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ORCIDY. Cem Sübakan
Person information
- affiliation: University of Illinois at Urbana-Champaign, IL, USA
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Books and Theses
- 2018
[b1]Yusuf Cem Sübakan:
Generative modeling of sequential data. University of Illinois Urbana-Champaign, USA, 2018
Journal Articles
- 2014
- [j1]Yusuf Cem Sübakan, Baris Kurt, A. Taylan Cemgil
, Bülent Sankur:
Probabilistic sequence clustering with spectral learning. Digit. Signal Process. 29: 1-19 (2014)
Conference and Workshop Papers
- 2020
- [c13]Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis:
Two-Step Sound Source Separation: Training On Learned Latent Targets. ICASSP 2020: 31-35 - [c12]Y. Cem Sübakan, Maxime Gasse, Laurent Charlin:
On the Effectiveness of Two-Step Learning for Latent-Variable Models. MLSP 2020: 1-6 - 2019
- [c11]Zhepei Wang, Y. Cem Sübakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin:
Continual Learning of New Sound Classes Using Generative Replay. WASPAA 2019: 308-312 - 2018
- [c10]Y. Cem Sübakan, Paris Smaragdis:
Generative Adversarial Source Separation. ICASSP 2018: 26-30 - 2017
- [c9]Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis:
Neural network alternatives toconvolutive audio models for source separation. MLSP 2017: 1-6 - [c8]Y. Cem Sübakan, Paris Smaragdis:
Diagonal rnns in symbolic music modeling. WASPAA 2017: 354-358 - 2015
- [c7]Y. Cem Sübakan, Johannes Traa, Paris Smaragdis, Daniel J. Hsu:
Method of moments learning for left-to-right Hidden Markov models. WASPAA 2015: 1-5 - 2014
- [c6]Y. Cem Sübakan, Johannes Traa, Paris Smaragdis:
Spectral Learning of Mixture of Hidden Markov Models. NIPS 2014: 2249-2257 - 2013
- [c5]Y. Cem Sübakan, Ömer Can Gürol, Çagatay Dikici:
Stereo matching with partial information. Three-Dimensional Image Processing (3DIP) and Applications 2013: 86500U - [c4]Yusuf Cem Sübakan, Oya Çeliktutan, Ali Taylan Cemgil, Bülent Sankur:
Spectral learning of mixtures of Hidden Markov Models. SIU 2013: 1-4 - 2012
- [c3]Yusuf Cem Sübakan, Bülent Sankur:
Model based probabilistic piecewise curve approximation. EUSIPCO 2012: 669-673 - [c2]Yusuf Cem Sübakan, Bülent Sankur, Ceyhun Burak Akgül:
Model based Bayesian curve compression. SIU 2012: 1-4 - 2011
- [c1]Ali Taylan Cemgil, Umut Simsekli, Yusuf Cem Sübakan:
Probabilistic latent tensor factorization framework for audio modeling. WASPAA 2011: 137-140
Informal and Other Publications
- 2019
- [i7]Zhepei Wang, Y. Cem Sübakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin:
Continual Learning of New Sound Classes using Generative Replay. CoRR abs/1906.00654 (2019) - [i6]Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis:
Two-Step Sound Source Separation: Training on Learned Latent Targets. CoRR abs/1910.09804 (2019) - 2018
- [i5]Y. Cem Sübakan, Oluwasanmi Koyejo, Paris Smaragdis:
Learning the Base Distribution in Implicit Generative Models. CoRR abs/1803.04357 (2018) - 2017
- [i4]Y. Cem Sübakan, Paris Smaragdis:
Diagonal RNNs in Symbolic Music Modeling. CoRR abs/1704.05420 (2017) - [i3]Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis:
Neural Network Alternatives to Convolutive Audio Models for Source Separation. CoRR abs/1709.07908 (2017) - [i2]Y. Cem Sübakan, Paris Smaragdis:
Generative Adversarial Source Separation. CoRR abs/1710.10779 (2017) - 2015
- [i1]Y. Cem Sübakan, Johannes Traa, Paris Smaragdis, Noah D. Stein:
A Dictionary Learning Approach for Factorial Gaussian Models. CoRR abs/1508.04486 (2015)
Coauthor Index
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