Assad A. Oberai

42 papers Journal 40Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Closed-form conditional diffusion models for data assimilation. CoRR Brianna Binder, Agnimitra Dasgupta, Assad A. Oberai
2026	J	`jnl`	Probabilistic Forecasting of Localized Wildfire Spread Based on Conditional Flow Matching. CoRR Bryan Shaddy, Haitong Qin, Brianna Binder, James Haley, Riya Duddalwar, Kyle Hilburn, Assad A. Oberai
2026	J	`jnl`	Solving physics-constrained inverse problems with conditional flow matching. CoRR Agnimitra Dasgupta, Ali Fardisi, Mehrnegar Aminy, Brianna Binder, Bryan Shaddy, Assad A. Oberai
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`	Generative Algorithms for Wildfire Progression Reconstruction from Multi-Modal Satellite Active Fire Measurements and Terrain Height. CoRR Bryan Shaddy, Brianna Binder, Agnimitra Dasgupta, Haitong Qin, James Haley, Angel Farguell, Kyle Hilburn, Derek V. Mallia, Adam K. Kochanski, Jan Mandel, Assad A. Oberai
2025	J	`jnl`	Memorization and Regularization in Generative Diffusion Models. CoRR Ricardo Baptista, Agnimitra Dasgupta, Nikola B. Kovachki, Assad A. Oberai, Andrew M. Stuart
2025	J	`jnl`	Time-dependent density estimation using binary classifiers. CoRR Agnimitra Dasgupta, Javier Murgoitio-Esandi, Ali Fardisi, Assad A. Oberai
2025	J	`jnl`	Unifying and extending Diffusion Models through PDEs for solving Inverse Problems. CoRR Agnimitra Dasgupta, Alexsander Marciano da Cunha, Ali Fardisi, Mehrnegar Aminy, Brianna Binder, Bryan Shaddy, Assad A. Oberai
2024	J	`jnl`	A Force-Matched Approach to Large-Strain Nonlinearity in Elasticity Imaging for Breast Lesion Characterization. IEEE Trans. Biomed. Eng. David P. Rosen, Rohit Nayak, Yuqi Wang, Daniel I. Gendin, Nicholas B. Larson, Robert T. Fazzio, Assad A. Oberai, Timothy J. Hall, Paul E. Barbone, Azra Alizad, Mostafa Fatemi
2024	J	`jnl`	Conditional score-based diffusion models for solving inverse problems in mechanics. CoRR Agnimitra Dasgupta, Harisankar Ramaswamy, Javier Murgoitio-Esandi, Ken Y. Foo, Runze Li, Qifa Zhou, Brendan F. Kennedy, Assad A. Oberai
2024	J	`jnl`	Diffusion Models for Generating Ballistic Spacecraft Trajectories. CoRR Tyler Presser, Agnimitra Dasgupta, Daniel Erwin, Assad A. Oberai
2024	J	`jnl`	Graph Laplacian-based Bayesian Multi-fidelity Modeling. CoRR Orazio Pinti, Jeremy M. Budd, Franca Hoffmann, Assad A. Oberai
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
2024	J	`jnl`	Tumor spheroid elasticity estimation using mechano-microscopy combined with a conditional generative adversarial network. Comput. Methods Programs Biomed. Ken Y. Foo, Bryan Shaddy, Javier Murgoitio-Esandi, Matt S. Hepburn, Jiayue Li, Alireza Mowla, Rowan W. Sanderson, Danielle Vahala, Sebastian E. Amos, Yu Suk Choi, Assad A. Oberai, Brendan F. Kennedy
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`	A few-shot graph Laplacian-based approach for improving the accuracy of low-fidelity data. CoRR Orazio Pinti, Assad A. Oberai
2023	J	`jnl`	Building a Fuel Moisture Model for the Coupled Fire-Atmosphere Model WRF-SFIRE from Data: From Kalman Filters to Recurrent Neural Networks. CoRR Jan Mandel, J. Hirschi, Adam K. Kochanski, Angel Farguell, James Haley, Derek V. Mallia, Bryan Shaddy, Assad A. Oberai, Kyle A. Hilburn
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`	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 parallel interface tracking approach for evolving geometry problems. Eng. Comput. Fan Yang, Anirban Chandra, Yu Zhang, Saurabh Tendulkar, Rocco Nastasia, Assad A. Oberai, Mark S. Shephard, Onkar Sahni
