Blog
The Impact of Plasma Angular Momentum on Magnetically Arrested Flows and Relativistic Jets in Hot Accretion Flows Around Black Holes
In certain scenarios, the accreted angular momentum of plasma onto a black hole could be low; however, how the accretion dynamics depend on the angular momentum content of the plasma is still not fully understood. We present three-dimensional, general relativistic magnetohydrodynamic simulations...
A dual-stage constitutive modeling framework based on finite strain data-driven identification and physics-augmented neural networks
In this contribution, we present a novel consistent dual-stage approach for the automated generation of hyperelastic constitutive models which only requires experimentally measurable data. To generate input data for our approach, an experiment with full-field measurement has to be conducted to gather...
Nonreciprocal wave-mediated interactions power a classical time crystal
An acoustic standing wave acts as a lattice of evenly spaced potential energy wells for sub-wavelength-scale objects. Trapped particles interact with each other by exchanging waves that they scatter from the standing wave. Unless the particles have identical scattering properties, their wave-mediated...
Baryon Acoustic Oscillations in tomographic Angular Density and Redshift Fluctuations
In this work we examine the baryon acoustic oscillations (BAO) in 2D angular and redshift space $\{\theta, \Delta z\}$, with $\Delta z$ denoting the redshift difference between two given angular shells. We thus work in the context of tomographic analyses of the...
SimulS2S-LLM: Unlocking Simultaneous Inference of Speech LLMs for Speech-to-Speech Translation
Simultaneous speech translation (SST) outputs translations in parallel with streaming speech input, balancing translation quality and latency. While large language models (LLMs) have been extended to handle the speech modality, streaming remains challenging as speech is prepended as a prompt for the...
Ridge-Regularized Largest Root Test for General High-dimensional Double Wishart Problems
In multivariate analysis, many core problems involve the eigen-analysis of an \(F\)-matrix, \(\bF = \bW_1\bW_2^{-1}\), constructed from two Wishart matrices, \(\bW_1\) E \(\bW_2\). These so-called \textit{Double Wishart problems} arise in contexts such as MANOVA, covariance matrix equality testing, and hypothesis testing in...
T2VShield: Model-Agnostic Jailbreak Defense for Text-to-Video Models
The rapid development of generative artificial intelligence has made text to video models essential for building future multimodal world simulators. Tuttavia, these models remain vulnerable to jailbreak attacks, where specially crafted prompts bypass safety mechanisms and lead to the generation of harmful...
Transport f divergences
We define a class of divergences to measure differences between probability density functions in one-dimensional sample space. The construction is based on the convex function with the Jacobi operator of mapping function that pushforwards one density to the other. We call these...
Derivatives of tree tensor networks and its applications in Runge–Kutta methods
Tree tensor networks (TTNs) provide a compact and structured representation of high-dimensional data, making them valuable in various areas of computational mathematics and physics. In this paper, we present a rigorous mathematical framework for expressing high-order derivatives of functional TTNs, both with...
Element-Grouping Strategy for Intelligent Reflecting Surface: Performance Analysis and Algorithm Optimization
As a revolutionary paradigm for intelligently controlling wireless channels, intelligent reflecting surface (IRS) has emerged as a promising technology for future sixth-generation (6G) wireless communications. While IRS-aided communication systems can achieve attractive high channel gains, existing schemes require plenty of IRS elements...