Zobrazeno 1 - 10
of 436
pro vyhledávání: '"Cheng, Chung Kuan"'
We study the minimization of a quadratic over Stiefel manifolds (the set of all orthogonal $r$-frames in \IR^n), which has applications in high-dimensional semi-supervised classification tasks. To reduce the computational complexity, sequential subsp
Externí odkaz:
http://arxiv.org/abs/2404.13301
There is substantial interest in the use of machine learning (ML)-based techniques throughout the electronic computer-aided design (CAD) flow, particularly methods based on deep learning. However, while deep learning methods have achieved state-of-th
Externí odkaz:
http://arxiv.org/abs/2403.00103
Motivated by the need to address the degeneracy of canonical Laplace learning algorithms in low label rates, we propose to reformulate graph-based semi-supervised learning as a nonconvex generalization of a \emph{Trust-Region Subproblem} (TRS). This
Externí odkaz:
http://arxiv.org/abs/2308.00142
Objective: The Electroencephalogram (EEG) is gaining popularity as a physiological measure for neuroergonomics in human factor studies because it is objective, less prone to bias, and capable of assessing the dynamics of cognitive states. This study
Externí odkaz:
http://arxiv.org/abs/2305.08044
We provide open, transparent implementation and assessment of Google Brain's deep reinforcement learning approach to macro placement and its Circuit Training (CT) implementation in GitHub. We implement in open source key "blackbox" elements of CT, an
Externí odkaz:
http://arxiv.org/abs/2302.11014
Packaging has become a crucial process due to the paradigm shift of More than Moore. Addressing manufacturing and yield issues is a significant challenge for modern layout algorithms. We propose to use printed circuit board (PCB) placement as a bench
Externí odkaz:
http://arxiv.org/abs/2210.14259
Publikováno v:
SIAM Journal on Numerical Analysis, Volume 59, Issue 1, Page 370-400, January 2021
We study a stability preserved Arnoldi algorithm for matrix exponential in the time domain simulation of large-scale power delivery networks (PDN), which are formulated as semi-explicit differential algebraic equations (DAEs). The solution can be dec
Externí odkaz:
http://arxiv.org/abs/2005.14468
We propose a flat, analytic, mixed-size placement algorithm ePlace-3D for three-dimension integrated circuits (3D-ICs) using nonlinear optimization. Our contributions are (1) electrostatics based 3D density function with globally uniform smoothness (
Externí odkaz:
http://arxiv.org/abs/1512.08291
We proposed MATEX, a distributed framework for transient simulation of power distribution networks (PDNs). MATEX utilizes matrix exponential kernel with Krylov subspace approximations to solve differential equations of linear circuit. First, the whol
Externí odkaz:
http://arxiv.org/abs/1511.04519
We propose an efficient algorithmic framework for time domain circuit simulation using exponential integrator. This work addresses several critical issues exposed by previous matrix exponential based circuit simulation research, and makes it capable
Externí odkaz:
http://arxiv.org/abs/1511.04515