Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks. - Narendhar Gugulothu; Vishnu TV; Pankaj Malhotra; Lovekesh Vig; Puneet Agarwal; Gautam Shroff (CoRR, 2017)

Online anomaly detection with concept drift adaptation using recurrent neural networks. - Sakti Saurav; Pankaj Malhotra; Vishnu TV; Narendhar Gugulothu; Lovekesh Vig; Puneet Agarwal; Gautam Shroff (COMAD/CODS, 2018)

Load Forecasting in Energy Markets: An Approach Using Sparse Neural Networks. - Narendhar Gugulothu; Easwar Subramanian (e-Energy, 2019)

Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates. - Narendhar Gugulothu; Easwar Subramanian; Sanjay P. Bhat (ICANN (2), 2019)

A Data-Driven Approach for Ancillary Bundle Recommendation to Segmented Users. - Aakash Swami; Narendhar Gugulothu; Tirumala V; Sanjay Bhat (ICDM (Workshops), 2024)

Mixture Density Networks for Classification with an Application to Product Bundling. - Narendhar Gugulothu; Sanjay P. Bhat; Tejas Bodas (CoRR, 2024)