Zobrazeno 1 - 10
of 5 130
pro vyhledávání: '"Huang, Chin"'
Autor:
Huang, Chin-Wei
Les modèles génératifs basés sur la vraisemblance sont des éléments fondamentaux pour la modélisation statistique des données structurées. Ils peuvent être utilisés pour synthétiser des échantillons de données réalistes, et la fonction
Externí odkaz:
http://hdl.handle.net/1866/33616
Autor:
Zeni, Claudio, Pinsler, Robert, Zügner, Daniel, Fowler, Andrew, Horton, Matthew, Fu, Xiang, Shysheya, Sasha, Crabbé, Jonathan, Sun, Lixin, Smith, Jake, Nguyen, Bichlien, Schulz, Hannes, Lewis, Sarah, Huang, Chin-Wei, Lu, Ziheng, Zhou, Yichi, Yang, Han, Hao, Hongxia, Li, Jielan, Tomioka, Ryota, Xie, Tian
The design of functional materials with desired properties is essential in driving technological advances in areas like energy storage, catalysis, and carbon capture. Generative models provide a new paradigm for materials design by directly generatin
Externí odkaz:
http://arxiv.org/abs/2312.03687
Autor:
HUANG, CHIN-HAO, HO, SELINA
Publikováno v:
Contemporary Southeast Asia, 2024 Apr 01. 46(1), 1-18.
Externí odkaz:
https://www.jstor.org/stable/27301252
We consider the use of a domain proxy assisted private citizen broadband radio service (CBRS) network and propose a Maximum Transmission Continuity (MTC) scheme to transmit Internet of Things (IoT) data reliably. MTC dynamically allocates available C
Externí odkaz:
http://arxiv.org/abs/2310.14171
Content Delivery Networks carry the majority of Internet traffic, and the increasing demand for video content as a major IP traffic across the Internet highlights the importance of caching and prefetching optimization algorithms. Prefetching aims to
Externí odkaz:
http://arxiv.org/abs/2310.07881
Autor:
Arts, Marloes, Satorras, Victor Garcia, Huang, Chin-Wei, Zuegner, Daniel, Federici, Marco, Clementi, Cecilia, Noé, Frank, Pinsler, Robert, Berg, Rianne van den
Coarse-grained (CG) molecular dynamics enables the study of biological processes at temporal and spatial scales that would be intractable at an atomistic resolution. However, accurately learning a CG force field remains a challenge. In this work, we
Externí odkaz:
http://arxiv.org/abs/2302.00600
In an active sensing system, waveforms with good auto-correlations are preferred for accurate parameter estimation. Furthermore, spectral compatibility is required to avoid mutual interference between devices as the electromagnetic environment become
Externí odkaz:
http://arxiv.org/abs/2210.08564
Autor:
Huang, Chin-Wei, Aghajohari, Milad, Bose, Avishek Joey, Panangaden, Prakash, Courville, Aaron
Diffusion models are recent state-of-the-art methods for image generation and likelihood estimation. In this work, we generalize continuous-time diffusion models to arbitrary Riemannian manifolds and derive a variational framework for likelihood esti
Externí odkaz:
http://arxiv.org/abs/2208.07949