Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

 CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Puneet Agarwal
MEETING BOT: Reinforcement Learning for Dialogue Based Meeting Scheduling

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


  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
Generation of Near-Optimal Solutions Using ILP-Guided Sampling

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

* 7 pages 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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) 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
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 
  Access Paper or Ask Questions
Multi-Sensor Event Detection using Shape Histograms

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


  Access Paper or Ask Questions