Pawan Kumar - RankMe

49 papers A 6B 6C 1Journal 23Unranked 13

Year	Rank	Type	Title / Venue / Authors
2024	B	`conf`	A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. IJCNN Neel Mishra, Pawan Kumar, Pratik Jawanpuria, Bamdev Mishra
2024	J	`jnl`	A Gauss-Newton Approach for Min-Max Optimization in Generative Adversarial Networks. CoRR Neel Mishra, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar
2024	C	`conf`	Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generation. ISCAS Prasha Srivastava, Pawan Kumar, Zia Abbas
2024	J	`jnl`	HE-AO: An Optimization-Based Encryption Approach for Data Delivery Model in A Multi-Tenant Environment. Wirel. Pers. Commun. Pawan Kumar, Ashutosh Kumar Bhatt
2024	J	`jnl`	Qualitative data augmentation for performance prediction in VLSI circuits. Integr. Prasha Srivastava, Pawan Kumar, Zia Abbas
2023	A	`conf`	A Label-Free Low-Cost Radio Frequency Driven Noninvasive Lab-on-Chip System for Creatinine Detection. ICST Swarnim Sinha, Andleeb Zahra, Imran Siddiqui, Pawan Kumar, Alimpan Modak, Prabhakar Bhimalapuram, Tapan K. Sau, Syed Azeemuddin, Zia Abbas
2023	B	`conf`	Adaptive Consensus Optimization Method for GANs. IJCNN Sachin Kumar Danisetty, Santhosh Reddy Mylaram, Pawan Kumar
2023	J	`jnl`	Adaptive Consensus Optimization Method for GANs. CoRR Sachin Kumar Danisetty, Santhosh Reddy Mylaram, Pawan Kumar
2023	—	`conf`	Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition. ECML/PKDD (4) Arpan Dasgupta, Pawan Kumar
2023	J	`jnl`	Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In during Sparse Matrix Decomposition. CoRR Arpan Dasgupta, Pawan Kumar
2023	B	`conf`	Angle based dynamic learning rate for gradient descent. IJCNN Neel Mishra, Pawan Kumar
2023	J	`jnl`	Angle based dynamic learning rate for gradient descent. CoRR Neel Mishra, Pawan Kumar
2023	B	`conf`	Effects of Spectral Normalization in Multi-Agent Reinforcement Learning. IJCNN Kinal Mehta, Anuj Mahajan, Pawan Kumar
2023	J	`jnl`	Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generation. CoRR Prasha Srivastava, Pawan Kumar, Zia Abbas
2023	—	`conf`	Generalized Structured Low-Rank Tensor Learning. COMAD/CODS Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar
2023	B	`conf`	Light-weight Deep Extreme Multilabel Classification. IJCNN Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar
2023	J	`jnl`	Light-weight Deep Extreme Multilabel Classification. CoRR Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar
2023	J	`jnl`	Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. CoRR Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar
2023	J	`jnl`	Qualitative Data Augmentation for Performance Prediction in VLSI circuits. CoRR Prasha Srivastava, Pawan Kumar, Zia Abbas
2023	J	`jnl`	Review of Extreme Multilabel Classification. CoRR Arpan Dasgupta, Siddhant Katyan, Shrutimoy Das, Pawan Kumar
2023	J	`jnl`	Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds. SIAM J. Optim. Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
2023	J	`jnl`	Structured Low-Rank Tensor Learning. CoRR Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar
2023	—	`conf`	marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization. ECML/PKDD (7) Kinal Mehta, Anuj Mahajan, Pawan Kumar
2023	J	`jnl`	marl-jax: Multi-agent Reinforcement Leaning framework for Social Generalization. CoRR Kinal Mehta, Anuj Mahajan, Pawan Kumar
2022	—	`conf`	A Riemannian Approach to Extreme Classification Problems. COMAD/CODS Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar
