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ORCIDPawan Kumar 0001
Person information
- affiliation: International Institute of Information Technology Hyderbad, Gachibowli, India
- affiliation: Expert Software Consultants Ltd., New Delhi, India
Other persons with the same name
- Pawan Kumar — disambiguation page
- Pawan Kumar 0002
![[0000-0002-7408-0942]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-7408-0942")
— Indian School of Mines, Department of Electronics Engineering, Dhanbad, India - Pawan Kumar 0003 — Indian Institute of Technology Guwahati, Department of Electronics and Electrical Engineering, India
- Pawan Kumar 0004 (aka: Pawan Kumar Mehla) — Thapar University, Patiala, India (and 2 more)
- Pawan Kumar 0005 — Indian Institute of Technology Delhi (IIT Delhi), India
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2020 – today
- 2024
[i19]Neel Mishra, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar:
A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. CoRR abs/2404.07172 (2024)- 2023
- [j2]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. 33(3): 1797-1827 (2023) - [c23]Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
Generalized Structured Low-Rank Tensor Learning. COMAD/CODS 2023: 79-86 - [c22]Sachin Kumar Danisetty, Santhosh Reddy Mylaram, Pawan Kumar:
Adaptive Consensus Optimization Method for GANs. IJCNN 2023: 1-8 - [c21]Kinal Mehta, Anuj Mahajan, Pawan Kumar:
Effects of Spectral Normalization in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-8 - [c20]Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar:
Light-weight Deep Extreme Multilabel Classification. IJCNN 2023: 1-8 - [c19]Neel Mishra, Pawan Kumar:
Angle based dynamic learning rate for gradient descent. IJCNN 2023: 1-8 - [c18]Kinal Mehta, Anuj Mahajan, Pawan Kumar:
marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization. ECML/PKDD (7) 2023: 300-304 - [c17]Arpan Dasgupta, Pawan Kumar:
Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition. ECML/PKDD (4) 2023: 472-488 - [i18]Arpan Dasgupta, Siddhant Katyan, Shrutimoy Das, Pawan Kumar:
Review of Extreme Multilabel Classification. CoRR abs/2302.05971 (2023) - [i17]Prasha Srivastava, Pawan Kumar, Zia Abbas:
Qualitative Data Augmentation for Performance Prediction in VLSI circuits. CoRR abs/2302.07566 (2023) - [i16]Kinal Mehta, Anuj Mahajan, Pawan Kumar:
marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization. CoRR abs/2303.13808 (2023) - [i15]Sachin Kumar Danisetty, Santhosh Reddy Mylaram, Pawan Kumar:
Adaptive Consensus Optimization Method for GANs. CoRR abs/2304.10317 (2023) - [i14]Neel Mishra, Pawan Kumar:
Angle based dynamic learning rate for gradient descent. CoRR abs/2304.10457 (2023) - [i13]Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar:
Light-weight Deep Extreme Multilabel Classification. CoRR abs/2304.11045 (2023) - [i12]Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
Structured Low-Rank Tensor Learning. CoRR abs/2305.07967 (2023) - [i11]Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar:
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. CoRR abs/2305.07976 (2023) - [i10]Arpan Dasgupta, Pawan Kumar:
Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In during Sparse Matrix Decomposition. CoRR abs/2310.09852 (2023) - [i9]Prasha Srivastava, Pawan Kumar, Zia Abbas:
Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generation. CoRR abs/2310.10691 (2023) - 2022
- [c16]Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
A Riemannian Approach to Extreme Classification Problems. COMAD/CODS 2022: 54-62 - [c15]Pratik Mandlecha, Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar:
Hybrid Tokenization and Datasets for Solving Mathematics and Science Problems Using Transformers. SDM 2022: 289-297 - [c14]Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar:
Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. WACV 2022: 4069-4077 - [i8]Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao:
Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR abs/2204.11418 (2022) - [i7]Kinal Mehta, Anuj Mahajan, Pawan Kumar:
Effects of Spectral Normalization in Multi-agent Reinforcement Learning. CoRR abs/2212.05331 (2022) - 2021
- [c13]Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar:
SCIMAT: Dataset of Problems in Science and Mathematics. BDA 2021: 211-226 - [c12]Pawan Kumar:
DXML: Distributed Extreme Multilabel Classification. BDA 2021: 311-321 - [c11]Shrutimoy Das, Siddhant Katyan, Pawan Kumar:
A Deflation based Fast and Robust Preconditioner for Bundle Adjustment. WACV 2021: 1781-1788 - [i6]Neeraj Kollepara, Snehith Kumar Chatakonda, Pawan Kumar:
SCIMAT: Science and Mathematics Dataset. CoRR abs/2109.15005 (2021) - [i5]Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar:
On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems. CoRR abs/2109.15021 (2021) - [i4]Pawan Kumar:
DXML: Distributed Extreme Multilabel Classification. CoRR abs/2112.10297 (2021) - 2020
- [j1]Pawan Kumar, Ashutosh Kumar Bhatt:
Enhancing multi-tenancy security in the cloud computing using hybrid ECC-based data encryption approach. IET Commun. 14(18): 3212-3222 (2020) - [c10]Siddhant Katyan, Shrutimoy Das, Pawan Kumar:
Two-Grid Preconditioned Solver for Bundle Adjustment. WACV 2020: 3588-3595
2010 – 2019
- 2019
- [c9]Sahithi Rampalli, Natasha Sehgal, Ishita Bindlish, Tanya Tyagi, Pawan Kumar:
Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS. FPGA 2019: 308-309 - [i3]Abhinav Aggarwal, Shivam Kakkar, Pawan Kumar:
Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid. CoRR abs/1909.09771 (2019) - 2018
- [c8]Rashid Ahmad, Priyank Gupta, Nagaraju Vuppala, Sanket Kumar Pathak, Ashutosh Kumar, Gagan Soni, Sravan Kumar, Manish Shrivastava, Avinash K. Singh, Arbind K. Gangwar, Pawan Kumar, Mukul K. Sinha:
Transzaar: Empowers Human Translators. ICCSA (6) 2018: 1-8 - [i2]Sahithi Rampalli, Natasha Sehgal, Ishita Bindlish, Tanya Tyagi, Pawan Kumar:
Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS. CoRR abs/1803.03797 (2018) - 2017
- [c7]Priyank Gupta, Rashid Ahmad, Manish Shrivastava, Pawan Kumar, Mukul K. Sinha:
Improve performance of machine translation service using memcached. ICCSA (7) 2017: 1-8 - [i1]Pawan Kumar:
Preconditioners for Saddle Point Problems on Truncated Domains in Phase Separation Modelling. CoRR abs/1709.10339 (2017) - 2014
- [c6]Rashid Ahmad, Pawan Kumar, Ashutosh Kumar, Mukul K. Sinha, B. D. Chaudhary:
Improve User Experience on Web for Machine Translation System Using Storm. BDCloud 2014: 243-248 - 2013
- [c5]Pawan Kumar, Rashid Ahmad, B. D. Chaudhary, Mukul K. Sinha:
Enriched Dashboard: An Integration and Visualization Tool for Distributed NLP Systems on Heterogeneous Platforms. ICCSA (6) 2013: 105-114 - [c4]Pawan Kumar, Rashid Ahmad, Banshi Dhar Chaudhary, Mukul K. Sinha:
Dashboard: A Tool for Integration, Validation, and Visualization of Distributed NLP Systems on Heterogeneous Platforms. IJCNLP 2013: 9-12 - [c3]Pawan Kumar, Rashid Ahmad, Banshi Dhar Chaudhary, Rajeev Sangal:
Machine Translation System as Virtual Appliance: For Scalable Service Deployment on Cloud. SOSE 2013: 304-308 - 2010
- [c2]Pawan Kumar, Rashid Ahmad, Arun Kumar Rathaur, Mukul K. Sinha, Rajeev Sangal:
Re-engineering Machine Translation Systems through Symbiotic Approach. IC3 (2) 2010: 193-204 - [c1]Pawan Kumar, Arun Kumar Rathaur, Rashid Ahmad, Mukul K. Sinha, Rajeev Sangal:
Dashboard: An integration and testing platform based on backboard architecture for NLP applications. NLPKE 2010: 1-8
Coauthor Index
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last updated on 2024-05-29 23:13 CEST by the dblp team
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