Ashwin Srinivasan
Dr.Quad at MEDIQA 2019: Towards Textual Inference and Question Entailment using contextualized representations

Jul 23, 2019
Vinayshekhar Bannihatti Kumar, Ashwin Srinivasan, Aditi Chaudhary, James Route, Teruko Mitamura, Eric Nyberg

* Accepted in ACL challenge MediQA as part of the BioNLP workshop 
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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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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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Logical Explanations for Deep Relational Machines Using Relevance Information

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


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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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Consensus-Based Modelling using Distributed Feature Construction

Sep 11, 2014
Haimonti Dutta, Ashwin Srinivasan


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Qualitative System Identification from Imperfect Data

Oct 31, 2011
George M. Coghill, Ross D. King, Ashwin Srinivasan

* Journal Of Artificial Intelligence Research, Volume 32, pages 825-877, 2008 
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