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CAMTA: Casual Attention Model for Multi-touch Attribution


Dec 21, 2020
Sachin Kumar, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff


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Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation


Dec 16, 2020
Diksha Garg, Priyanka Gupta, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

* Presented at Offline Reinforcement Learning Workshop at Neural Information Processing Systems, 2020 

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Hi-CI: Deep Causal Inference in High Dimensions


Aug 22, 2020
Ankit Sharma, Garima Gupta, Ranjitha Prasad, Arnab Chatterjee, Lovekesh Vig, Gautam Shroff

* 23 pages, 5 figures, Accepted in Causal Discovery Workshop - KDD 2020 

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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 [email protected]'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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Privacy Guidelines for Contact Tracing Applications


Apr 28, 2020
Manish Shukla, Rajan M A, Sachin Lodha, Gautam Shroff, Ramesh Raskar

* 10 pages, 0 images 

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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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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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Fast Online "Next Best Offers" using Deep Learning


May 31, 2019
Rekha Singhal, Gautam Shroff, Mukund Kumar, Sharod Roy, Sanket Kadarkar, Rupinder virk, Siddharth Verma, Vartika Tiwari

* 7 Pages, Accepted in COMAD-CODS 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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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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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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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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Crop Planning using Stochastic Visual Optimization


Oct 25, 2017
Gunjan Sehgal, Bindu Gupta, Kaushal Paneri, Karamjit Singh, Geetika Sharma, Gautam Shroff

* 5 pages 

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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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Comparative Benchmarking of Causal Discovery Techniques


Sep 12, 2017
Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff

* arXiv admin note: text overlap with arXiv:1506.07669, arXiv:1611.03977 by other authors 

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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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