69 citations · 97 across the 4 of their papers we have counts for
5 papers
Compressive Recovery of Signals Defined on Perturbed Graphs
Sabyasachi Ghosh, Ajit Rajwade
Recovery of signals with elements defined on the nodes of a graph, from compressive measurements is an important problem, which can arise in various domains such as sensor networks…
Efficient Neural Network based Classification and Outlier Detection for Image Moderation using Compressed Sensing and Group Testing
Sabyasachi Ghosh, Sanyam Saxena, Ajit Rajwade
Popular social media platforms employ neural network based image moderation engines to classify images uploaded on them as having potentially objectionable content. Such moderation…
Learning from Rules Generalizing Labeled Exemplars
Abhijeet Awasthi, Sabyasachi Ghosh, Rasna Goyal +1
In many applications labeled data is not readily available, and needs to be collected via pain-staking human supervision. We propose a rule-exemplar method for collecting human sup…
A Compressed Sensing Approach to Pooled RT-PCR Testing for COVID-19 Detection
Sabyasachi Ghosh, Rishi Agarwal, Mohammad Ali Rehan +9
We propose `Tapestry', a novel approach to pooled testing with application to COVID-19 testing with quantitative Reverse Transcription Polymerase Chain Reaction (RT-PCR) that can r…
Parallel Iterative Edit Models for Local Sequence Transduction
Abhijeet Awasthi, Sunita Sarawagi, Rasna Goyal +2
We present a Parallel Iterative Edit (PIE) model for the problem of local sequence transduction arising in tasks like Grammatical error correction (GEC). Recent approaches are base…