Search Results for author:
Found 7 papers, 0 papers with code
External Language Model Integration for Factorized Neural Transducers
We propose an adaptation method for factorized neural transducers (FNT) with external language models.
Advances in Online Audio-Visual Meeting Transcription
This increases marginally to 1. 6% when 50% of the attendees are unknown to the system.
Connected Subgraph Detection with Mirror Descent on SDPs
We propose a novel, computationally efficient mirror-descent based optimization framework for subgraph detection in graph-structured data.
Clustering and Community Detection with Imbalanced Clusters
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.
Sparse Recovery with Linear and Nonlinear Observations: Dependent and Noisy Data
We formulate sparse support recovery as a salient set identification problem and use information-theoretic analyses to characterize the recovery performance and sample complexity.
Information-Theoretic Bounds for Adaptive Sparse Recovery
We show that adaptivity cannot decrease sample complexity in group testing, 1-bit CS and CS with linear sparsity.
Sparse Signal Processing with Linear and Nonlinear Observations: A Unified Shannon-Theoretic Approach
These mutual information expressions unify conditions for both linear and nonlinear observations.
