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ORCIDNiraj Kumar
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Niraj Kumar 0001 — IIIT-Hyderabad, India
- Niraj Kumar 0002
![[0000-0002-7918-5188]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7918-5188")
— University of Liverpool, Management School, UK (and 2 more) - Niraj Kumar 0003 — IIIT-Allahabad, India
- Niraj Kumar 0004 — IIT Patna, Patna, India
- Niraj Kumar 0005 — University of Edinburgh, Edinburgh, UK
- Niraj Kumar 0006 — University of Massachusetts Boston, MA, USA
- Niraj Kumar 0007 — IIT Delhi, Delhi, India
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2020 – today
- 2024
[c7]Zichang 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. DAC 2024: 362:1-362:4- [c6]Niraj Kumar, Chuanchao Gao, Arvind Easwaran:
Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems. DATE 2024: 1-6 - [c5]Supriya Bajpai, Pagadala Krishna Murthy, Niraj Kumar:
AnomGraphAdv: Enhancing Anomaly and Network Intrusion Detection in Wireless Networks Using Adversarial Training and Temporal Graph Networks. WISEC 2024: 113-122 - [i10]Niraj Kumar, Chuanchao Gao, Arvind Easwaran:
Optimal Fixed Priority Scheduling in Multi-Stage Multi-Resource Distributed Real-Time Systems. CoRR abs/2403.13411 (2024) - [i9]Jamie Heredge, Niraj Kumar, Dylan Herman, Shouvanik Chakrabarti, Romina Yalovetzky, Shree Hari Sureshbabu, Changhao Li, Marco Pistoia:
Prospects of Privacy Advantage in Quantum Machine Learning. CoRR abs/2405.08801 (2024) - [i8]Romina Yalovetzky, Niraj Kumar, Changhao Li, Marco Pistoia:
QC-Forest: a Classical-Quantum Algorithm to Provably Speedup Retraining of Random Forest. CoRR abs/2406.12008 (2024) - 2023
- [j5]Christa 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. Quantum 7: 909 (2023) - [c4]Meichen 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. AMCIS 2023 - [c3]Nikhil Cherian Kurian, Niraj Kumar:
Improved Multi-Step, Multi-Variate, and Spatiotemporal 5G Data Usage Forecasting Without Deploying Data Imputation Techniques. GLOBECOM 2023: 7417-7422 - [i7]Ruslan 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. CoRR abs/2308.02342 (2023) - [i6]Niraj 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. CoRR abs/2309.09976 (2023) - [i5]Niraj Kumar, Jamie Heredge, Changhao Li, Shaltiel Eloul, Shree Hari Sureshbabu, Marco Pistoia:
Expressive variational quantum circuits provide inherent privacy in federated learning. CoRR abs/2309.13002 (2023) - [i4]Changhao 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. CoRR abs/2310.12893 (2023) - [i3]Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia:
Privacy-preserving quantum federated learning via gradient hiding. CoRR abs/2312.04447 (2023) - 2022
- [j4]Ruchi 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) - [i2]Niraj Kumar, Evan Philip, Vincent E. Elfving:
Integral Transforms in a Physics-Informed (Quantum) Neural Network setting: Applications & Use-Cases. CoRR abs/2206.14184 (2022) - 2021
- [j3]Niraj Kumar, Bhiman Kumar Baghel:
Smart Stacking of Deep Learning Models for Granular Joint Intent-Slot Extraction for Multi-Intent SLU. IEEE Access 9: 97582-97590 (2021) - [j2]Niraj Kumar, Bhiman Kumar Baghel:
Intent Focused Semantic Parsing and Zero-Shot Learning for Out-of-Domain Detection in Spoken Language Understanding. IEEE Access 9: 165786-165794 (2021) - 2020
- [j1]U. 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) - [c2]Budi Harsanto, Niraj Kumar, Yuanzhu Zhan, Roula Michaelides:
Responsible Research and Innovation (RRI) in Emerging Economies: a Preliminary Review. ICE/ITMC 2020: 1-6
2010 – 2019
- 2013
- [c1]Sanjib Sadhu, Niraj Kumar:
Random polygon generation using 'GRP_AS' heuristic. IC3 2013: 13-17 - [i1]Niraj Kumar, Debabrata Goswami:
Quantum Algorithm to Solve a Maze: Converting the Maze Problem into a Search Problem. CoRR abs/1312.4116 (2013)
Coauthor Index
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last updated on 2024-11-14 00:55 CET by the dblp team
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