activity
20182026
most citedDeep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey

47 citations · 102 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2026

The embodied brain: Bridging the brain, body, and behavior with biorealistic neuromechanical models

Sibo Wang-Chen, Pavan Ramdya

Animal behavior reflects interactions between the nervous system, body, and environment. Therefore, biomechanics and environmental context must be considered to understand algorith…

q-bio.NC2025

Musculoskeletal simulation of limb movement biomechanics in Drosophila melanogaster

Pembe Gizem Özdil, Chuanfang Ning, Jasper S. Phelps +5

Computational models are critical to advance our understanding of how neural, biomechanical, and physical systems interact to orchestrate animal behaviors. Despite the availability…

cs.CV2019★ 17 cited

DeepMask: an algorithm for cloud and cloud shadow detection in optical satellite remote sensing images using deep residual network

Ke Xu, Kaiyu Guan, Jian Peng +2

Detecting and masking cloud and cloud shadow from satellite remote sensing images is a pervasive problem in the remote sensing community. Accurate and efficient detection of cloud…

astro-ph.IM2018★ 47 cited

Deep Learning at Scale for the Construction of Galaxy Catalogs in the Dark Energy Survey

Asad Khan, E. A. Huerta, Sibo Wang +3

The scale of ongoing and future electromagnetic surveys pose formidable challenges to classify astronomical objects. Pioneering efforts on this front include citizen science campai…

gr-qc2018★ 38 cited

Fusing numerical relativity and deep learning to detect higher-order multipole waveforms from eccentric binary black hole mergers

Adam Rebei, E. A. Huerta, Sibo Wang +4

We determine the mass-ratio, eccentricity and binary inclination angles that maximize the contribution of the higher-order waveform multipoles $(\ell, \, |m|)= \{(2,\,2),\, (2,\,1)…