Sawan Kumar

According to our database, Sawan Kumar authored at least 10 papers between 2013 and 2024.

Collaborative distances:

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

2024

Towards Gaussian Process for operator learning: an uncertainty aware resolution independent operator learning algorithm for computational mechanics.

Sawan Kumar, Rajdip Nayek, Souvik Chakraborty

CoRR, 2024

Neural Operator induced Gaussian Process framework for probabilistic solution of parametric partial differential equations.

Sawan Kumar, Rajdip Nayek, Souvik Chakraborty

CoRR, 2024

2022

GPU-accelerated connectome discovery at scale.

Varsha Sreenivasan, Sawan Kumar, Franco Pestilli, Partha P. Talukdar, Devarajan Sridharan

Nat. Comput. Sci., 2022

Answer-level Calibration for Free-form Multiple Choice Question Answering.

Sawan Kumar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Reordering Examples Helps during Priming-based Few-Shot Learning.

Sawan Kumar, Partha P. Talukdar

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

NILE : Natural Language Inference with Faithful Natural Language Explanations.

Sawan Kumar, Partha P. Talukdar

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Answer Selection and Answer Triggering using Hard Negatives.

Sawan Kumar, Shweta Garg, Kartik Mehta, Nikhil Rasiwasia

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Zero-shot Word Sense Disambiguation using Sense Definition Embeddings.

Sawan Kumar, Sharmistha Jat, Karan Saxena, Partha P. Talukdar

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs.

Sawan Kumar, Varsha Sreenivasan, Partha P. Talukdar, Franco Pestilli, Devarajan Sridharan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2013

Comparison of multi-objective evolutionary neural network, adaptive neuro-fuzzy inference system and bootstrap-based neural network for flood forecasting.

Amal Kant, Pranmohan K. Suman, Brijesh Kumar Giri, Mukesh Tiwari, Chandranath Chatterjee, Purna C. Nayak, Sawan Kumar

Neural Comput. Appl., 2013