Kavli Affiliate: Lars Bildsten | First 5 Authors: Tin Long Sunny Wong, Lars Bildsten | Summary: The detonation of an overlying helium layer on a $0.8-1.1,mathrm{M}_{odot}$ carbon-oxygen (CO) white dwarf (WD) can detonate the CO WD and create a thermonuclear supernova (SN). Many authors have recently shown that when the mass of the He layer […]
Kavli Affiliate: Yi Zhou | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: This paper presents an accented text-to-speech (TTS) synthesis framework with limited training data. We study two aspects concerning accent rendering: phonetic (phoneme difference) and prosodic (pitch pattern and phoneme duration) variations. The proposed accented TTS framework consists of two models: […]
Kavli Affiliate: Yi Zhou | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: In image denoising, deep convolutional neural networks (CNNs) can obtain favorable performance on removing spatially invariant noise. However, many of these networks cannot perform well on removing the real noise (i.e. spatially variant noise) generated during image acquisition or transmission, […]
Kavli Affiliate: Yi Zhou | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: We propose LESS-VFL, a communication-efficient feature selection method for distributed systems with vertically partitioned data. We consider a system of a server and several parties with local datasets that share a sample ID space but have different feature sets. The […]
Kavli Affiliate: Masahiro Nozaki | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: We study the effect of spatial inhomogeneity on quantum information scrambling, a process of spreading and locally hiding quantum information in quantum many-body systems. As a paradigmatic example, we consider the quantum chaotic Ising spin chain and its inhomogeneous counterpart […]
Kavli Affiliate: Cheng Peng | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: The paper considers the problem of modeling a univariate random variable. Main contributions: (i) Suggested a new family of distributions with quantile defined by a linear combination of some basis quantiles. This family of distributions has a high shape flexibility […]
Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Jacob Hauser, Yaodong Li, Sagar Vijay, Matthew P. A. Fisher | Summary: Adaptive quantum circuits, in which unitary operations, measurements, and feedback are used to steer quantum many-body systems, provide an exciting opportunity to generate new dynamical steady states. We introduce an adaptive quantum dynamics […]
Kavli Affiliate: Leon Balents | First 5 Authors: Urban F. P. Seifert, Leon Balents | Summary: Moir’e heterostructures of transition metal dichalcogenides exhibit Mott-insulating behaviour both at half-filling as well as at fractional fillings, where electronic degrees of freedom form self-organized Wigner crystal states. An open question concerns magnetic states obtained by lifting the pseudospin-1/2 […]
Kavli Affiliate: Lars Bildsten | First 5 Authors: Christopher E. O’Connor, Lars Bildsten, Matteo Cantiello, Dong Lai | Summary: About ten percent of Sun-like ($1$-$2 M_odot$) stars will engulf a $1$-$10 M_{rm J}$ planet as they expand during the red giant branch (RGB) or asymptotic giant branch (AGB) phase of their evolution. Once engulfed, these […]
Kavli Affiliate: Biao Huang | First 5 Authors: [#item_custom_name[1]], [#item_custom_name[2]], [#item_custom_name[3]], [#item_custom_name[4]], [#item_custom_name[5]] | Summary: Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study of statistical and machine learning methods used for MMP estimation is carried out. Most […]