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MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling

Dec 28, 2018
Vishwanath D, Lovekesh Vig, Gautam Shroff, Puneet Agarwal


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Predicting Remaining Useful Life using Time Series Embeddings based on Recurrent Neural Networks

Oct 06, 2017
Narendhar Gugulothu, Vishnu TV, Pankaj Malhotra, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

* Presented at 2nd ML for PHM Workshop at SIGKDD 2017, Halifax, Canada 

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TimeNet: Pre-trained deep recurrent neural network for time series classification

Jun 23, 2017
Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

* 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2017, Bruges, Belgium 

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Deep Convolutional Neural Networks for Pairwise Causality

Jan 03, 2017
Karamjit Singh, Garima Gupta, Lovekesh Vig, Gautam Shroff, Puneet Agarwal

* Published at NIPS 2016 Workshop "What If" and Won the best Poster Award 

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Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs

Dec 20, 2016
Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan, Gautam Shroff, Puneet Agarwal, Richa Rawat

* 9 pages, 7 figures, Cognitive Computation: Integrating Neural and Symbolic Approaches (Workshop at 30th Conference on Neural Information Processing Systems (NIPS 2016), Barcelona, Spain.), http://daselab.cs.wright.edu/nesy/CoCo2016/coco_nips_2016_pre-proceedings.pdf (page 78-86). arXiv admin note: substantial text overlap with arXiv:1608.01093 

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Generation of Near-Optimal Solutions Using ILP-Guided Sampling

Nov 11, 2016
Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig, Sarmimala Saikia, Puneet Agarwal

* 7 pages 

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Multi-Sensor Prognostics using an Unsupervised Health Index based on LSTM Encoder-Decoder

Aug 22, 2016
Pankaj Malhotra, Vishnu TV, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

* Presented at 1st ACM SIGKDD Workshop on Machine Learning for Prognostics and Health Management, San Francisco, CA, USA, 2016. 10 pages 

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LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection

Jul 11, 2016
Pankaj Malhotra, Anusha Ramakrishnan, Gaurangi Anand, Lovekesh Vig, Puneet Agarwal, Gautam Shroff

* Accepted at ICML 2016 Anomaly Detection Workshop, New York, NY, USA, 2016. Reference update in this version (v2) 

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Efficiently Discovering Frequent Motifs in Large-scale Sensor Data

Jan 02, 2015
Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan

* 13 pages, 8 figures, Technical Report 

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Warranty Cost Estimation Using Bayesian Network

Nov 11, 2014
Karamjit Singh, Puneet Agarwal, Gautam Shroff

* Selected for publication in Poster Proceedings of "Industrial Conference on Data Mining (ICDM 2014)" http://www.data-mining-forum.de/files/Program%202014%20DIN%20Lang.pdf 

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Multi-Sensor Event Detection using Shape Histograms

Aug 16, 2014
Ehtesham Hassan, Gautam Shroff, Puneet Agarwal


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