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Ashwin Srinivasan

How to Tell Deep Neural Networks What We Know


Jul 21, 2021
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan

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* 12 pages (full version); substantial overlap with arXiv:2103.00180 
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Inclusion of Domain-Knowledge into GNNs using Mode-Directed Inverse Entailment


May 22, 2021
Tirtharaj Dash, Ashwin Srinivasan, A Baskar

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* submitted to Machine Learning Journal (MLJ) 
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Incorporating Domain Knowledge into Deep Neural Networks


Mar 15, 2021
Tirtharaj Dash, Sharad Chitlangia, Aditya Ahuja, Ashwin Srinivasan

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* Submitted to IJCAI-2021 Survey Track (6+2 pages) 
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Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays


Dec 19, 2020
Rishab Khincha, Soundarya Krishnan, Krishnan Guru-Murthy, Tirtharaj Dash, Lovekesh Vig, Ashwin Srinivasan

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Incorporating Symbolic Domain Knowledge into Graph Neural Networks


Oct 23, 2020
Tirtharaj Dash, Ashwin Srinivasan, Lovekesh Vig

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* Under review in Machine Learning Journal (Revision 2) 
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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

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* 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

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* 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

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* 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

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* 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

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* 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

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