Publications:

              • Learning Algorithms for Dynamic Pricing: A Comparative Study; Chaitanya Amballa, Narendhar Gugulothu, Manu K. Gupta and Sanjay P. Bhat, RealML Workshop, ICML-July, 2020

              • Sparse Recurrent Mixture Density Networks for Forecasting High Variability Time Series with Confidence Estimates; Narendhar Gugulothu, Easwar Subramanian, Sanjay P. Bhat; 28th International Conference on Artificial Neural Networks, Munich, Germany - September, 2019

              • Load Forecasting in Energy Markets: An Approach Using Sparse Neural Networks; Narendhar Gugulothu, Easwar Subramanian; 10th ACM International Conference on Future Energy Systems (e-Energy ’19), Phoenix, AZ, USA - June, 2019

              • On Practical Aspects of Using RNNs for Fault Detection in Sparsely-Labeled Multi-sensor Time Series; Narendhar Gugulothu, Vishnu TV, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff; Annual Conference of the PHM Society, Philadelphia, USA - September, 2018.

              • Sparse Neural Networks for Anomaly Detection in High-Dimensional Time Series; Narendhar Gugulothu, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff; AI4IOT Workshop, ICML, Stockholm, Sweden - July, 2018.

              • 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; International Journal of Prognostics and Health Management, Issue-1, Volume-9, February, 2018.

              • 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; IKDD, CoDS-COMAD, Goa, India - January, 2018.

              • Bayesian Networks for Interpretable Health Monitoring of Complex Systems; Vishnu TV, Narendhar Gugulothu, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff; AI4IOT Workshop, IJCAI, Melbourne, Australia - August, 2017.

              • 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; MLforPHM Workshop, KDD, Halifax, Canada - August, 2017.