Pawan Kumar

According to our database, Pawan Kumar authored at least 33 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds.

Andi Han, Bamdev Mishra, Pratik Jawanpuria, Pawan Kumar, Junbin Gao

SIAM J. Optim., September, 2023

Enhancing ML model accuracy for Digital VLSI circuits using diffusion models: A study on synthetic data generation.

Prasha Srivastava, Pawan Kumar, Zia Abbas

CoRR, 2023

Structured Low-Rank Tensor Learning.

Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar

CoRR, 2023

Qualitative Data Augmentation for Performance Prediction in VLSI circuits.

Prasha Srivastava, Pawan Kumar, Zia Abbas

CoRR, 2023

Review of Extreme Multilabel Classification.

Arpan Dasgupta, Siddhant Katyan, Shrutimoy Das, Pawan Kumar

CoRR, 2023

marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization.

Kinal Mehta, Anuj Mahajan, Pawan Kumar

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition.

Arpan Dasgupta, Pawan Kumar

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Angle based dynamic learning rate for gradient descent.

Neel Mishra, Pawan Kumar

Proceedings of the International Joint Conference on Neural Networks, 2023

Light-weight Deep Extreme Multilabel Classification.

Istasis Mishra, Arpan Dasgupta, Pratik Jawanpuria, Bamdev Mishra, Pawan Kumar

Proceedings of the International Joint Conference on Neural Networks, 2023

Effects of Spectral Normalization in Multi-Agent Reinforcement Learning.

Kinal Mehta, Anuj Mahajan, Pawan Kumar

Proceedings of the International Joint Conference on Neural Networks, 2023

Adaptive Consensus Optimization Method for GANs.

Sachin Kumar Danisetty, Santhosh Reddy Mylaram, Pawan Kumar

Proceedings of the International Joint Conference on Neural Networks, 2023

Generalized Structured Low-Rank Tensor Learning.

Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar

Proceedings of the 6th Joint International Conference on Data Science & Management of Data (10th ACM IKDD CODS and 28th COMAD), 2023

2022

Nonnegative Low-Rank Tensor Completion via Dual Formulation with Applications to Image and Video Completion.

Tanmay Kumar Sinha, Jayadev Naram, Pawan Kumar

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Hybrid Tokenization and Datasets for Solving Mathematics and Science Problems Using Transformers.

Pratik Mandlecha, Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

A Riemannian Approach to Extreme Classification Problems.

Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

2021

On Riemannian Approach for Constrained Optimization Model in Extreme Classification Problems.

Jayadev Naram, Tanmay Kumar Sinha, Pawan Kumar

CoRR, 2021

SCIMAT: Science and Mathematics Dataset.

Neeraj Kollepara, Snehith Kumar Chatakonda, Pawan Kumar

CoRR, 2021

A Deflation based Fast and Robust Preconditioner for Bundle Adjustment.

Shrutimoy Das, Siddhant Katyan, Pawan Kumar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DXML: Distributed Extreme Multilabel Classification.

Pawan Kumar

Proceedings of the Big Data Analytics - 9th International Conference, 2021

SCIMAT: Dataset of Problems in Science and Mathematics.

Snehith Kumar Chatakonda, Neeraj Kollepara, Pawan Kumar

Proceedings of the Big Data Analytics - 9th International Conference, 2021

2020

Enhancing multi-tenancy security in the cloud computing using hybrid ECC-based data encryption approach.

Pawan Kumar, Ashutosh Kumar Bhatt

IET Commun., 2020

Two-Grid Preconditioned Solver for Bundle Adjustment.

Siddhant Katyan, Shrutimoy Das, Pawan Kumar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Multithreaded Filtering Preconditioner for Diffusion Equation on Structured Grid.

Abhinav Aggarwal, Shivam Kakkar, Pawan Kumar

CoRR, 2019

Efficient FPGA Implementation of Conjugate Gradient Methods for Laplacian System using HLS.

Sahithi Rampalli, Natasha Sehgal, Ishita Bindlish, Tanya Tyagi, Pawan Kumar

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018

Transzaar: Empowers Human Translators.

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

Proceedings of the 18th International Conference on Computational Science and Applications, 2018

2017

Preconditioners for Saddle Point Problems on Truncated Domains in Phase Separation Modelling.

Pawan Kumar

CoRR, 2017

Improve performance of machine translation service using memcached.

Priyank Gupta, Rashid Ahmad, Manish Shrivastava, Pawan Kumar, Mukul K. Sinha

Proceedings of the Computational Science and Its Applications - ICCSA 2017, 2017

2014

Improve User Experience on Web for Machine Translation System Using Storm.

Rashid Ahmad, Pawan Kumar, Ashutosh Kumar, Mukul K. Sinha, B. D. Chaudhary

Proceedings of the 2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014

2013

Machine Translation System as Virtual Appliance: For Scalable Service Deployment on Cloud.

Pawan Kumar, Rashid Ahmad, Banshi Dhar Chaudhary, Rajeev Sangal

Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

Dashboard: A Tool for Integration, Validation, and Visualization of Distributed NLP Systems on Heterogeneous Platforms.

Pawan Kumar, Rashid Ahmad, Banshi Dhar Chaudhary, Mukul K. Sinha

Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Enriched Dashboard: An Integration and Visualization Tool for Distributed NLP Systems on Heterogeneous Platforms.

Pawan Kumar, Rashid Ahmad, B. D. Chaudhary, Mukul K. Sinha

Proceedings of the Computational Science and Its Applications - ICCSA 2013, 2013

2010

Dashboard: An integration and testing platform based on backboard architecture for NLP applications.

Pawan Kumar, Arun Kumar Rathaur, Rashid Ahmad, Mukul K. Sinha, Rajeev Sangal

Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010

Re-engineering Machine Translation Systems through Symbiotic Approach.

Pawan Kumar, Rashid Ahmad, Arun Kumar Rathaur, Mukul K. Sinha, Rajeev Sangal

Proceedings of the Contemporary Computing - Third International Conference, 2010