Zobrazeno 1 - 10
of 20 162
pro vyhledávání: '"Chacko, A."'
Since true communities within real-world networks are rarely known, synthetic networks with planted ground truths are valuable for evaluating the performance of community detection methods. Of the synthetic network generation tools available, Stochas
Externí odkaz:
http://arxiv.org/abs/2408.13647
Community detection approaches resolve complex networks into smaller groups (communities) that are expected to be relatively edge-dense and well-connected. The stochastic block model (SBM) is one of several approaches used to uncover community struct
Externí odkaz:
http://arxiv.org/abs/2408.10464
Similar to other transaction processing frameworks, blockchain systems need to be dynamically reconfigured to adapt to varying workloads and changes in network conditions. However, achieving optimal reconfiguration is particularly challenging due to
Externí odkaz:
http://arxiv.org/abs/2406.06318
Autor:
Li, Dawei, Yang, Shu, Tan, Zhen, Baik, Jae Young, Yun, Sukwon, Lee, Joseph, Chacko, Aaron, Hou, Bojian, Duong-Tran, Duy, Ding, Ying, Liu, Huan, Shen, Li, Chen, Tianlong
Recent advancements in large language models (LLMs) have achieved promising performances across various applications. Nonetheless, the ongoing challenge of integrating long-tail knowledge continues to impede the seamless adoption of LLMs in specializ
Externí odkaz:
http://arxiv.org/abs/2405.04819
We present experimental single and multimode sustained 1H NMR masers in solution on thermally polarized spins at room temperature and 9.4 T achieved through the electronic control of radiation feedback (radiation damping). Our observations illustrate
Externí odkaz:
http://arxiv.org/abs/2404.03562
Autor:
Chacko, Rahul N., Landes, François P., Biroli, Giulio, Dauchot, Olivier, Liu, Andrea J., Reichman, David R.
Convincing evidence of domain growth in the heating of ultrastable glasses suggests that the equilibration dynamics of super-cooled liquids could be driven by a nucleation and growth mechanism. We investigate this possibility by simulating the equili
Externí odkaz:
http://arxiv.org/abs/2312.15069
This paper studies the optimal control problem for discrete-time nonlinear systems and an approximate dynamic programming-based Model Predictive Control (MPC) scheme is proposed for minimizing a quadratic performance measure. In the proposed approach
Externí odkaz:
http://arxiv.org/abs/2312.05952
Autor:
Xiao, Qi, Woo, Jongha, Song, Lidong, Xu, Bei, Lubkeman, David, Lu, Ning, Mohammed, Abdul Shafae, Enslin, Johan, Chacko, Cara De Coste, Sico, Kat, Whisenant, Steven G.
The widespread deployment of inverter-based resources (IBRs) renders distribution systems susceptible to transmission-level faults. This paper presents a comprehensive analysis of the impact of transmission-level faults on 3-phase and 1-phase distrib
Externí odkaz:
http://arxiv.org/abs/2311.11339
Autor:
Zhang, Xuanmeng, Zhang, Jianfeng, Chacko, Rohan, Xu, Hongyi, Song, Guoxian, Yang, Yi, Feng, Jiashi
We study the problem of 3D-aware full-body human generation, aiming at creating animatable human avatars with high-quality textures and geometries. Generally, two challenges remain in this field: i) existing methods struggle to generate geometries wi
Externí odkaz:
http://arxiv.org/abs/2310.02714
Gaussian Process Regression-based Gaussian Approximation Potential has been used to develop machine-learned interatomic potentials having density-functional accuracy for free sodium clusters. The training data was generated from a large sample of ove
Externí odkaz:
http://arxiv.org/abs/2309.08937