Identifying Quick Starters: Towards an Integrated Framework for Efficient Predictions of Queue Waiting Times of Batch Parallel Jobs. - Rajath Kumar; Sathish Vadhiyar (JSSPP, 2012)

Prediction of Queue Waiting Times for Metascheduling on Parallel Batch Systems. - Rajath Kumar; Sathish Vadhiyar (JSSPP, 2014)

Deep learning methods for unsupervised acoustic modeling - Leap submission to ZeroSpeech challenge 2017. - T. K. Ansari; Rajath Kumar; Sonali Singh; Sriram Ganapathy (ASRU, 2017)

Unsupervised HMM posteriograms for language independent acoustic modeling in zero resource conditions. - T. K. Ansari; Rajath Kumar; Sonali Singh; Sriram Ganapathy; V. Susheela Devi (ASRU, 2017)

Music Source Activity Detection and Separation Using Deep Attractor Network. - Rajath Kumar; Yi Luo 004; Nima Mesgarani (INTERSPEECH, 2018)

On Convolutional LSTM Modeling for Joint Wake-Word Detection and Text Dependent Speaker Verification. - Rajath Kumar; Vaishnavi Yeruva; Sriram Ganapathy (INTERSPEECH, 2018)

Multi-task Learning for Continuous Control. - Himani Arora; Rajath Kumar; Jason Krone; Chong Li (CoRR, 2018)

Building a Robust Word-Level Wakeword Verification Network. - Rajath Kumar; Mike Rodehorst; Joe Wang; Jiacheng Gu; Brian Kulis (INTERSPEECH, 2020)

An Audio-Based Wakeword-Independent Verification System. - Joe Wang; Rajath Kumar; Mike Rodehorst; Brian Kulis; Shiv Naga Prasad Vitaladevuni (INTERSPEECH, 2020)

Tiny-CRNN: Streaming Wakeword Detection in a Low Footprint Setting. - Mohammad Omar Khursheed; Christin Jose; Rajath Kumar; Gengshen Fu; Brian Kulis; Santosh Kumar Cheekatmalla (ASRU, 2021)