Vinod Kumar Chauhan

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 37

Top Topics

Handwriting Recognition

Machine Learning

Diffusion Models

Top Venues

Artif. Intell. Rev.

Publications

Vinod Kumar Chauhan, Mark Bass, Ajith Kumar Parlikad, Alexandra Brintrup
Trolley Optimisation for Loading Printed Circuit Board Components. Oper. Res. Forum 5 (3) (2024)
Soheila Molaei, Ghazaleh Niknam, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Hadi Zare, Tingting Zhu, Shirui Pan, David A. Clifton
Temporal dynamics unleashed: Elevating variational graph attention. Knowl. Based Syst. 299 (2024)
Soheila Molaei, Nima Ghanbari Bousejin, Ghadeer O. Ghosheh, Anshul Thakur, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
CliqueFluxNet: Unveiling EHR Insights with Stochastic Edge Fluxing and Maximal Clique Utilisation Using Graph Neural Networks. J. Heal. Informatics Res. 8 (3) (2024)
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, Omid Rohanian, Soheila Molaei, David A. Clifton
Continuous patient state attention model for addressing irregularity in electronic health records. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan
GTAGCN: Generalized Topology Adaptive Graph Convolutional Networks. CoRR (2024)
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
A brief review of hypernetworks in deep learning. Artif. Intell. Rev. 57 (9) (2024)
Vinod Kumar Chauhan, Jiandong Zhou, Ghadeer O. Ghosheh, Soheila Molaei, David A. Clifton
Dynamic Inter-treatment Information Sharing for Individualized Treatment Effects Estimation. AISTATS (2024)
Vinod Kumar Chauhan, Lei A. Clifton, Achille Salaün, Huiqi Yvonne Lu, Kim Branson, Patrick Schwab, Gaurav Nigam, David A. Clifton
Sample Selection Bias in Machine Learning for Healthcare. CoRR (2024)
Sukhdeep Singh, Anuj Sharma, Vinod Kumar Chauhan
Indic script family and its offline handwriting recognition for characters/digits and words: a comprehensive survey. Artif. Intell. Rev. 56 (Supplement 3) (2023)
Taha Ceritli, Ghadeer O. Ghosheh, Vinod Kumar Chauhan, Tingting Zhu, Andrew P. Creagh, David A. Clifton
Synthesizing Mixed-type Electronic Health Records using Diffusion Models. CoRR (2023)
Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
Adversarial De-confounding in Individualised Treatment Effects Estimation. AISTATS (2023)
Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. Comput. Ind. Eng. 176 (2023)
Vinod Kumar Chauhan, Jiandong Zhou, Soheila Molaei, Ghadeer O. Ghosheh, David A. Clifton
Dynamic Inter-treatment Information Sharing for Heterogeneous Treatment Effects Estimation. CoRR (2023)
Vinod Kumar Chauhan, Jiandong Zhou, Ping Lu, Soheila Molaei, David A. Clifton
A Brief Review of Hypernetworks in Deep Learning. CoRR (2023)
Atieh Khodadadi, Nima Ghanbari Bousejin, Soheila Molaei, Vinod Kumar Chauhan, Tingting Zhu, David A. Clifton
Improving Diagnostics with Deep Forest Applied to Electronic Health Records. Sensors 23 (14) (2023)
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
COPER: Continuous Patient State Perceiver. BHI (2022)
Vinod Kumar Chauhan, Mark Bass, Ajith Kumar Parlikad, Alexandra Brintrup
Trolley optimisation: An extension of bin packing to load PCB components. CoRR (2022)
Vinod Kumar Chauhan, Soheila Molaei, Marzia Hoque Tania, Anshul Thakur, Tingting Zhu, David A. Clifton
Adversarial De-confounding in Individualised Treatment Effects Estimation. CoRR (2022)
Vinod Kumar Chauhan, Muhannad Alomari, James Arney, Ajith Kumar Parlikad, Alexandra Brintrup
Exploitation of material consolidation trade-offs in a multi-tier complex supply networks. CoRR (2022)
Vinod Kumar Chauhan, Stephen Mak, Ajith Kumar Parlikad, Muhannad Alomari, Linus Casassa, Alexandra Brintrup
Real-time large-scale supplier order assignments across two-tiers of a supply chain with penalty and dual-sourcing. CoRR (2022)
Vinod Kumar Chauhan, Anna Ledwoch, Alexandra Brintrup, Manuel Herrera, Vaggelis Giannikas, Goran Stojkovic, Duncan C. McFarlane
A network science approach to identify disruptive elements of an airline. CoRR (2022)
Vinod Kumar Chauhan, Anshul Thakur, Odhran O'Donoghue, David A. Clifton
COPER: Continuous Patient State Perceiver. CoRR (2022)
Vinod Kumar Chauhan, Sukhdeep Singh, Anuj Sharma
HCR-Net: A deep learning based script independent handwritten character recognition network. CoRR (2021)
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
LIBS2ML: A library for scalable second order machine learning algorithms. Softw. Impacts 10 (2021)
Vinod Kumar Chauhan, Supun Perera, Alexandra Brintrup
The relationship between nested patterns and the ripple effect in complex supply networks. Int. J. Prod. Res. 59 (1) (2021)
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
Stochastic trust region inexact Newton method for large-scale machine learning. Int. J. Mach. Learn. Cybern. 11 (7) (2020)
Sukhdeep Singh, Vinod Kumar Chauhan, Elisa H. Barney Smith
A self controlled RDP approach for feature extraction in online handwriting recognition using deep learning. Appl. Intell. 50 (7) (2020)
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms. CoRR (2019)
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
SAAGs: Biased stochastic variance reduction methods for large-scale learning. Appl. Intell. 49 (9) (2019)
Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma
Problem formulations and solvers in linear SVM: a review. Artif. Intell. Rev. 52 (2) (2019)
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
SAAGs: Biased Stochastic Variance Reduction Methods. CoRR (2018)
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
Stochastic Trust Region Inexact Newton Method for Large-scale Machine Learning. CoRR (2018)
Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma
Faster Algorithms for Large-scale Machine Learning using Simple Sampling Techniques. CoRR (2018)
Vinod Kumar Chauhan, Anuj Sharma, Kalpana Dahiya
Faster learning by reduction of data access time. Appl. Intell. 48 (12) (2018)
Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma
Trust Region Levenberg-Marquardt Method for Linear SVM. ICAPR (2017)
Vinod Kumar Chauhan, Kalpana Dahiya, Anuj Sharma
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems. ACML (2017)
Kalpana Dahiya, Vinod Kumar Chauhan, Anuj Sharma
Online Support Vector Machine Based on Minimum Euclidean Distance. CVIP (1) (2016)