Oct. 13, 2016

                                                      Kang-Hun Ahn (Chair)
9:40 - 9:45    Opening   
9:45 - 10:30  Machine learning for Speech Enhancement, Feature Extraction and Recognition (Soo-Young Lee)
10:30 - 11:00 Discussion & Break
11:00 - 11:45 Large-scale Inference and learning of Statiscal Models for Acoustic and Visual Data - Linear, Masked and Occluded Data  (Jörg Lücke) 
11:45 - 12:00 Discussion
12:00 - 2:00    Lunch 

                                                      Steven van der Par (Chair)
2:00 - 2:45     Network topology and machine learning (Junghyo Jo)  
2:45 - 3:15     Discussion & Break
3:15 - 4:00     Nonlinear Feature Selection for large and ultra High-dimensional Data (Makoto Yamada) 
4:00 - 4:30     Discussion & Break
4:30 - 5:15    Towards abstractive summarization: Multiple time scale gated recurrent unit for summarization  (Minho Lee)
5:15 - 5:30    Discussion
6:00 -             Dinner




Oct. 14, 2016

                                                           Jörg Lücke (Chair)
9:45 - 10:30     Human inspired machine listening: speaker localization, detection, and identification (Steven van der Par)
10:30 - 11: 00 Discussion & Break
11:00 - 11:45 Computational Auditory Scene Analysis for Hearing Devices: Machine Learning for Better Audition (Joachim Thiemann)
11:45 - 12:00 Discussion
12:00 - 2:00    Lunch

                                                             Soo-Young Lee (Chair)
2:00 - 2:45      Noise-induced hearing enhancement of rare syllables: Clinical and machine learning study (Kang-Hun Ahn)
2:45 - 3:15      Discussion & Break
3:15 - 4:00      Auditory Brainstem Responses to sound  (Kyung Myun Lee)
4:00 - 4:30      Discussion & Break
4:30 - 5:15     Generative Local Metric Learning for Nadaraya-Watson Kernel Estimation (Young Kyun Noh)
5:15 - 5:30      Discussion
6:00 -               Banquet