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Handling Variable-Dimensional Time Series with Graph Neural Networks

Jul 07, 2020
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

* Accepted at AI4IoT@IJCAI'20 workshop 

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Graph Neural Networks for Leveraging Industrial Equipment Structure: An application to Remaining Useful Life Estimation

Jun 30, 2020
Jyoti Narwariya, Pankaj Malhotra, Vishnu TV, Lovekesh Vig, Gautam Shroff

* Accepted at AAAI workshop DLGMA'20 

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MultiMBNN: Matched and Balanced Causal Inference with Neural Networks

Apr 29, 2020
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

* 6 journal pages; to be published in ESANN 2020 

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TableNet: Deep Learning model for end-to-end Table detection and Tabular data extraction from Scanned Document Images

Jan 06, 2020
Shubham Paliwal, Vishwanath D, Rohit Rahul, Monika Sharma, Lovekesh Vig


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MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population

Dec 09, 2019
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

* 10 pages, NeurIPS 2019 CausalML workshop 

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ChartNet: Visual Reasoning over Statistical Charts using MAC-Networks

Nov 21, 2019
Monika Sharma, Shikha Gupta, Arindam Chowdhury, Lovekesh Vig

* International Joint Conference on Neural Networks (IJCNN) 2019 

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Character Keypoint-based Homography Estimation in Scanned Documents for Efficient Information Extraction

Nov 14, 2019
Kushagra Mahajan, Monika Sharma, Lovekesh Vig

* 6 pages, 4 figures 

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Meta-Learning for Few-Shot Time Series Classification

Sep 25, 2019
Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff, Vishnu Tv


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NISER: Normalized Item and Session Representations with Graph Neural Networks

Sep 13, 2019
Priyanka Gupta, Diksha Garg, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff


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Meta-Learning for Black-box Optimization

Jul 16, 2019
Vishnu TV, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff


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One-shot Information Extraction from Document Images using Neuro-Deductive Program Synthesis

Jun 06, 2019
Vishal Sunder, Ashwin Srinivasan, Lovekesh Vig, Gautam Shroff, Rohit Rahul

* 11 pages, appears in the 13th International Workshop on Neural-Symbolic Learning and Reasoning at IJCAI 2019 

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ConvTimeNet: A Pre-trained Deep Convolutional Neural Network for Time Series Classification

May 02, 2019
Kathan Kashiparekh, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

* Accepted at IJCNN 2019 

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Data-driven Prognostics with Predictive Uncertainty Estimation using Ensemble of Deep Ordinal Regression Models

Apr 02, 2019
Vishnu TV, Diksha, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

* Under review at the International Journal of Prognostics and Health Management (IJPHM) 2019 

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Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks

Apr 01, 2019
Priyanka Gupta, Pankaj Malhotra, Jyoti Narwariya, Lovekesh Vig, Gautam Shroff


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Learning to Clean: A GAN Perspective

Jan 28, 2019
Monika Sharma, Abhishek Verma, Lovekesh Vig

* IWRR 2018 Workshop at ACCV 2018 

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Automatic Information Extraction from Piping and Instrumentation Diagrams

Jan 28, 2019
Rohit Rahul, Shubham Paliwal, Monika Sharma, Lovekesh Vig

* IEEE ICPRAM 2019 

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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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Deep Reader: Information extraction from Document images via relation extraction and Natural Language

Dec 14, 2018
Vishwanath D, Rohit Rahul, Gunjan Sehgal, Swati, Arindam Chowdhury, Monika Sharma, Lovekesh Vig, Gautam Shroff, Ashwin Srinivasan

* Published in 3rd International Workshop on Robust Reading at Asian Conference of Computer Vision 2018 

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Reading Industrial Inspection Sheets by Inferring Visual Relations

Dec 11, 2018
Rohit Rahul, Arindam Chowdhury, Animesh, Samarth Mittal, Lovekesh Vig

* Published in 3rd International Workshop on Robust Reading at Asian Conference on Computer Vision 2018 

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Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning

Sep 19, 2018
Vishal Sunder, Lovekesh Vig, Arnab Chatterjee, Gautam Shroff

* Proceedings of the 11th International Workshop on Automated Negotiations (held in conjunction with IJCAI 2018) 

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An Efficient End-to-End Neural Model for Handwritten Text Recognition

Jul 26, 2018
Arindam Chowdhury, Lovekesh Vig

* Accepted at British Machine Vision Conference 2018 

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Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks

Jul 04, 2018
Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

* Accepted at Machine Learning for Medicine and Healthcare Workshop at ACM KDD 2018 Conference 

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Logical Explanations for Deep Relational Machines Using Relevance Information

Jul 02, 2018
Ashwin Srinivasan, Lovekesh Vig, Michael Bain


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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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