Step Sound Source Separation: Training on Learned Latent Targets (Presentation)
E Tzinis, S Venkataramani, Z Wang, C Subakan, P Smaragdis
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
Spectral Learning for Mixture of Markov Models Supplemental Material
YC Sübakan, B Kurt, AT Cemgil, B Sankur
2013
Stereo matching with partial information
YC Sübakan, ÖC Gürol, Ç Dikici
Three-Dimensional Image Processing (3DIP) and Applications 2013 8650, 86500U, 2013
2013
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