2022	J	`jnl`	Effects of Spectral Normalization in Multi-agent Reinforcement Learning. CoRR Kinal Mehta, Anuj Mahajan, Pawan Kumar
2022	A	`conf`	Hybrid Tokenization and Datasets for Solving Mathematics and Science Problems Using Transformers. SDM Pratik Mandlecha, Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar
2022	A	`conf`	Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion. WACV Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar
2022	J	`jnl`	Riemannian Hamiltonian methods for min-max optimization on manifolds. CoRR Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao
2021	A	`conf`	A Deflation based Fast and Robust Preconditioner for Bundle Adjustment. WACV Shrutimoy Das, Siddhant Katyan, Pawan Kumar
2021	—	`conf`	DXML: Distributed Extreme Multilabel Classification. BDA Pawan Kumar
2021	J	`jnl`	DXML: Distributed Extreme Multilabel Classification. CoRR Pawan Kumar
2021	J	`jnl`	On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems. CoRR Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar
2021	—	`conf`	SCIMAT: Dataset of Problems in Science and Mathematics. BDA Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar
2021	J	`jnl`	SCIMAT: Science and Mathematics Dataset. CoRR Neeraj Kollepara, Snehith Kumar Chatakonda, Pawan Kumar
2020	J	`jnl`	Enhancing multi-tenancy security in the cloud computing using hybrid ECC-based data encryption approach. IET Commun. Pawan Kumar, Ashutosh Kumar Bhatt
2020	A	`conf`	Two-Grid Preconditioned Solver for Bundle Adjustment. WACV Siddhant Katyan, Shrutimoy Das, Pawan Kumar
2019	A	`conf`	Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS. FPGA Sahithi Rampalli, Natasha Sehgal, Ishita Bindlish, Tanya Tyagi, Pawan Kumar
2019	J	`jnl`	Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid. CoRR Abhinav Aggarwal, Shivam Kakkar, Pawan Kumar
2018	J	`jnl`	Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS. CoRR Sahithi Rampalli, Natasha Sehgal, Ishita Bindlish, Tanya Tyagi, Pawan Kumar
2018	—	`conf`	Transzaar: Empowers Human Translators. ICCSA (6) 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
2017	—	`conf`	Improve performance of machine translation service using memcached. ICCSA (7) Priyank Gupta, Rashid Ahmad, Manish Shrivastava, Pawan Kumar, Mukul K. Sinha
2017	J	`jnl`	Preconditioners for Saddle Point Problems on Truncated Domains in Phase Separation Modelling. CoRR Pawan Kumar
2014	—	`conf`	Improve User Experience on Web for Machine Translation System Using Storm. BDCloud Rashid Ahmad, Pawan Kumar, Ashutosh Kumar, Mukul K. Sinha, B. D. Chaudhary
2013	B	`conf`	Dashboard: A Tool for Integration, Validation, and Visualization of Distributed NLP Systems on Heterogeneous Platforms. IJCNLP Pawan Kumar, Rashid Ahmad, Banshi Dhar Chaudhary, Mukul K. Sinha
2013	—	`conf`	Enriched Dashboard: An Integration and Visualization Tool for Distributed NLP Systems on Heterogeneous Platforms. ICCSA (6) Pawan Kumar, Rashid Ahmad, B. D. Chaudhary, Mukul K. Sinha
2013	—	`conf`	Machine Translation System as Virtual Appliance: For Scalable Service Deployment on Cloud. SOSE Pawan Kumar, Rashid Ahmad, Banshi Dhar Chaudhary, Rajeev Sangal
2010	—	`conf`	Dashboard: An integration and testing platform based on backboard architecture for NLP applications. NLPKE Pawan Kumar, Arun Kumar Rathaur, Rashid Ahmad, Mukul K. Sinha, Rajeev Sangal
2010	—	`conf`	Re-engineering Machine Translation Systems through Symbiotic Approach. IC3 (2) Pawan Kumar, Rashid Ahmad, Arun Kumar Rathaur, Mukul K. Sinha, Rajeev Sangal