Navjot Singh

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2024
Decentralized multi-task stochastic optimization with compressed communications.
Autom., January, 2024

2023
Alternating Mahalanobis Distance Minimization for Accurate and Well-Conditioned CP Decomposition.
SIAM J. Sci. Comput., December, 2023

SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Optimization.
IEEE Trans. Autom. Control., February, 2023

Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules.
Knowl. Based Syst., 2023

Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules.
CoRR, 2023

Representation Transfer Learning via Multiple Pre-trained models for Linear Regression.
Proceedings of the IEEE International Symposium on Information Theory, 2023

2022
Distributed-memory tensor completion for generalized loss functions in python using new sparse tensor kernels.
J. Parallel Distributed Comput., 2022

Semantic sensor network ontology based decision support system for forest fire management.
Ecol. Informatics, 2022

Alternating Mahalanobis Distance Minimization for Stable and Accurate CP Decomposition.
CoRR, 2022

ATD: Augmenting CP Tensor Decomposition by Self Supervision.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition.
SIAM J. Sci. Comput., 2021

SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization.
IEEE J. Sel. Areas Inf. Theory, 2021

Augmented Tensor Decomposition with Stochastic Optimization.
CoRR, 2021

QuPeL: Quantized Personalization with Applications to Federated Learning.
CoRR, 2021

QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MTC: Multiresolution Tensor Completion from Partial and Coarse Observations.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
DeepFake Video Detection: A Time-Distributed Approach.
SN Comput. Sci., 2020

RecipeDB: a resource for exploring recipes.
Database J. Biol. Databases Curation, 2020

Enhanced Security Architecture for Visual Cryptography Based on Image Secret Sharing.
Proceedings of the 11th IEEE Annual Ubiquitous Computing, 2020

2019
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization.
CoRR, 2019

Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition.
CoRR, 2019

Computational Models for the Evolution of World Cuisines.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

A Framework for Strategic Cloud Migration.
Proceedings of the 2019 5th International Conference on Computing and Artificial Intelligence, 2019

2018
FlavorDB: a database of flavor molecules.
Nucleic Acids Res., 2018

Data-Driven Investigations of Culinary Patterns in Traditional Recipes Across the World.
Proceedings of the 34th IEEE International Conference on Data Engineering Workshops, 2018

2017
Big Data Analytics for Electric Vehicle Integration in Green Smart Cities.
IEEE Commun. Mag., 2017

Anti-Ad Blocking Strategy: Measuring its True Impact.
Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

2016
Staying Hidden: An Analysis of Hiding Strategies in a 2D Level with Occlusions.
Proceedings of the Twelfth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2016


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