Marc Louis Klasky

32 papers A* 3B 1Misc 1Journal 22Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ECLEIRS: Exact conservation law embedded identification of reduced states for parameterized nonlinear conservation laws from sparse and noisy data. J. Comput. Phys. Aviral Prakash, Ben S. Southworth, Marc Louis Klasky
2026	J	`jnl`	Material Identification using Multi-Modal Intrinsic Radiation and Radiography. CoRR Khoa Nguyen, Brendt Wohlberg, Oleg Korobkin, Marc Louis Klasky
2025	J	`jnl`	Causal Multi-fidelity Surrogate Forward and Inverse Models for ICF Implosions. CoRR Tyler E. Maltba, Ben S. Southworth, Jeffrey R. Haack, Marc Louis Klasky
2025	J	`jnl`	Learning robust parameter inference and density reconstruction in flyer plate impact experiments. CoRR Evan Bell, Daniel A. Serino, Ben S. Southworth, Trevor Wilcox, Marc Louis Klasky
2025	—	`conf`	RSR-NF: Neural Field Regularization by Static Restoration Priors for Computed Dynamic Imaging. MLSP Berk Iskender, Yoram Bresler, Sushan Nakarmi, Nitin Daphalapurkar, Marc Louis Klasky
2025	J	`jnl`	RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging. CoRR Berk Iskender, Sushan Nakarmi, Nitin Daphalapurkar, Marc Louis Klasky, Yoram Bresler
2025	J	`jnl`	Revealing Low-Dimensional Structure in 2D Richtmyer-Meshkov Instabilities via Parametric Reduced-Order Modeling. CoRR Daniel Messenger, Daniel A. Serino, Balu Nadiga, Marc Louis Klasky
2025	J	`jnl`	Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction to ICF Applications. IEEE Trans. Computational Imaging Xiaojian Xu, Marc Louis Klasky, Michael T. McCann, Jason Hu, Jeffrey A. Fessler
2024	J	`jnl`	Learning physical unknowns from hydrodynamic shock and material interface features in ICF capsule implosions. CoRR Daniel A. Serino, Evan Bell, Marc Louis Klasky, Ben S. Southworth, Balasubramanya T. Nadiga, Trevor Wilcox, Oleg Korobkin
2024	J	`jnl`	RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging. IEEE Trans. Computational Imaging Berk Iskender, Marc Louis Klasky, Yoram Bresler
2024	J	`jnl`	Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks. CoRR Daniel A. Serino, Marc Louis Klasky, Balasubramanya T. Nadiga, Xiaojian Xu, Trevor Wilcox
2024	J	`jnl`	Supervised Reconstruction for Silhouette Tomography. CoRR Evan Bell, Michael T. McCann, Marc Louis Klasky
2024	J	`jnl`	Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction. CoRR Xiaojian Xu, Marc Louis Klasky, Michael T. McCann, Jason Hu, Jeffrey A. Fessler
2023	A*	`conf`	Diffusion Posterior Sampling for General Noisy Inverse Problems. ICLR Hyungjin Chung, Jeongsol Kim, Michael Thompson McCann, Marc Louis Klasky, Jong Chul Ye
2023	—	`conf`	Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior. CAMSAP Berk Iskender, Marc Louis Klasky, Yoram Bresler
2023	Misc	`conf`	Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography. ICASSP Berk Iskender, Marc Louis Klasky, Brian M. Patterson, Yoram Bresler
2023	J	`jnl`	Machine Learning technique for isotopic determination of radioisotopes using HPGe γ-ray spectra. CoRR Ajeeta Khatiwada, Marc Louis Klasky, Marcie Lombardi, Jason Matheny, Arvind Mohan
2023	J	`jnl`	Material Identification From Radiographs Without Energy Resolution. IEEE Trans. Computational Imaging Michael T. McCann, Elena Guardincerri, Samuel M. Gonzales, Lauren A. Misurek, Jennifer L. Schei, Marc Louis Klasky
2023	A*	`conf`	RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. ICCV Berk Iskender, Marc Louis Klasky, Yoram Bresler
2023	J	`jnl`	RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. CoRR Berk Iskender, Marc Louis Klasky, Yoram Bresler
2023	B	`conf`	Score-Based Diffusion Models for Bayesian Image Reconstruction. ICIP Michael T. McCann, Hyungjin Chung, Jong Chul Ye, Marc Louis Klasky
2023	A*	`conf`	Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models. CVPR Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2023	J	`jnl`	Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data. IEEE Trans. Computational Imaging Anish Lahiri, Gabriel Maliakal, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
2022	J	`jnl`	Diffusion Posterior Sampling for General Noisy Inverse Problems. CoRR Hyungjin Chung, Jeongsol Kim, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2022	—	`conf`	Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling. IVMSP Berk Iskender, Yoram Bresler, Marc Louis Klasky
2022	—	`ed.`	Machine Learning for Scientific Imaging 2022, online, January 15-26, 2022 Machine Learning for Scientific Imaging Marc Louis Klasky, Jong Chul Ye
2022	J	`jnl`	Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models. CoRR Hyungjin Chung, Dohoon Ryu, Michael T. McCann, Marc Louis Klasky, Jong Chul Ye
2022	J	`jnl`	Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data. CoRR Anish Lahiri, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
2021	J	`jnl`	High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features. CoRR Maliha Hossain, Balasubramanya T. Nadiga, Oleg Korobkin, Marc Louis Klasky, Jennifer L. Schei, Joshua W. Burby, Michael T. McCann, Trevor Wilcox, Soumi De, Charles A. Bouman
2021	J	`jnl`	Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. CoRR Zhishen Huang, Marc Louis Klasky, Trevor Wilcox, Saiprasad Ravishankar
2020	—	`conf`	Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. ISBI Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg
2019	J	`jnl`	Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. CoRR Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg