Publications

Thesis

  • M.Sc. Thesis: “Probabilistic Time Series Classification”, pdf, slides

Journal

  • "Probabilistic Sequence Clustering with Spectral Learning’’, Elsevier Digital Signal Processing (DSP), Subakan, Y.C.; Kurt, B. ; Cemgil, A.T; Sankur, B. elsevier_link

Conference

  • “Neural Network Alternatives to Convolutive Models for Source Separation”, (Won the best student paper award) IEEE Workshop on Machine Learning for Signal Processing (MLSP) 2017, S. Venkataramani; Y.C. Subakan; P. Smaragdis arxiv_link

  • “Diagonal RNNs in Symbolic Music Modeling”, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 2017, Y. C. Subakan; P. Smaragdis; arxiv_link

  • “Method of Moments for Left-to-Right Hidden Markov Models”, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2015, Y. C. Subakan; J. Traa; P. Smaragdis; D. Hsu pdf

  • “Spectral Learning of Mixture of Hidden Markov Models”, Neural Information Processing Systems (NIPS), 2014, Y. C. Subakan; J. Traa; P. Smaragdis pdf

  • “Stereo Matching with Partial Information”, SPIE 3D Image Processing (3DIP) and Applications 2013, Subakan, Y.C.; Gurol, O.C.; Dikici, C." pdf

  • “Model Based Probabilistic Piecewise Curve Approximation”, European Signal Processing Conference (EUSIPCO) 2012, Subakan, Y.C.; Sankur, B. pdf

  • “Probabilistic Latent Tensor Factorization Framework for Audio Modeling”, in Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011, Cemgil, A.T; Simsekli, U.; Subakan, Y.C. pdf

Conference (In Turkish)

  • “Spectral Learning of Mixtures of Hidden Markov Models”, IEEE 21th Signal Processing and Communications Applications Conference (SIU), 2013, Y. C. Subakan; O. Celiktutan; A. T. Cemgil; B. Sankur (in Turkish) pdf

  • “Model Based Bayesian Curve Compression”, (Nominated for best paper award), IEEE 20th Signal Processing and Communications Applications Conference (SIU), 2012, Subakan, Y.C.; Sankur, B.; Akgul, C.B. (in Turkish) pdf

  • "A latent tensor factorization framework for non-negative convolutive models’’, IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011, Simsekli, U.; Subakan, Y.C.; Cemgil, A.T. (in Turkish) pdf

  • “An automatic maneuver assessment system for radio controlled acrobatic model helicopter competitions”, IEEE 19th Signal Processing and Communications Applications Conference (SIU), 2011, Subakan, Y.C.; Agcaoglu, O.; Sankur, B. (in Turkish) pdf

Workshop

  • " Spectral Learning for Mixture of Markov Models’’, Spectral Learning Workshop, Neural Information Processing Systems (NIPS) 2013, Subakan, Y.C.; Kurt, B. ; Cemgil, A.T; Sankur, B. pdf, supplemental, poster

  • " Spectral Learning of Infinite Mixtures of Hidden Markov Models for Human Action Recognition’’, Spectral Learning Workshop, Neural Information Processing Systems (NIPS) 2012, Subakan, Y.C.; Celiktutan O. ; Cemgil, A.T; Sankur, B. pdf

Preprints

  • “Generative Adversarial Source Separation”, 2017, Y.C. Subakan; P.Smaragdis (submitted to ICASSP 2018) arxiv_link

  • “A Dictionary Learning Approach for Factorial Gaussian Models”, 2015, Y. C. Subakan; J. Traa; P. Smaragdis; N. Stein arxiv_link, supplemental_mat

  • “Spectral Learning of Hidden Markov Models with Group Persistence”, 2015, Y. C. Subakan; J. Traa; P. Smaragdis pdf, supplemental_mat

  • “Efficient Learning for Time Series Models by Non-Negative Matrix Factorization”, 2014, Y. C. Subakan; J. Traa; P. Smaragdis pdf, supplemental_mat