Nishant Panda

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 16

Top Topics

Gaussian Process

Machine Learning

Density Estimation

Top Venues

J. Comput. Phys.

IEEE Control. Syst. Lett.

Publications

Shriram Srinivasan, Nishant Panda, Kaarthik Sundar
On the Existence of Steady-State Solutions to the Equations Governing Fluid Flow in Networks. IEEE Control. Syst. Lett. 8 (2024)
Yifeng Tian, Nishant Panda, Yen Ting Lin
Liouville Flow Importance Sampler. CoRR (2024)
Nishant Panda, Natalie Klein, Dominic Yang, Patrick Gasda, Diane Oyen
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation. CoRR (2023)
Shriram Srinivasan, Nishant Panda, Kaarthik Sundar
On the Existence of Steady-State Solutions to the Equations Governing Fluid Flow in Networks. CoRR (2023)
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
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. ICPADS (2023)
Shamminuj Aktar, Hamdy Abdelkhalik, Nazmul Haque Turja, Yehia Arafa, Atanu Barai, Nishant Panda, Gopinath Chennupati, Nandakishore Santhi, Stephan J. Eidenbenz, Abdel-Hameed A. Badawy
BB-ML: Basic Block Performance Prediction using Machine Learning Techniques. CoRR (2022)
Natalie Klein, Nishant Panda, Patrick Gasda, Diane Oyen
Generative structured normalizing flow Gaussian processes applied to spectroscopic data. CoRR (2022)
Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan Urban, Michael Grosskopf, Jonathan David Wolfe, Earl Lawrence
Fast Gaussian Process Estimation for Large-Scale In Situ Inference using Convolutional Neural Networks. IEEE BigData (2021)
Katiana Kontolati, Natalie Klein, Nishant Panda, Diane Oyen
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra. CoRR (2021)
Nishant Panda, Dave Osthus, Gowri Srinivasan, Daniel O'Malley, Viet T. Chau, Diane Oyen, Humberto Godinez
Mesoscale informed parameter estimation through machine learning: A case-study in fracture modeling. J. Comput. Phys. 420 (2020)
Yinan Wang, Diane Oyen, Weihong Guo, Anishi Mehta, Cory Braker Scott, Nishant Panda, M. Giselle Fernández-Godino, Gowri Srinivasan, Xiaowei Yue
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials. CoRR (2020)
Anishi Mehta, Cory Braker Scott, Diane Oyen, Nishant Panda, Gowri Srinivasan
Physics-Informed Spatiotemporal Deep Learning for Emulating Coupled Dynamical Systems. AAAI Spring Symposium: MLPS (2020)
Dave Osthus, Jeffrey D. Hyman, Satish Karra, Nishant Panda, Gowri Srinivasan
A Probabilistic Clustering Approach for Identifying Primary Subnetworks of Discrete Fracture Networks with Quantified Uncertainty. SIAM/ASA J. Uncertain. Quantification 8 (2) (2020)
Shriram Srinivasan, Nishant Panda
What is the gradient of a scalar function of a symmetric matrix ? CoRR (2019)
Maruti Kumar Mudunuru, Nishant Panda, Satish Karra, Gowri Srinivasan, Viet T. Chau, Esteban Rougier, A. Hunter, Hari S. Viswanathan
Estimating Failure in Brittle Materials using Graph Theory. CoRR (2018)
Ali Samii, Nishant Panda, Craig Michoski, Clint Dawson
A Hybridized Discontinuous Galerkin Method for the Nonlinear Korteweg-de Vries Equation. J. Sci. Comput. 68 (1) (2016)
Nishant Panda, Clint Dawson, Yao Zhang, Andrew B. Kennedy, Joannes J. Westerink, Aaron S. Donahue
Discontinuous Galerkin methods for solving Boussinesq-Green-Naghdi equations in resolving non-linear and dispersive surface water waves. J. Comput. Phys. 273 (2014)