75 citations · 120 across the 9 of their papers we have counts for
9 papers
Wasserstein Geodesic Generator for Conditional Distributions
Young-geun Kim, Kyungbok Lee, Youngwon Choi +2
Generating samples given a specific label requires estimating conditional distributions. We derive a tractable upper bound of the Wasserstein distance between conditional distribut…
Simulation of Classical Axion Electrodynamics using COMSOL Multiphysics
Junu Jeong, Younggeun Kim, Sungjae Bae +1
The axion is a hypothetical particle motivated to address the strong CP problem, and is one of the appealing dark matter candidates. Numerous experimental searches for dark matter…
Search for the Sagittarius Tidal Stream of Axion Dark Matter around 4.55 eV
Andrew K. Yi, Saebyeok Ahn, Çağlar Kutlu +29
We report the first search for the Sagittarius tidal stream of axion dark matter around 4.55 eV using CAPP-12TB haloscope data acquired in March of 2022. Our result excluded the…
Axion Dark Matter Search around 4.55 eV with Dine-Fischler-Srednicki-Zhitnitskii Sensitivity
Andrew K. Yi, Saebyeok Ahn, Çağlar Kutlu +29
We report an axion dark matter search at Dine-Fischler-Srednicki-Zhitnitskii sensitivity with the CAPP-12TB haloscope, assuming axions contribute 100\% of the local dark matter den…
Quintessential Axions from a New Confining Force
Jihn E. Kim, Younggeun Kim, Soonkeon Nam
Almost massless mesons created at the condensation scale of extra nonabelian gauge group can be candidates of dark energy source. This can be another motivation for introducing an…
Covariate-informed Representation Learning to Prevent Posterior Collapse of iVAE
Young-geun Kim, Ying Liu, Xuexin Wei
The recently proposed identifiable variational autoencoder (iVAE) framework provides a promising approach for learning latent independent components (ICs). iVAEs use auxiliary cova…
Analytical considerations for optimal axion haloscope design
Junu Jeong, SungWoo Youn, Sungjae Bae +3
The cavity haloscope provides a highly sensitive method to search for dark matter axions in the microwave regime. Experimental attempts to enhance the sensitivity have focused on i…
Kernel-convoluted Deep Neural Networks with Data Augmentation
Minjin Kim, Young-geun Kim, Dongha Kim +2
The Mixup method (Zhang et al. 2018), which uses linearly interpolated data, has emerged as an effective data augmentation tool to improve generalization performance and the robust…
Axion Dark Matter Research with IBS/CAPP
Yannis K. Semertzidis, Jihn E. Kim, SungWoo Youn +34
The axion, a consequence of the PQ mechanism, has been considered as the most elegant solution to the strong-CP problem and a compelling candidate for cold dark matter. The Center…