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`	Benchmarking Various Radiomic Toolkit Features While Applying the Image Biomarker Standardization Initiative toward Clinical Translation of Radiomic Analysis. J. Digit. Imaging Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Desai Bhushan, Afshin Azadikhah, Assad A. Oberai, Vinay A. Duddalwar
2021	J	`jnl`	GAN-Based Priors for Quantifying Uncertainty in Supervised Learning. SIAM/ASA J. Uncertain. Quantification Dhruv V. Patel, Assad A. Oberai
2021	J	`jnl`	Repeatability of Linear and Nonlinear Elastic Modulus Maps From Repeat Scans in the Breast. IEEE Trans. Medical Imaging Daniel I. Gendin, Rohit Nayak, Yuqi Wang, Mahdi Bayat, Robert T. Fazzio, Assad A. Oberai, Timothy J. Hall, Paul E. Barbone, Azra Alizad, Mostafa Fatemi
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`	An automated approach for parallel adjoint-based error estimation and mesh adaptation. Eng. Comput. Brian Granzow, Assad A. Oberai, Mark S. Shephard
2020	J	`jnl`	Benchmarking features from different radiomics toolkits / toolboxes using Image Biomarkers Standardization Initiative. CoRR Mingxi Lei, Bino A. Varghese, Darryl Hwang, Steven Y. Cen, Xiaomeng Lei, Afshin Azadikhah, Desai Bhushan, Assad A. Oberai, Vinay A. Duddalwar
2020	J	`jnl`	GAN-based Priors for Quantifying Uncertainty. CoRR Dhruv V. Patel, Assad A. Oberai
2020	J	`jnl`	Residual-based stabilized formulation for the solution of inverse elliptic partial differential equations. Comput. Math. Appl. Mohit Tyagi, Paul E. Barbone, Assad A. Oberai
2019	J	`jnl`	A locally discontinuous ALE finite element formulation for compressible phase change problems. J. Comput. Phys. Yu Zhang, Anirban Chandra, Fan Yang, Ehsan Shams, Onkar Sahni, Mark S. Shephard, Assad A. Oberai
2019	J	`jnl`	Bayesian Inference with Generative Adversarial Network Priors. CoRR Dhruv Patel, Assad A. Oberai
2017	J	`jnl`	Component-based workflows for parallel thermomechanical analysis of arrayed geometries. Eng. Comput. Max O. Bloomfield, Zhen Li, Brian Granzow, Daniel Ibanez, Assad A. Oberai, Glen Hansen, Xiao Hu Liu, Mark S. Shephard
2015	J	`jnl`	A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics. J. Comput. Phys. David Sondak, John N. Shadid, Assad A. Oberai, Roger P. Pawlowski, Eric C. Cyr, Thomas M. Smith
2015	—	`conf`	Bring the NLACE model online using XSEDE and HUBzero. XSEDE Christopher S. Thompson, Lan Zhao, Steven M. Clark, Paul E. Barbone, Assad A. Oberai, Carol X. Song, D. Thomas Seidl, Tengxiao Liu
2014	J	`jnl`	Variational Multiscale Analysis: The Fine-Scale Green's Function for Stochastic Partial Differential Equations. SIAM/ASA J. Uncertain. Quantification Jayanth Jagalur-Mohan, Onkar Sahni, Alireza Doostan, Assad A. Oberai
2013	J	`jnl`	A Galerkin least squares method for time harmonic Maxwell equations using Nédélec elements. J. Comput. Phys. Jayanth Jagalur-Mohan, G. Feijóo, Assad A. Oberai
2013	J	`jnl`	Adjoint consistency analysis of residual-based variational multiscale methods. J. Comput. Phys. Jason E. Hicken, J. Li, Onkar Sahni, Assad A. Oberai
2012	J	`jnl`	Linear and Nonlinear Elastic Modulus Imaging: An Application to Breast Cancer Diagnosis. IEEE Trans. Medical Imaging Sevan Goenezen, Jean-Francois Dord, Zac Sink, Paul E. Barbone, Jingfeng Jiang, Timothy J. Hall, Assad A. Oberai
2004	—	`conf`	Simultaneous Elastic Image Registration and Elastic Modulus Reconstruction. ISBI Paul E. Barbone, Nachiket Gokhale, Michael S. Richards, Assad A. Oberai, Marvin M. Doyley