dblp: Niraj Kumar
https://dblp.org/pid/137/9847.html
dblp person page RSS feedWed, 13 Nov 2024 23:52:31 +0100en-USdaily1released under the CC0 1.0 licensedblp@dagstuhl.de (dblp team)dblp@dagstuhl.de (dblp team)Computers/Computer_Science/Publications/Bibliographieshttp://www.rssboard.org/rss-specificationhttps://dblp.org/img/logo.144x51.pngdblp: Niraj Kumarhttps://dblp.org/pid/137/9847.html14451Invited: Challenges and Opportunities of Quantum Optimization in Finance.https://doi.org/10.1145/3649329.3664193Zichang He, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar, Changhao Li, Pierre Minssen, Pradeep Niroula, Ruslan Shaydulin, Yue Sun, Shree Hari Sureshbabu, Romina Yalovetzky, Marco Pistoia: Invited: Challenges and Opportunities of Quantum Optimization in Finance.DAC2024: 362:1-362:4]]>https://dblp.org/rec/conf/dac/HeCHKLMNSSSYP24Mon, 01 Jan 2024 00:00:00 +0100Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems.https://doi.org/10.23919/DATE58400.2024.10546551Niraj Kumar, Chuanchao Gao, Arvind Easwaran: Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems.DATE2024: 1-6]]>https://dblp.org/rec/conf/date/KumarGE24Mon, 01 Jan 2024 00:00:00 +0100AnomGraphAdv: Enhancing Anomaly and Network Intrusion Detection in Wireless Networks Using Adversarial Training and Temporal Graph Networks.https://doi.org/10.1145/3643833.3656130Supriya Bajpai, Pagadala Krishna Murthy, Niraj Kumar: AnomGraphAdv: Enhancing Anomaly and Network Intrusion Detection in Wireless Networks Using Adversarial Training and Temporal Graph Networks.WISEC2024: 113-122]]>https://dblp.org/rec/conf/wisec/BajpaiMK24Mon, 01 Jan 2024 00:00:00 +0100Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems.https://doi.org/10.48550/arXiv.2403.13411Niraj Kumar, Chuanchao Gao, Arvind Easwaran: Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems.CoRRabs/2403.13411 (2024)]]>https://dblp.org/rec/journals/corr/abs-2403-13411Mon, 01 Jan 2024 00:00:00 +0100Prospects of Privacy Advantage in Quantum Machine Learning.https://doi.org/10.48550/arXiv.2405.08801Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia: Prospects of Privacy Advantage in Quantum Machine Learning.CoRRabs/2405.08801 (2024)]]>https://dblp.org/rec/journals/corr/abs-2405-08801Mon, 01 Jan 2024 00:00:00 +0100QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest.https://doi.org/10.48550/arXiv.2406.12008Romina Yalovetzky, Niraj Kumar, Changhao Li, Marco Pistoia: QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest.CoRRabs/2406.12008 (2024)]]>https://dblp.org/rec/journals/corr/abs-2406-12008Mon, 01 Jan 2024 00:00:00 +0100Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection.https://doi.org/10.22331/q-2023-01-26-909Christa Zoufal, Ryan V. Mishmash, Nitin Sharma, Niraj Kumar, Aashish Sheshadri, Amol Deshmukh, Noelle Ibrahim, Julien Gacon, Stefan Woerner: Variational quantum algorithm for unconstrained black box binary optimization: Application to feature selection.Quantum7: 909 (2023)]]>https://dblp.org/rec/journals/quantum/ZoufalMSKSDIGW23Sun, 01 Jan 2023 00:00:00 +0100Identification of the impact of content-related factors on the diffusion of misinformation: A Case study of the government intervention polices during COVID-19 pandemic in the UK.https://aisel.aisnet.org/amcis2023/sig_dsa/sig_dsa/4Meichen Lu, Maged Ali, Niraj Kumar, Wen Zhang: Identification of the impact of content-related factors on the diffusion of misinformation: A Case study of the government intervention polices during COVID-19 pandemic in the UK.AMCIS2023]]>https://dblp.org/rec/conf/amcis/LuAKZ23Sun, 01 Jan 2023 00:00:00 +0100Improved Multi-Step, Multi-Variate, and Spatiotemporal 5G Data Usage Forecasting Without Deploying Data Imputation Techniques.https://doi.org/10.1109/GLOBECOM54140.2023.10437937Nikhil Cherian Kurian, Niraj Kumar: Improved Multi-Step, Multi-Variate, and Spatiotemporal 5G Data Usage Forecasting Without Deploying Data Imputation Techniques.GLOBECOM2023: 7417-7422]]>https://dblp.org/rec/conf/globecom/KurianK23Sun, 01 Jan 2023 00:00:00 +0100Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem.https://doi.org/10.48550/arXiv.2308.02342Ruslan Shaydulin, Changhao Li, Shouvanik Chakrabarti, Matthew DeCross, Dylan Herman, Niraj Kumar, Jeffrey Larson, Danylo Lykov, Pierre Minssen, Yue Sun, Yuri Alexeev, Joan M. Dreiling, John P. Gaebler, Thomas M. Gatterman, Justin A. Gerber, Kevin Gilmore, Dan Gresh, Nathan Hewitt, Chandler V. Horst, Shaohan Hu, Jacob Johansen, Mitchell Matheny, Tanner Mengle, Michael Mills, Steven A. Moses, Brian Neyenhuis, Peter Siegfried, Romina Yalovetzky, Marco Pistoia: Evidence of Scaling Advantage for the Quantum Approximate Optimization Algorithm on a Classically Intractable Problem.CoRRabs/2308.02342 (2023)]]>https://dblp.org/rec/journals/corr/abs-2308-02342Sun, 01 Jan 2023 00:00:00 +0100Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification.https://doi.org/10.48550/arXiv.2309.09976Niraj Kumar, Romina Yalovetzky, Changhao Li, Pierre Minssen, Marco Pistoia: Des-q: a quantum algorithm to construct and efficiently retrain decision trees for regression and binary classification.CoRRabs/2309.09976 (2023)]]>https://dblp.org/rec/journals/corr/abs-2309-09976Sun, 01 Jan 2023 00:00:00 +0100Expressive variational quantum circuits provide inherent privacy in federated learning.https://doi.org/10.48550/arXiv.2309.13002Niraj Kumar, Jamie Heredge, Changhao Li, Shaltiel Eloul, Shree Hari Sureshbabu, Marco Pistoia: Expressive variational quantum circuits provide inherent privacy in federated learning.CoRRabs/2309.13002 (2023)]]>https://dblp.org/rec/journals/corr/abs-2309-13002Sun, 01 Jan 2023 00:00:00 +0100Blind quantum machine learning with quantum bipartite correlator.https://doi.org/10.48550/arXiv.2310.12893Changhao Li, Boning Li, Omar Amer, Ruslan Shaydulin, Shouvanik Chakrabarti, Guoqing Wang, Haowei Xu, Hao Tang, Isidor Schoch, Niraj Kumar, Charles Lim, Ju Li, Paola Cappellaro, Marco Pistoia: Blind quantum machine learning with quantum bipartite correlator.CoRRabs/2310.12893 (2023)]]>https://dblp.org/rec/journals/corr/abs-2310-12893Sun, 01 Jan 2023 00:00:00 +0100Privacy-preserving quantum federated learning via gradient hiding.https://doi.org/10.48550/arXiv.2312.04447Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia: Privacy-preserving quantum federated learning via gradient hiding.CoRRabs/2312.04447 (2023)]]>https://dblp.org/rec/journals/corr/abs-2312-04447Sun, 01 Jan 2023 00:00:00 +0100SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals.https://doi.org/10.1007/s11517-022-02692-zRuchi Juyal, Muthusamy Hariharan, Niraj Kumar: SNOAR: a new regression approach for the removal of ocular artifact from multi-channel electroencephalogram signals.Medical Biol. Eng. Comput.60(12): 3567-3583 (2022)]]>https://dblp.org/rec/journals/mbec/JuyalHK22Sat, 01 Jan 2022 00:00:00 +0100Integral Transforms in a Physics-Informed (Quantum) Neural Network setting: Applications & Use-Cases.https://doi.org/10.48550/arXiv.2206.14184Niraj Kumar, Evan Philip, Vincent E. Elfving: Integral Transforms in a Physics-Informed (Quantum) Neural Network setting: Applications & Use-Cases.CoRRabs/2206.14184 (2022)]]>https://dblp.org/rec/journals/corr/abs-2206-14184Sat, 01 Jan 2022 00:00:00 +0100Smart Stacking of Deep Learning Models for Granular Joint Intent-Slot Extraction for Multi-Intent SLU.https://doi.org/10.1109/ACCESS.2021.3095416Niraj Kumar, Bhiman Kumar Baghel: Smart Stacking of Deep Learning Models for Granular Joint Intent-Slot Extraction for Multi-Intent SLU.IEEE Access9: 97582-97590 (2021)]]>https://dblp.org/rec/journals/access/KumarB21Fri, 01 Jan 2021 00:00:00 +0100Intent Focused Semantic Parsing and Zero-Shot Learning for Out-of-Domain Detection in Spoken Language Understanding.https://doi.org/10.1109/ACCESS.2021.3133657Niraj Kumar, Bhiman Kumar Baghel: Intent Focused Semantic Parsing and Zero-Shot Learning for Out-of-Domain Detection in Spoken Language Understanding.IEEE Access9: 165786-165794 (2021)]]>https://dblp.org/rec/journals/access/KumarB21aFri, 01 Jan 2021 00:00:00 +0100Content-based image retrieval using local texture features in distributed environment.https://doi.org/10.1142/S0219691319410017U. S. N. Raju, Suresh Kumar Kanaparthi, Pulkesh Haran, Ramya Sree Boppana, Niraj Kumar: Content-based image retrieval using local texture features in distributed environment.Int. J. Wavelets Multiresolution Inf. Process.18(1): 1941001:1-1941001:27 (2020)]]>https://dblp.org/rec/journals/ijwmip/RajuKHBK20Wed, 01 Jan 2020 00:00:00 +0100Responsible Research and Innovation (RRI) in Emerging Economies: a Preliminary Review.https://doi.org/10.1109/ICE/ITMC49519.2020.9198465Budi Harsanto, Niraj Kumar, Yuanzhu Zhan, Roula Michaelides: Responsible Research and Innovation (RRI) in Emerging Economies: a Preliminary Review.ICE/ITMC2020: 1-6]]>https://dblp.org/rec/conf/ice-itmc/HarsantoKZM20Wed, 01 Jan 2020 00:00:00 +0100Random polygon generation using 'GRP_AS' heuristic.https://doi.org/10.1109/IC3.2013.6612182Sanjib Sadhu, Niraj Kumar: Random polygon generation using 'GRP_AS' heuristic.IC32013: 13-17]]>https://dblp.org/rec/conf/ic3/SadhuK13Tue, 01 Jan 2013 00:00:00 +0100Quantum Algorithm to Solve a Maze: Converting the Maze Problem into a Search Problem.http://arxiv.org/abs/1312.4116Niraj Kumar, Debabrata Goswami: Quantum Algorithm to Solve a Maze: Converting the Maze Problem into a Search Problem.CoRRabs/1312.4116 (2013)]]>https://dblp.org/rec/journals/corr/KumarG13aTue, 01 Jan 2013 00:00:00 +0100