Synergies Between Quantum Mechanics and Machine Learning in Reaction Prediction. - Peter J. Sadowski; David Fooshee; Niranjan Subrahmanya; Pierre Baldi (J. Chem. Inf. Model., 2016)

Inner and Outer Recursive Neural Networks for Chemoinformatics Applications. - Gregor Urban; Niranjan Subrahmanya; Pierre Baldi (J. Chem. Inf. Model., 2018)

Improving Keyword Spotting and Language Identification via Neural Architecture Search at Scale. - Hanna Mazzawi; Xavi Gonzalvo; Aleks Kracun; Prashant Sridhar; Niranjan Subrahmanya; Ignacio López-Moreno; Hyun-Jin Park; Patrick Violette (INTERSPEECH, 2019)

Learning to Detect Keyword Parts and Whole by Smoothed Max Pooling. - Hyun-Jin Park; Patrick Violette; Niranjan Subrahmanya (ICASSP, 2020)

Training Keyword Spotting Models on Non-IID Data with Federated Learning. - Andrew Hard; Kurt Partridge; Cameron Nguyen; Niranjan Subrahmanya; Aishanee Shah; Pai Zhu; Ignacio López-Moreno; Rajiv Mathews (INTERSPEECH, 2020)

Streaming Keyword Spotting on Mobile Devices. - Oleg Rybakov; Natasha Kononenko; Niranjan Subrahmanya; Mirkó Visontai; Stella Laurenzo (INTERSPEECH, 2020)

Small Footprint Multi-channel Keyword Spotting. - Jilong Wu; Yiteng Huang; Hyun-Jin Park; Niranjan Subrahmanya; Patrick Violette (Odyssey, 2020)

Noisy Student-Teacher Training for Robust Keyword Spotting. - Hyun-Jin Park; Pai Zhu; Ignacio López-Moreno; Niranjan Subrahmanya (Interspeech, 2021)