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Knowledge-based Analogical Reasoning in Neuro-symbolic Latent Spaces


Sep 19, 2022
Vishwa Shah, Aditya Sharma, Gautam Shroff, Lovekesh Vig, Tirtharaj Dash, Ashwin Srinivasan

* 13 pages, 4 figures, Accepted at 16th International Workshop on Neural-Symbolic Learning and Reasoning as part of the 2nd International Joint Conference on Learning & Reasoning (IJCLR 2022) 

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On NeuroSymbolic Solutions for PDEs


Jul 11, 2022
Ritam Majumdar, Vishal Jadhav, Anirudh Deodhar, Shirish Karande, Lovekesh Vig

* 24 pages, 9 figures, 14 tables 

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An Efficient Anchor-free Universal Lesion Detection in CT-scans


Mar 30, 2022
Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig

* IEEE International Symposium on Biomedical Imaging (ISBI) 2022 
* 4 Pages, 2 figures, 2 tables. Paper accepted at IEEE International Symposium on Biomedical Imaging (ISBI'22) 

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DKMA-ULD: Domain Knowledge augmented Multi-head Attention based Robust Universal Lesion Detection


Mar 14, 2022
Manu Sheoran, Meghal Dani, Monika Sharma, Lovekesh Vig

* British Machine Vision Conference (BMVC) 2021 
* Main Paper: 13 Pages, 5 Figures, 2 Tables. Supplementary: 4 Pages, 1 Figure, 3 Tables. Paper accepted at The 32nd British Machine Vision Conference (BMVC'21) 

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TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words


Mar 14, 2022
Arushi Jain, Shubham Paliwal, Monika Sharma, Lovekesh Vig

* In ESANN 2021 proceedings, pages 257-262 
* 6 pages, 1 figure, 1 table, ESANN 2021 proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. Online event, 6-8 October 2021, i6doc.com publ., ISBN 978287587082-7 

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Continual Learning for Multivariate Time Series Tasks with Variable Input Dimensions


Mar 14, 2022
Vibhor Gupta, Jyoti Narwariya, Pankaj Malhotra, Lovekesh Vig, Gautam Shroff

* Accepted at ICDM 2021 

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Learning to Liquidate Forex: Optimal Stopping via Adaptive Top-K Regression


Feb 25, 2022
Diksha Garg, Pankaj Malhotra, Anil Bhatia, Sanjay Bhat, Lovekesh Vig, Gautam Shroff

* Published at Workshop on AI in Financial Services: Adaptiveness, Resilience & Governance, AAAI-22 

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Electricity Consumption Forecasting for Out-of-distribution Time-of-Use Tariffs


Feb 11, 2022
Jyoti Narwariya, Chetan Verma, Pankaj Malhotra, Lovekesh Vig, Easwara Subramanian, Sanjay Bhat

* Accepted paper at AAAI workshop AIBSD 2022 

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DRTCI: Learning Disentangled Representations for Temporal Causal Inference


Jan 20, 2022
Garima Gupta, Lovekesh Vig, Gautam Shroff

* Accepted in Workshop on "The Neglected Assumptions in Causal Inference" at ICML 2021 (July) 

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Solving Visual Analogies Using Neural Algorithmic Reasoning


Nov 19, 2021
Atharv Sonwane, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan, Tirtharaj Dash

* 20 pages. Contains extended abstract accepted at the AAAI-22 Student Abstract and Poster Program along with relevent supplementary material 

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