Deep Ray

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 28

Top Topics

Intracranial Aneurysms

Top Venues

J. Comput. Phys.

SIAM/ASA J. Uncertain. Quantification

Publications

Philip Charles, Deep Ray
Learning WENO for entropy stable schemes to solve conservation laws. CoRR (2024)
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) (2024)
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 (2023)
Deep Ray, Orazio Pinti, Assad A. Oberai
Deep Learning and Computational Physics (Lecture Notes). CoRR (2023)
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 (2023)
Deep Ray, Souvik Roy
Learning end-to-end inversion of circular Radon transforms in the partial radial setup. CoRR (2023)
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 (2023)
Dhruv Patel, Deep Ray, Michael R. A. Abdelmalik, Thomas J. R. Hughes, Assad A. Oberai
Variationally Mimetic Operator Networks. CoRR (2022)
Ragheb Raad, Dhruv Patel, Chiao-Chih Hsu, Vijay Kothapalli, Deep Ray, Bino A. Varghese, Darryl Hwang, Inderbir Gill, Vinay A. Duddalwar, Assad A. Oberai
Probabilistic medical image imputation via deep adversarial learning. Eng. Comput. 38 (5) (2022)
Chen Liu, Deep Ray, Christopher Thiele, Lu Lin, Béatrice Rivière
A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows. J. Comput. Phys. 449 (2022)
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 (2022)
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) (2021)
Dhruv V. Patel, Deep Ray, Assad A. Oberai
Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors. CoRR (2021)
Lukas Schwander, Deep Ray, Jan S. Hesthaven
Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks. J. Comput. Phys. 431 (2021)
Kjetil O. Lye, Siddhartha Mishra, Deep Ray
Deep learning observables in computational fluid dynamics. J. Comput. Phys. 410 (2020)
Deep Ray, Chen Liu, Béatrice Rivière
A discontinuous Galerkin method for a diffuse-interface model of immiscible two-phase flows with soluble surfactant. CoRR (2020)
Jim Magiera, Deep Ray, Jan S. Hesthaven, Christian Rohde
Constraint-aware neural networks for Riemann problems. J. Comput. Phys. 409 (2020)
Chen Liu, Deep Ray, Christopher Thiele, Lu Lin, Béatrice Rivière
A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows. CoRR (2020)
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 (2020)
Ujjwal Koley, Deep Ray, Tanmay Sarkar
Multi-level Monte Carlo Finite Difference Methods for Fractional Conservation Laws with Random Data. CoRR (2020)
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 (2020)
Kjetil O. Lye, Siddhartha Mishra, Deep Ray
Deep learning observables in computational fluid dynamics. CoRR (2019)
Tim De Ryck, Siddhartha Mishra, Deep Ray
On the approximation of rough functions with deep neural networks. CoRR (2019)
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 (2019)
Deep Ray, Jan S. Hesthaven
Detecting troubled-cells on two-dimensional unstructured grids using a neural network. J. Comput. Phys. 397 (2019)
Deep Ray, Jan S. Hesthaven
An artificial neural network as a troubled-cell indicator. J. Comput. Phys. 367 (2018)
Deep Ray, Praveen Chandrashekar
An entropy stable finite volume scheme for the two dimensional Navier-Stokes equations on triangular grids. Appl. Math. Comput. 314 (2017)
Ulrik S. Fjordholm, Deep Ray
A Sign Preserving WENO Reconstruction Method. J. Sci. Comput. 68 (1) (2016)