Deep Ray - RankMe

31 papers Journal 31

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An optimal Petrov-Galerkin framework for operator networks. CoRR Philip Charles, Deep Ray, Yue Yu, Joost Prins, Hugo Melchers, Michael R. A. Abdelmalik, Jeffrey Cochran, Assad A. Oberai, Thomas J. R. Hughes, Mats G. Larson
2025	J	`jnl`	Compositional Generation for Long-Horizon Coupled PDEs. CoRR Somayajulu L. N. Dhulipala, Deep Ray, Nicholas Forman
2025	J	`jnl`	Learning WENO for Entropy Stable Schemes to Solve Conservation Laws. SIAM J. Sci. Comput. Philip Charles, Deep Ray
2024	J	`jnl`	Learning WENO for entropy stable schemes to solve conservation laws. CoRR Philip Charles, Deep Ray
2024	J	`jnl`	Probabilistic Brain Extraction in MR Images via Conditional Generative Adversarial Networks. IEEE Trans. Medical Imaging Saeed Moazami, Deep Ray, Daniel Pelletier, Assad A. Oberai
2023	J	`jnl`	A dimension-reduced variational approach for solving physics-based inverse problems using generative adversarial network priors and normalizing flows. CoRR Agnimitra Dasgupta, Dhruv V. Patel, Deep Ray, Erik A. Johnson, Assad A. Oberai
2023	J	`jnl`	Deep Learning and Computational Physics (Lecture Notes). CoRR Deep Ray, Orazio Pinti, Assad A. Oberai
2023	J	`jnl`	Generative Algorithms for Fusion of Physics-Based Wildfire Spread Models with Satellite Data for Initializing Wildfire Forecasts. CoRR Bryan Shaddy, Deep Ray, Angel Farguell, Valentina Calaza, Jan Mandel, James Haley, Kyle Hilburn, Derek V. Mallia, Adam K. Kochanski, Assad A. Oberai
2023	J	`jnl`	Learning end-to-end inversion of circular Radon transforms in the partial radial setup. CoRR Deep Ray, Souvik Roy
2023	J	`jnl`	Solution of physics-based inverse problems using conditional generative adversarial networks with full gradient penalty. CoRR Deep Ray, Javier Murgoitio-Esandi, Agnimitra Dasgupta, Assad A. Oberai
2022	J	`jnl`	A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows. J. Comput. Phys. Chen Liu, Deep Ray, Christopher Thiele, Lu Lin, Beatrice Riviere
2022	J	`jnl`	Probabilistic medical image imputation via deep adversarial learning. Eng. Comput. 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
2022	J	`jnl`	The efficacy and generalizability of conditional GANs for posterior inference in physics-based inverse problems. CoRR Deep Ray, Harisankar Ramaswamy, Dhruv V. Patel, Assad A. Oberai
2022	J	`jnl`	Variationally Mimetic Operator Networks. CoRR Dhruv Patel, Deep Ray, Michael R. A. Abdelmalik, Thomas J. R. Hughes, Assad A. Oberai
2021	J	`jnl`	Controlling oscillations in spectral methods by local artificial viscosity governed by neural networks. J. Comput. Phys. Lukas Schwander, Deep Ray, Jan S. Hesthaven
2021	J	`jnl`	Multilevel Monte Carlo Finite Difference Methods for Fractional Conservation Laws with Random Data. SIAM/ASA J. Uncertain. Quantification Ujjwal Koley, Deep Ray, Tanmay Sarkar
2021	J	`jnl`	Solution of Physics-based Bayesian Inverse Problems with Deep Generative Priors. CoRR Dhruv V. Patel, Deep Ray, Assad A. Oberai
2020	J	`jnl`	A discontinuous Galerkin method for a diffuse-interface model of immiscible two-phase flows with soluble surfactant. CoRR Deep Ray, Chen Liu, Beatrice Riviere
2020	J	`jnl`	A pressure-correction and bound-preserving discretization of the phase-field method for variable density two-phase flows. CoRR Chen Liu, Deep Ray, Christopher Thiele, Lu Lin, Beatrice Riviere
2020	J	`jnl`	Constraint-aware neural networks for Riemann problems. J. Comput. Phys. Jim Magiera, Deep Ray, Jan S. Hesthaven, Christian Rohde
2020	J	`jnl`	Controlling oscillations in high-order Discontinuous Galerkin schemes using artificial viscosity tuned by neural networks. J. Comput. Phys. Niccolò Discacciati, Jan S. Hesthaven, Deep Ray
2020	J	`jnl`	Deep learning observables in computational fluid dynamics. J. Comput. Phys. Kjetil O. Lye, Siddhartha Mishra, Deep Ray
2020	J	`jnl`	Iterative Surrogate Model Optimization (ISMO): An active learning algorithm for PDE constrained optimization with deep neural networks. CoRR Kjetil O. Lye, Siddhartha Mishra, Deep Ray, Praveen Chandrasekhar
2020	J	`jnl`	Multi-level Monte Carlo Finite Difference Methods for Fractional Conservation Laws with Random Data. CoRR Ujjwal Koley, Deep Ray, Tanmay Sarkar
2019	J	`jnl`	Deep learning observables in computational fluid dynamics. CoRR Kjetil O. Lye, Siddhartha Mishra, Deep Ray
2019	J	`jnl`	Detecting troubled-cells on two-dimensional unstructured grids using a neural network. J. Comput. Phys. Deep Ray, Jan S. Hesthaven
2019	J	`jnl`	Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem. J. Comput. Phys. Qian Wang, Jan S. Hesthaven, Deep Ray
2019	J	`jnl`	On the approximation of rough functions with deep neural networks. CoRR Tim De Ryck, Siddhartha Mishra, Deep Ray
2018	J	`jnl`	An artificial neural network as a troubled-cell indicator. J. Comput. Phys. Deep Ray, Jan S. Hesthaven
2017	J	`jnl`	An entropy stable finite volume scheme for the two dimensional Navier-Stokes equations on triangular grids. Appl. Math. Comput. Deep Ray, Praveen Chandrashekar
2016	J	`jnl`	A Sign Preserving WENO Reconstruction Method. J. Sci. Comput. Ulrik S. Fjordholm, Deep Ray