A Search for Temporal Atmospheric Variability of Kepler Hot Jupiters

Kavli Affiliate: Avi Shporer | First 5 Authors: Canis Li, Avi Shporer, , , | Summary: We perform a systematic search for atmospheric variability in short-period gas-giant planets (hot Jupiters) observed by the Kepler mission, by looking for temporal variability of their secondary eclipse depths. This is motivated by a recent detection of a decrease […]


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A Search for Temporal Atmospheric Variability of $textit{Kepler}$ Hot Jupiters

Kavli Affiliate: Avi Shporer | First 5 Authors: Canis Li, Avi Shporer, , , | Summary: We perform a systematic search for atmospheric variability in short-period gas-giant planets (hot Jupiters) observed by the Kepler mission, by looking for temporal variability of their secondary eclipse depths. This is motivated by a recent detection of a decrease […]


Continue.. A Search for Temporal Atmospheric Variability of $textit{Kepler}$ Hot Jupiters

Transfer Learning-Enhanced Instantaneous Multi-Person Indoor Localization by CSI

Kavli Affiliate: Yi Zhou | First 5 Authors: Zhiyuan He, Ke Deng, Jiangchao Gong, Yi Zhou, Desheng Wang | Summary: Passive indoor localization, integral to smart buildings, emergency response, and indoor navigation, has traditionally been limited by a focus on single-target localization and reliance on multi-packet CSI. We introduce a novel Multi-target loss, notably enhancing […]


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$Γ$-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data

Kavli Affiliate: Itai Cohen | First 5 Authors: Jason Z. Kim, Nicolas Perrin-Gilbert, Erkan Narmanli, Paul Klein, Christopher R. Myers | Summary: Natural systems with emergent behaviors often organize along low-dimensional subsets of high-dimensional spaces. For example, despite the tens of thousands of genes in the human genome, the principled study of genomics is fruitful […]


Continue.. $Γ$-VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data