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Navjot Singh
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
- Navjot Singh 0001 — Avaya Labs, Basking Ridge, NJ, USA
- Navjot Singh 0002 — School of Computer & Systems Sciences, JNU, New Delhi, India
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2020 – today
- 2024
- [b1]Navjot Singh:
Towards Efficient Federated Learning: Overcoming Challenges in Communication, Heterogeneity, and Data Scarcity. University of California, Los Angeles, USA, 2024 - [j13]Navjot Singh, Xuanyu Cao, Suhas N. Diggavi, Tamer Basar:
Decentralized multi-task stochastic optimization with compressed communications. Autom. 159: 111363 (2024) - [j12]Debesh Kumar Shandilya, Spandan Roy, Navjot Singh:
Optimized RainDNet: an efficient image deraining method with enhanced perceptual quality. Signal Image Video Process. 18(10): 7131-7143 (2024) - 2023
- [j11]Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Navjot Singh:
Semantic web-based diagnosis and treatment of vector-borne diseases using SWRL rules. Knowl. Based Syst. 274: 110645 (2023) - [j10]Navjot Singh, Edgar Solomonik:
Alternating Mahalanobis Distance Minimization for Accurate and Well-Conditioned CP Decomposition. SIAM J. Sci. Comput. 45(6): 2781-2812 (2023) - [j9]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Optimization. IEEE Trans. Autom. Control. 68(2): 721-736 (2023) - [c12]Navjot Singh, Suhas N. Diggavi:
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression. ISIT 2023: 561-566 - [i12]Ritesh Chandra, Sadhana Tiwari, Sonali Agarwal, Navjot Singh:
Semantic rule Web-based Diagnosis and Treatment of Vector-Borne Diseases using SWRL rules. CoRR abs/2301.03013 (2023) - [i11]Navjot Singh, Suhas N. Diggavi:
Representation Transfer Learning via Multiple Pre-trained models for Linear Regression. CoRR abs/2305.16440 (2023) - 2022
- [j8]Ritesh Chandra, Sonali Agarwal, Navjot Singh:
Semantic sensor network ontology based decision support system for forest fire management. Ecol. Informatics 72: 101821 (2022) - [j7]Navjot Singh, Zecheng Zhang, Xiaoxiao Wu, Naijing Zhang, Siyuan Zhang, Edgar Solomonik:
Distributed-memory tensor completion for generalized loss functions in python using new sparse tensor kernels. J. Parallel Distributed Comput. 169: 269-285 (2022) - [c11]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao (Danica) Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
ATD: Augmenting CP Tensor Decomposition by Self Supervision. NeurIPS 2022 - [i10]Ritesh Chandra, Sonali Agarwal, Navjot Singh:
Semantic Sensor Network Ontology based Decision Support System for Forest Fire Management. CoRR abs/2204.03059 (2022) - [i9]Navjot Singh, Edgar Solomonik:
Alternating Mahalanobis Distance Minimization for Stable and Accurate CP Decomposition. CoRR abs/2204.07208 (2022) - 2021
- [j6]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization. IEEE J. Sel. Areas Inf. Theory 2(3): 954-969 (2021) - [j5]Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik:
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CANDECOMC/PARAFAC Decomposition. SIAM J. Sci. Comput. 43(4): C290-C311 (2021) - [c10]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization. ISIT 2021: 1212-1217 - [c9]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. KDD 2021: 1953-1963 - [c8]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. NeurIPS 2021: 3622-3634 - [i8]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeL: Quantized Personalization with Applications to Federated Learning. CoRR abs/2102.11786 (2021) - [i7]Chaoqi Yang, Navjot Singh, Cao Xiao, Cheng Qian, Edgar Solomonik, Jimeng Sun:
