Few-shot Image Generation via Masked Discrimination

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Few-shot image generation aims to generate images of high quality and great diversity with limited data. However, it is difficult for modern GANs to avoid overfitting when trained on only a few images. The discriminator can easily […]


Continue.. Few-shot Image Generation via Masked Discrimination

Few-shot Image Generation via Masked Discrimination

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Jingyuan Zhu, Huimin Ma, Jiansheng Chen, Jian Yuan, | Summary: Few-shot image generation aims to generate images of high quality and great diversity with limited data. However, it is difficult for modern GANs to avoid overfitting when trained on only a few images. The discriminator can easily […]


Continue.. Few-shot Image Generation via Masked Discrimination

ELVES III: Environmental Quenching by Milky Way-Mass Hosts

Jenny E. Greene, Shany Danieli, Scott Carlsten, Rachael Beaton, Fangzhou Jiang | Summary: [[{“value”:”Isolated dwarf galaxies usually exhibit robust star formation but satellite dwarf galaxies are often devoid of young stars, even in Milky Way-mass groups. Dwarf galaxies thus offer an important laboratory of the environmental processes that cease star formation. We explore the balance […]


Continue.. ELVES III: Environmental Quenching by Milky Way-Mass Hosts

ELVES IV: The Satellite Stellar-to-Halo Mass Relation Beyond the Milky-Way

Shany Danieli, Jenny E. Greene, Scott Carlsten, Fangzhou Jiang, Rachael Beaton | Summary: [[{“value”:”Quantifying the connection between galaxies and their host dark matter halos has been key for testing cosmological models on various scales. Below $M_star sim 10^9,M_odot$, such studies have primarily relied on the satellite galaxy population orbiting the Milky Way. Here we present […]


Continue.. ELVES IV: The Satellite Stellar-to-Halo Mass Relation Beyond the Milky-Way

ELVES IV: The Satellite Stellar-to-Halo Mass Relation Beyond the Milky-Way

Shany Danieli, Jenny E. Greene, Scott Carlsten, Fangzhou Jiang, Rachael Beaton | Summary: [[{“value”:”Quantifying the connection between galaxies and their host dark matter halos has been key for testing cosmological models on various scales. Below $M_star sim 10^9,M_odot$, such studies have primarily relied on the satellite galaxy population orbiting the Milky Way. Here we present […]


Continue.. ELVES IV: The Satellite Stellar-to-Halo Mass Relation Beyond the Milky-Way

X-ray Emission from the Interstellar and Circumgalactic Medium of Elliptical Galaxies based on MACER simulations

Kavli Affiliate: Feng Yuan | First 5 Authors: Aditi Vijayan, Bocheng Zhu, Miao Li, Feng Yuan, Luis C. Ho | Summary: Interstellar (ISM) and circumgalactic mediums (CGM) around galaxies are linked to several physical processes that drive galaxy evolution. For example, the X-ray emission from the CGM gas around ellipticals has been linked to the […]


Continue.. X-ray Emission from the Interstellar and Circumgalactic Medium of Elliptical Galaxies based on MACER simulations

X-ray Emission from the Interstellar and Circumgalactic Medium of Elliptical Galaxies based on MACER simulations

Kavli Affiliate: Feng Yuan | First 5 Authors: Aditi Vijayan, Bocheng Zhu, Miao Li, Feng Yuan, Luis C. Ho | Summary: Interstellar (ISM) and circumgalactic mediums (CGM) around galaxies are linked to several physical processes that drive galaxy evolution. For example, the X-ray emission from the CGM gas around ellipticals has been linked to the […]


Continue.. X-ray Emission from the Interstellar and Circumgalactic Medium of Elliptical Galaxies based on MACER simulations

Analysis of the gradient for the stochastic fractional heat equation with spatially-colored noise in $mathbb R^d$

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, , , , | Summary: Consider the stochastic partial differential equation begin{equation*} frac{partial }{partial t}u_t(x)= -(-Delta)^{frac{alpha}{2}}u_t(x) +bleft(u_t(x)right)+sigmaleft(u_t(x)right) dot F(t, x), tge0, xin mathbb R^d, end{equation*} where $-(-Delta)^{frac{alpha}{2}}$ denotes the fractional Laplacian with the power $alpha/2in (1/2,1]$, and the driving noise $dot F$ is a centered […]


Continue.. Analysis of the gradient for the stochastic fractional heat equation with spatially-colored noise in $mathbb R^d$

Analysis of the gradient for the stochastic fractional heat equation with spatially-colored noise in $mathbb R^d$

Kavli Affiliate: Ran Wang | First 5 Authors: Ran Wang, , , , | Summary: Consider the stochastic partial differential equation $$ frac{partial }{partial t}u_t(mathbf{x})= -(-Delta)^{frac{alpha}{2}}u_t(mathbf{x}) +bleft(u_t(mathbf{x})right)+sigmaleft(u_t(mathbf{x})right) dot F(t, mathbf{x}), tge0, mathbf{x}in mathbb R^d, $$ where $-(-Delta)^{frac{alpha}{2}}$ denotes the fractional Laplacian with the power $alpha/2in (1/2,1]$, and the driving noise $dot F$ is a centered […]


Continue.. Analysis of the gradient for the stochastic fractional heat equation with spatially-colored noise in $mathbb R^d$