636 citations · 7.8k across the 76 of their papers we have counts for
77 papers
Collapsible Linear Blocks for Super-Efficient Super Resolution
Kartikeya Bhardwaj, Milos Milosavljevic, Liam O'Neil +6
With the advent of smart devices that support 4K and 8K resolution, Single Image Super Resolution (SISR) has become an important computer vision problem. However, most super resolu…
Solving Irregular and Data-enriched Differential Equations using Deep Neural Networks
Craig Michoski, Milos Milosavljevic, Todd Oliver +1
Recent work has introduced a simple numerical method for solving partial differential equations (PDEs) with deep neural networks (DNNs). This paper reviews and extends the method w…
Constraining Cosmology with Big Data Statistics of Cosmological Graphs
Sungryong Hong, Donghui Jeong, Ho Seong Hwang +7
By utilizing large-scale graph analytic tools implemented in the modern Big Data platform, Apache Spark, we investigate the topological structure of gravitational clustering in fiv…
Blind nucleosynthetic source discovery in astronomical elemental abundance data
Milos Milosavljevic, Patrick D. Aleo, Natalie R. Hinkel +1
We demonstrate physics-blind and purely data-based nucleosynthetic archetype discovery from heterogeneous stellar elemental abundance measurements. Archetype extraction is performe…
Discrete diffusion Lyman-alpha radiative transfer
Aaron Smith, Benny T. -H. Tsang, Volker Bromm +1
Due to its accuracy and generality, Monte Carlo radiative transfer (MCRT) has emerged as the prevalent method for Ly radiative transfer in arbitrary geometries. The standard MCR…
Radiation pressure in super star cluster formation
Benny Tsz-Ho Tsang, Milos Milosavljevic
The physics of star formation at its extreme, in the nuclei of the densest and the most massive star clusters in the universe - potential massive black hole nurseries - has for dec…