MTC: Multiresolution Tensor Completion from Partial and Coarse Observations. CoRR abs/2106.07135 (2021) - [i6]Chaoqi Yang, Cheng Qian, Navjot Singh, Cao Xiao, M. Brandon Westover, Edgar Solomonik, Jimeng Sun:
Augmented Tensor Decomposition with Stochastic Optimization. CoRR abs/2106.07900 (2021) - [i5]Kaan Ozkara, Navjot Singh, Deepesh Data, Suhas N. Diggavi:
QuPeD: Quantized Personalization via Distillation with Applications to Federated Learning. CoRR abs/2107.13892 (2021) - [i4]Navjot Singh, Xuanyu Cao, Suhas N. Diggavi, Tamer Basar:
Decentralized Multi-Task Stochastic Optimization With Compressed Communications. CoRR abs/2112.12373 (2021) - 2020
- [j4]Devansh Batra, Nirav Diwan, Utkarsh Upadhyay, Jushaan Singh Kalra, Tript Sharma, Aman Kumar Sharma, Dheeraj Khanna, Jaspreet Singh Marwah, Srilakshmi Kalathil, Navjot Singh, Rudraksh Tuwani, Ganesh Bagler:
RecipeDB: a resource for exploring recipes. Database J. Biol. Databases Curation 2020 (2020) - [j3]Amritpal Singh, Amanpreet Singh Saimbhi, Navjot Singh, Mamta Mittal:
DeepFake Video Detection: A Time-Distributed Approach. SN Comput. Sci. 1(4): 212 (2020) - [c7]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Optimization. CDC 2020: 3449-3456 - [c6]Manas Abhilash Gundapuneni, Anzum Bano, Navjot Singh:
Enhanced Security Architecture for Visual Cryptography Based on Image Secret Sharing. UEMCON 2020: 749-755 - [i3]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization. CoRR abs/2005.07041 (2020)
2010 – 2019
- 2019
- [c5]Monjur Ahmed, Navjot Singh:
A Framework for Strategic Cloud Migration. ICCAI 2019: 160-163 - [c4]Rudraksh Tuwani, Nutan Sahoo, Navjot Singh, Ganesh Bagler:
Computational Models for the Evolution of World Cuisines. ICDE Workshops 2019: 85-90 - [i2]Navjot Singh, Linjian Ma, Hongru Yang, Edgar Solomonik:
Comparison of Accuracy and Scalability of Gauss-Newton and Alternating Least Squares for CP Decomposition. CoRR abs/1910.12331 (2019) - [i1]Navjot Singh, Deepesh Data, Jemin George, Suhas N. Diggavi:
SPARQ-SGD: Event-Triggered and Compressed Communication in Decentralized Stochastic Optimization. CoRR abs/1910.14280 (2019) - 2018
- [j2]Neelansh Garg, Apuroop Sethupathy, Rudraksh Tuwani, Rakhi NK, Shubham Dokania, Arvind Iyer, Ayushi Gupta, Shubhra Agrawal, Navjot Singh, Shubham Shukla, Kriti Kathuria, Rahul Badhwar, Rakesh Kanji, Anupam Jain, Avneet Kaur, Rashmi Nagpal, Ganesh Bagler:
FlavorDB: a database of flavor molecules. Nucleic Acids Res. 46(Database-Issue): D1210-D1216 (2018) - [c3]Ganesh Bagler, Navjot Singh:
Data-Driven Investigations of Culinary Patterns in Traditional Recipes Across the World. ICDE Workshops 2018: 157-162 - 2017
- [j1]Boyang Li, Mithat C. Kisacikoglu, Chen Liu, Navjot Singh, Melike Erol-Kantarci:
Big Data Analytics for Electric Vehicle Integration in Green Smart Cities. IEEE Commun. Mag. 55(11): 19-25 (2017) - [c2]Atanu R. Sinha, Meghanath Macha, Pranav Maneriker, Sopan Khosla, Avani Samdariya, Navjot Singh:
Anti-Ad Blocking Strategy: Measuring its True Impact. ADKDD@KDD 2017: 3:1-3:6 - 2016
- [c1]Navjot Singh, Clark Verbrugge:
Staying Hidden: An Analysis of Hiding Strategies in a 2D Level with Occlusions. AIIDE 2016: 72-78
Coauthor Index
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last updated on 2024-10-07 22:16 CEST by the dblp team
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