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2020 – today
- 2024
[j5]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: 646-651 (2024)- [c4]Yifeng Tian, Nishant Panda, Yen Ting Lin:
Liouville Flow Importance Sampler. ICML 2024 - [i9]Yifeng Tian, Nishant Panda, Yen Ting Lin:
Liouville Flow Importance Sampler. CoRR abs/2405.06672 (2024) - 2023
- [c3]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: 1975-1982 - [i8]Nishant Panda, Natalie Klein, Dominic Yang, Patrick Gasda, Diane Oyen:
Semi-supervised Learning of Pushforwards For Domain Translation & Adaptation. CoRR abs/2304.08673 (2023) - [i7]Shriram Srinivasan, Nishant Panda, Kaarthik Sundar:
On the Existence of Steady-State Solutions to the Equations Governing Fluid Flow in Networks. CoRR abs/2309.04494 (2023) - 2022
- [i6]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 abs/2202.07798 (2022) - [i5]Natalie Klein, Nishant Panda, Patrick Gasda, Diane Oyen:
Generative structured normalizing flow Gaussian processes applied to spectroscopic data. CoRR abs/2212.07554 (2022) - 2021
- [c2]Divya Banesh, Nishant Panda, Ayan Biswas, Luke Van Roekel, Diane Oyen, Nathan M. 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: 3731-3739 - [i4]Katiana Kontolati, Natalie Klein, Nishant Panda, Diane Oyen:
Neural density estimation and uncertainty quantification for laser induced breakdown spectroscopy spectra. CoRR abs/2108.08709 (2021) - 2020
- [j4]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: 109719 (2020) - [j3]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): 573-600 (2020) - [c1]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 - [i3]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 abs/2011.10227 (2020)
2010 – 2019
- 2019
- [i2]Shriram Srinivasan, Nishant Panda:
What is the gradient of a scalar function of a symmetric matrix ? CoRR abs/1911.06491 (2019) - 2018
- [i1]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 abs/1807.11537 (2018) - 2016
- [j2]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): 191-212 (2016) - 2014
- [j1]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: 572-588 (2014)
Coauthor Index
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