Publications (15)
Neural Networks for Relational Data
Navdeep Kaur, Gautam Kunapuli, Saket Joshi +2
While deep networks have been enormously successful over the last decade, they rely on flat-feature vector representations, which makes them unsuitable for richly structured domain…
An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning
Navdeep Kaur, Lachlan McPheat, Alessandra Russo +2
In this paper, we examine the use of Conformal Language Modelling (CLM) alongside Answer Set Programming (ASP) to enhance the performance of standard open-weight LLMs on complex mu…
Knowledge Graph Alignment using String Edit Distance
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
In this work, we propose a novel knowledge graph alignment technique based upon string edit distance that exploits the type information between entities and can find similarity bet…
NeuSTIP: A Novel Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs
Ishaan Singh, Navdeep Kaur, Garima Gaur +1
While Knowledge Graph Completion (KGC) on static facts is a matured field, Temporal Knowledge Graph Completion (TKGC), that incorporates validity time into static facts is still in…
Transverse momentum distributions of electron in simulated QED model
Navdeep Kaur, Harleen Dahiya
In the present work, we have studied the transverse momentum distributions (TMDs) for the electron in simulated QED model. We have used the overlap representation of light-front wa…
Generalized Parton Distributions of Pion for Non-Zero Skewness in AdS/QCD
Navdeep Kaur, Narinder Kumar, Chandan Mondal +1
We study the generalized parton distributions (GPDs) of pion for non-zero skewness by considering the leading Fock state component. Inspired from AdS/QCD ligh…
Biogeography based Satellite Image Classification
V. K. Panchal, Parminder Singh, Navdeep Kaur +1
Biogeography is the study of the geographical distribution of biological organisms. The mindset of the engineer is that we can learn from nature. Biogeography Based Optimization is…
DynaSemble: Dynamic Ensembling of Textual and Structure-Based Models for Knowledge Graph Completion
Ananjan Nandi, Navdeep Kaur, Parag Singla +1
We consider two popular approaches to Knowledge Graph Completion (KGC): textual models that rely on textual entity descriptions, and structure-based models that exploit the connect…
Delving into the Security Issues of Mobile Cloud Computing
Navdeep Kaur, Prabhsimran Singh
Looking at the last decade, progress in technology has made a huge impact on our lifestyles. Enhanced use of mobile phones has provided a technological breakthrough, with the lates…
Soft computing techniques for software effort estimation
Sumeet Kaur Sehra, Yadwinder Singh Brar, Navdeep Kaur
The effort invested in a software project is probably one of the most important and most analyzed variables in recent years in the process of project management. The limitation of…
DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning
Lachlan McPheat, Navdeep Kaur, Robert Blackwell +3
We introduce DecompSR, decomposed spatial reasoning, a large benchmark dataset (over 5m datapoints) and generation framework designed to analyse compositional spatial reasoning abi…
Simple Augmentations of Logical Rules for Neuro-Symbolic Knowledge Graph Completion
Ananjan Nandi, Navdeep Kaur, Parag Singla +1
High-quality and high-coverage rule sets are imperative to the success of Neuro-Symbolic Knowledge Graph Completion (NS-KGC) models, because they form the basis of all symbolic inf…
Quark Wigner Distributions and GTMDs of Pion in the Light-Front Holographic Model
Navdeep Kaur, Harleen Dahiya
We investigate the quark Wigner distributions of the pion to reveal the multidimensional picture of pion. We have used the spin improved wave functions of pion deduced from the lig…
Non-Parametric Learning of Lifted Restricted Boltzmann Machines
Navdeep Kaur, Gautam Kunapuli, Sriraam Natarajan
We consider the problem of discriminatively learning restricted Boltzmann machines in the presence of relational data. Unlike previous approaches that employ a rule learner (for st…
Transverse momentum dependent parton distributions of pion in the light-front holographic model
Navdeep Kaur, Harleen Dahiya
Using the light-front holographic model, we study the transverse momentum dependent parton distributions (TMDs) for the case of pion. At leading twist, the unpolarized parton distr…