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2020 – today
- 2024
[j13]Saeed Moazami
, Deep Ray, Daniel Pelletier, Assad A. Oberai:
Probabilistic Brain Extraction in MR Images via Conditional Generative Adversarial Networks. IEEE Trans. Medical Imaging 43(3): 1071-1088 (2024)- [i15]Philip Charles, Deep Ray:
Learning WENO for entropy stable schemes to solve conservation laws. CoRR abs/2403.14848 (2024) - 2023
- [i14]Deep Ray, Orazio Pinti, Assad A. Oberai:
Deep Learning and Computational Physics (Lecture Notes). CoRR abs/2301.00942 (2023) - [i13]Deep Ray, Javier Murgoitio-Esandi, Agnimitra Dasgupta, Assad A. Oberai:
Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty. CoRR abs/2306.04895 (2023) - [i12]Deep Ray, Souvik Roy:
Learning end-to-end inversion of circular Radon transforms in the partial radial setup. CoRR abs/2308.14144 (2023) - [i11]Bryan Shaddy, Deep Ray, Angel Farguell, Valentina Calaza, Jan Mandel, James Haley, Kyle Hilburn, Derek V. Mallia, Adam K. Kochanski, Assad A. Oberai:
Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts. CoRR abs/2309.02615 (2023) - [i10]Agnimitra Dasgupta, Dhruv V. Patel, Deep Ray, Erik A. Johnson, Assad A. Oberai:
A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows. CoRR abs/2310.04690 (2023) - 2022
- [j12]Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino A. Varghese, Darryl Hwang, Inderbir S. Gill, Vinay A. Duddalwar, Assad A. Oberai:
Probabilistic medical image imputation via deep adversarial learning. Eng. Comput. 38(5): 3975-3986 (2022) - [j11]Chen Liu, Deep Ray, Christopher Thiele, Lu Lin, Beatrice Riviere:
A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows. J. Comput. Phys. 449: 110769 (2022) - [i9]Deep Ray, Harisankar Ramaswamy, Dhruv V. Patel, Assad A. Oberai:
The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems. CoRR abs/2202.07773 (2022) - [i8]Dhruv Patel, Deep Ray, Michael R. A. Abdelmalik, Thomas J. R. Hughes, Assad A. Oberai:
Variationally Mimetic Operator Networks. CoRR abs/2209.12871 (2022) - 2021
- [j10]Lukas Schwander, Deep Ray, Jan S. Hesthaven:
Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks. J. Comput. Phys. 431: 110144 (2021) - [j9]Ujjwal Koley, Deep Ray, Tanmay Sarkar:
Multilevel Monte Carlo Finite Difference Methods for Fractional Conservation Laws with Random Data. SIAM/ASA J. Uncertain. Quantification 9(1): 65-105 (2021) - [i7]Dhruv V. Patel, Deep Ray, Assad A. Oberai:
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors. CoRR abs/2107.02926 (2021) - 2020
- [j8]Niccolò Discacciati, Jan S. Hesthaven, Deep Ray:
Controlling oscillations in high-order Discontinuous Galerkin schemes using artificial viscosity tuned by neural networks. J. Comput. Phys. 409: 109304 (2020) - [j7]Jim Magiera, Deep Ray, Jan S. Hesthaven, Christian Rohde:
Constraint-aware neural networks for Riemann problems. J. Comput. Phys. 409: 109345 (2020) - [j6]Kjetil O. Lye, Siddhartha Mishra, Deep Ray:
Deep learning observables in computational fluid dynamics. J. Comput. Phys. 410: 109339 (2020) - [i6]Kjetil O. Lye, Siddhartha Mishra, Deep Ray, Praveen Chandrasekhar:
Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks. CoRR abs/2008.05730 (2020) - [i5]Ujjwal Koley, Deep Ray, Tanmay Sarkar:
Multi-level Monte Carlo Finite Difference Methods for Fractional Conservation Laws with Random Data. CoRR abs/2010.00537 (2020) - [i4]Deep Ray, Chen Liu, Beatrice Riviere:
A discontinuous Galerkin method for a diffuse-interface model of immiscible two-phase flows with soluble surfactant. CoRR abs/2010.01661 (2020) - [i3]Chen Liu, Deep Ray, Christopher Thiele, Lu Lin, Beatrice Riviere:
A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows. CoRR abs/2010.16044 (2020)
2010 – 2019
- 2019
- [j5]Qian Wang, Jan S. Hesthaven, Deep Ray:
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem. J. Comput. Phys. 384: 289-307 (2019) - [j4]Deep Ray, Jan S. Hesthaven:
Detecting troubled-cells on two-dimensional unstructured grids using a neural network. J. Comput. Phys. 397 (2019) - [i2]Kjetil O. Lye, Siddhartha Mishra, Deep Ray:
Deep learning observables in computational fluid dynamics. CoRR abs/1903.03040 (2019) - [i1]Tim De Ryck, Siddhartha Mishra, Deep Ray:
On the approximation of rough functions with deep neural networks. CoRR abs/1912.06732 (2019) - 2018
- [j3]Deep Ray, Jan S. Hesthaven:
An artificial neural network as a troubled-cell indicator. J. Comput. Phys. 367: 166-191 (2018) - 2017
- [j2]Deep Ray, Praveen Chandrashekar:
An entropy stable finite volume scheme for the two dimensional Navier-Stokes equations on triangular grids. Appl. Math. Comput. 314: 257-286 (2017) - 2016
- [j1]Ulrik S. Fjordholm, Deep Ray:
A Sign Preserving WENO Reconstruction Method. J. Sci. Comput. 68(1): 42-63 (2016)
Coauthor Index
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last updated on 2024-08-05 20:21 CEST by the dblp team
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