activity
20132023
most citedSparse Signal Processing with Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach

42 citations · 77 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2023★ 1 cited

External Language Model Integration for Factorized Neural Transducers

Michael Levit, Sarangarajan Parthasarathy, Cem Aksoylar +2

We propose an adaptation method for factorized neural transducers (FNT) with external language models. We demonstrate that both neural and n-gram external LMs add significantly mor…

eess.AS2019★ 17 cited

Advances in Online Audio-Visual Meeting Transcription

Takuya Yoshioka, Igor Abramovski, Cem Aksoylar +23

This paper describes a system that generates speaker-annotated transcripts of meetings by using a microphone array and a 360-degree camera. The hallmark of the system is its abilit…

stat.ML2016★ 12 cited

Clustering and Community Detection with Imbalanced Clusters

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 imbalan…

cs.IT2014★ 5 cited

Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data

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.…

cs.IT2014

Information-Theoretic Bounds for Adaptive Sparse Recovery

Cem Aksoylar, Venkatesh Saligrama

We derive an information-theoretic lower bound for sample complexity in sparse recovery problems where inputs can be chosen sequentially and adaptively. This lower bound is in term…

cs.IT2013★ 42 cited

Sparse Signal Processing with Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach

Cem Aksoylar, George Atia, Venkatesh Saligrama

We derive fundamental sample complexity bounds for recovering sparse and structured signals for linear and nonlinear observation models including sparse regression, group testing,…