1.9k citations · 17.1k across the 91 of their papers we have counts for
91 papers
A flexible Expectation-Maximization framework for fast, scalable and high-fidelity multi-frame astronomical image deconvolution
Yashil Sukurdeep, Fausto Navarro, Tamas Budavari
We present a computationally efficient expectation-maximization framework for multi-frame image deconvolution and super-resolution. Our method is well adapted for processing large…
Learning the Night Sky with Deep Generative Priors
Fausto Navarro, Daniel Hall, Tamas Budavari +1
Recovering sharper images from blurred observations, referred to as deconvolution, is an ill-posed problem where classical approaches often produce unsatisfactory results. In groun…
Globally optimal and scalable -way matching of astronomy catalogs
Tu Nguyen, Amitabh Basu, Támas Budavári
Building on previous Bayesian approaches, we introduce a novel formulation of probabilistic cross-identification, where detections are directly associated to (hypothesized) astrono…
GPU-Accelerated Hierarchical Bayesian Inference with Application to Modeling Cosmic Populations: CUDAHM
János M. Szalai-Gindl, Thomas J. Loredo, Brandon C. Kelly +3
We describe a computational framework for hierarchical Bayesian inference with simple (typically single-plate) parametric graphical models that uses graphics processing units (GPUs…
Wireless sensor network for in situ soil moisture monitoring
Jianing Fang, Chuheng Hu, Nour Smaoui +10
We discuss the history and lessons learned from a series of deployments of environmental sensors measuring soil parameters and CO2 fluxes over the last fifteen years, in an outdoor…
The Hubble Catalog of Variables (HCV)
A. Z. Bonanos, M. Yang, K. V. Sokolovsky +33
The Hubble Space Telescope (HST) has obtained multi-epoch observations providing the opportunity for a comprehensive variability search aiming to uncover new variables. We have the…