no code implementations • 26 May 2023 • Michael Levit, Sarangarajan Parthasarathy, Cem Aksoylar, Mohammad Sadegh Rasooli, Shuangyu Chang
We propose an adaptation method for factorized neural transducers (FNT) with external language models.
no code implementations • 10 Dec 2019 • Takuya Yoshioka, Igor Abramovski, Cem Aksoylar, Zhuo Chen, Moshe David, Dimitrios Dimitriadis, Yifan Gong, Ilya Gurvich, Xuedong Huang, Yan Huang, Aviv Hurvitz, Li Jiang, Sharon Koubi, Eyal Krupka, Ido Leichter, Changliang Liu, Partha Parthasarathy, Alon Vinnikov, Lingfeng Wu, Xiong Xiao, Wayne Xiong, Huaming Wang, Zhenghao Wang, Jun Zhang, Yong Zhao, Tianyan Zhou
This increases marginally to 1. 6% when 50% of the attendees are unknown to the system.
no code implementations • ICML 2017 • Cem Aksoylar, Lorenzo Orecchia, Venkatesh Saligrama
We propose a novel, computationally efficient mirror-descent based optimization framework for subgraph detection in graph-structured data.
no code implementations • 26 Aug 2016 • Cem Aksoylar, Jing Qian, Venkatesh Saligrama
Spectral clustering methods which are frequently used in clustering and community detection applications are sensitive to the specific graph constructions particularly when imbalanced clusters are present.
no code implementations • 12 Mar 2014 • Cem Aksoylar, Venkatesh Saligrama
We formulate sparse support recovery as a salient set identification problem and use information-theoretic analyses to characterize the recovery performance and sample complexity.
no code implementations • 24 Feb 2014 • Cem Aksoylar, Venkatesh Saligrama
We show that adaptivity cannot decrease sample complexity in group testing, 1-bit CS and CS with linear sparsity.
no code implementations • 2 Apr 2013 • Cem Aksoylar, George Atia, Venkatesh Saligrama
These mutual information expressions unify conditions for both linear and nonlinear observations.