1 citations · 2 across the 4 of their papers we have counts for
4 papers
Deep Reader: Information extraction from Document images via relation extraction and Natural Language
Vishwanath D, Rohit Rahul, Gunjan Sehgal +6
Recent advancements in the area of Computer Vision with state-of-art Neural Networks has given a boost to Optical Character Recognition (OCR) accuracies. However, extracting charac…
Neuro-symbolic EDA-based Optimisation using ILP-enhanced DBNs
Sarmimala Saikia, Lovekesh Vig, Ashwin Srinivasan +3
We investigate solving discrete optimisation problems using the estimation of distribution (EDA) approach via a novel combination of deep belief networks(DBN) and inductive logic p…
Generation of Near-Optimal Solutions Using ILP-Guided Sampling
Ashwin Srinivasan, Gautam Shroff, Lovekesh Vig +2
Our interest in this paper is in optimisation problems that are intractable to solve by direct numerical optimisation, but nevertheless have significant amounts of relevant domain-…
Consensus-Based Modelling using Distributed Feature Construction
Haimonti Dutta, Ashwin Srinivasan
A particularly successful role for Inductive Logic Programming (ILP) is as a tool for discovering useful relational features for subsequent use in a predictive model. Conceptually,…