Y. Cem Sübakan

According to our database, Y. Cem Sübakan authored at least 18 papers between 2011 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

On the Effectiveness of Two-Step Learning for Latent-Variable Models.

Y. Cem Sübakan, Maxime Gasse, Laurent Charlin

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Two-Step Sound Source Separation: Training On Learned Latent Targets.

Efthymios Tzinis, Shrikant Venkataramani, Zhepei Wang, Y. Cem Sübakan, Paris Smaragdis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Continual Learning of New Sound Classes Using Generative Replay.

Zhepei Wang, Y. Cem Sübakan, Efthymios Tzinis, Paris Smaragdis, Laurent Charlin

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

2018

Generative modeling of sequential data

Yusuf Cem Sübakan

PhD thesis, 2018

Learning the Base Distribution in Implicit Generative Models.

Y. Cem Sübakan, Oluwasanmi Koyejo, Paris Smaragdis

CoRR, 2018

Generative Adversarial Source Separation.

Y. Cem Sübakan, Paris Smaragdis

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Neural Network Alternatives to Convolutive Audio Models for Source Separation.

Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis

CoRR, 2017

Diagonal rnns in symbolic music modeling.

Y. Cem Sübakan, Paris Smaragdis

Proceedings of the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2017

Neural network alternatives toconvolutive audio models for source separation.

Shrikant Venkataramani, Y. Cem Sübakan, Paris Smaragdis

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2015

A Dictionary Learning Approach for Factorial Gaussian Models.

Y. Cem Sübakan, Johannes Traa, Paris Smaragdis, Noah D. Stein

CoRR, 2015

Method of moments learning for left-to-right Hidden Markov models.

Y. Cem Sübakan, Johannes Traa, Paris Smaragdis, Daniel J. Hsu

Proceedings of the 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2015

2014

Probabilistic sequence clustering with spectral learning.

Yusuf Cem Sübakan, Baris Kurt, A. Taylan Cemgil, Bülent Sankur

Digit. Signal Process., 2014

Spectral Learning of Mixture of Hidden Markov Models.

Y. Cem Sübakan, Johannes Traa, Paris Smaragdis

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Spectral learning of mixtures of Hidden Markov Models.

Yusuf Cem Sübakan, Oya Çeliktutan, Ali Taylan Cemgil, Bülent Sankur

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Stereo matching with partial information.

Y. Cem Sübakan, Ömer Can Gürol, Çagatay Dikici

Proceedings of the Three-Dimensional Image Processing (3DIP) and Applications 2013, 2013

2012

Model based Bayesian curve compression.

Yusuf Cem Sübakan, Bülent Sankur, Ceyhun Burak Akgül

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Model based probabilistic piecewise curve approximation.

Yusuf Cem Sübakan, Bülent Sankur

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Probabilistic latent tensor factorization framework for audio modeling.

Ali Taylan Cemgil, Umut Simsekli, Yusuf Cem Sübakan

Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2011