Nishant Panda

According to our database, Nishant Panda authored at least 15 papers between 2014 and 2023.

Collaborative distances:

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

2023

On the Existence of Steady-State Solutions to the Equations Governing Fluid Flow in Networks.

Shriram Srinivasan, Nishant Panda, Kaarthik Sundar

CoRR, 2023

Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation.

Nishant Panda, Natalie Klein, Dominic Yang, Patrick Gasda, Diane Oyen

CoRR, 2023

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques.

Hamdy Abdelkhalik, Shamminuj Aktar, Yehia Arafa, Atanu Barai, Gopinath Chennupati, Nandakishore Santhi, Nishant Panda, Nirmal Prajapati, Nazmul Haque Turja, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy

Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022

Generative structured normalizing flow Gaussian processes applied to spectroscopic data.

Natalie Klein, Nishant Panda, Patrick Gasda, Diane Oyen

CoRR, 2022

BB-ML: Basic Block Performance Prediction using Machine Learning Techniques.

Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy

CoRR, 2022

2021

Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra.

Katiana Kontolati, Natalie Klein, Nishant Panda, Diane Oyen

CoRR, 2021

Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks.

Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty.

Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan

SIAM/ASA J. Uncertain. Quantification, 2020

Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling.

Nishant Panda, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen, Humberto Godinez

J. Comput. Phys., 2020

StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials.

Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue

CoRR, 2020

Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems.

Anishi Mehta, Cory Braker Scott, Diane Oyen, Nishant Panda, Gowri Srinivasan

Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019

What is the gradient of a scalar function of a symmetric matrix ?

Shriram Srinivasan, Nishant Panda

CoRR, 2019

2018

Estimating Failure in Brittle Materials using Graph Theory.

Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan

CoRR, 2018

2016

A Hybridized Discontinuous Galerkin Method for the Nonlinear Korteweg-de Vries Equation.

Ali Samii, Nishant Panda, Craig Michoski, Clint Dawson

J. Sci. Comput., 2016

2014

Discontinuous Galerkin methods for solving Boussinesq-Green-Naghdi equations in resolving non-linear and dispersive surface water waves.

Nishant Panda, Clint Dawson, Yao Zhang, Andrew B. Kennedy, Joannes J. Westerink, Aaron S. Donahue

J. Comput. Phys., 2014