Evan Bell
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View article: Learning robust parameter inference and density reconstruction in flyer plate impact experiments
Learning robust parameter inference and density reconstruction in flyer plate impact experiments Open
View article: PRISM: Probabilistic and Robust Inverse Solver with Measurement-Conditioned Diffusion Prior for Blind Inverse Problems
PRISM: Probabilistic and Robust Inverse Solver with Measurement-Conditioned Diffusion Prior for Blind Inverse Problems Open
Diffusion models are now commonly used to solve inverse problems in computational imaging. However, most diffusion-based inverse solvers require complete knowledge of the forward operator to be used. In this work, we introduce a novel prob…
View article: Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions
Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions Open
View article: Learning robust parameter inference and density reconstruction in flyer plate impact experiments
Learning robust parameter inference and density reconstruction in flyer plate impact experiments Open
Estimating physical parameters or material properties from experimental observations is a common objective in many areas of physics and material science. In many experiments, especially in shock physics, radiography is the primary means of…
View article: Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory
Understanding Untrained Deep Models for Inverse Problems: Algorithms and Theory Open
In recent years, deep learning methods have been extensively developed for inverse imaging problems (IIPs), encompassing supervised, self-supervised, and generative approaches. Most of these methods require large amounts of labeled or unla…
View article: Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions
Physics consistent machine learning framework for inverse modeling with applications to ICF capsule implosions Open
In high energy density physics (HEDP) and inertial confinement fusion (ICF), predictive modeling is complicated by uncertainty in parameters that characterize various aspects of the modeled system, such as those characterizing material pro…
View article: Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization Open
Deep learning methods are highly effective for many image reconstruction tasks. However, the performance of supervised learned models can degrade when applied to distinct experimental settings at test time or in the presence of distributio…
View article: Supervised Reconstruction for Silhouette Tomography
Supervised Reconstruction for Silhouette Tomography Open
In this paper, we introduce silhouette tomography, a novel formulation of X-ray computed tomography that relies only on the geometry of the imaging system. We formulate silhouette tomography mathematically and provide a simple method for o…
View article: Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction
Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction Open
The ability of deep image prior (DIP) to recover high-quality images from incomplete or corrupted measurements has made it popular in inverse problems in image restoration and medical imaging including magnetic resonance imaging (MRI). How…
View article: Supervised Reconstruction for Silhouette Tomography
Supervised Reconstruction for Silhouette Tomography Open
In this paper, we introduce silhouette tomography, a novel formulation of X-ray computed tomography that relies only on the geometry of the imaging system. We formulate silhouette tomography mathematically and provide a simple method for o…
View article: Correction: Development of the Advanced Regolith Ground Operations (ARGO) Test Bed – A Robotic Excavation and Construction Test Facility with Simulated Lunar Environments
Correction: Development of the Advanced Regolith Ground Operations (ARGO) Test Bed – A Robotic Excavation and Construction Test Facility with Simulated Lunar Environments Open
On page 10 of the paper, under VI. A. Universal Build Plate: Dimensions of the cast aluminum block were miss written as 30 mm x 30 mm x12.25 mm (1.18 in.x 1.18 in.x 0.5 in.
View article: Pioneering the Approach to Understand a Trash-to-Gas Experiment in a Microgravity Environment
Pioneering the Approach to Understand a Trash-to-Gas Experiment in a Microgravity Environment Open
The Orbital Syngas/Commodity Augmentation Reactor (OSCAR) project investigated hardware and engineering development for waste conversion operations related to trash deconstruction and repurposing for long duration space missions. Operation…
View article: Pathways Intern Report
Pathways Intern Report Open
During my time at NASA, I worked with the Granular Mechanics and Regolith Organization (GMRO), better known as Swamp Works. The goal of the lab is to find ways to utilize resources found after the astronaut or robot has landed on another p…