Zobrazeno 1 - 10
of 97 695
pro vyhledávání: '"Truong, A."'
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including In
Externí odkaz:
http://arxiv.org/abs/2409.15243
Autor:
Ngoc, Tran Thi, Xuan, Pham Truong
In this paper we establish a conformal scattering theory for the defocusing semilinear wave equations on the Schwarzschild spacetime. We combine the energy and pointwise decay results of solutions obtained in \cite{Yang} and a Sobolev embedding on sp
Externí odkaz:
http://arxiv.org/abs/2410.17745
Autor:
Seo, Minseok, Nguyen, Xuan Truong, Hwang, Seok Joong, Kwon, Yongkee, Kim, Guhyun, Park, Chanwook, Kim, Ilkon, Park, Jaehan, Kim, Jeongbin, Shin, Woojae, Won, Jongsoon, Choi, Haerang, Kim, Kyuyoung, Kwon, Daehan, Jeong, Chunseok, Lee, Sangheon, Choi, Yongseok, Byun, Wooseok, Baek, Seungcheol, Lee, Hyuk-Jae, Kim, John
Publikováno v:
ASPLOS 2024
Accelerating end-to-end inference of transformer-based large language models (LLMs) is a critical component of AI services in datacenters. However, diverse compute characteristics of end-to-end LLM inference present challenges as previously proposed
Externí odkaz:
http://arxiv.org/abs/2410.15008
Autor:
Truong, Lan V.
In this paper, we introduce various covering number bounds for linear function classes, each subject to different constraints on input and matrix norms. These bounds are contingent on the rank of each class of matrices. We then apply these bounds to
Externí odkaz:
http://arxiv.org/abs/2410.11500
Autor:
Nguyen, Duc Phu, Nguyen, Thanh Long, Tu, Minh Dang, Quach, Cong Hoang, Truong, Xuan Tung, Phung, Manh Duong
Service robots that work alongside humans in a shared environment need a navigation system that takes into account not only physical safety but also social norms for mutual cooperation. In this paper, we introduce a motion planning system that includ
Externí odkaz:
http://arxiv.org/abs/2410.09803
It is well established that starting only with strong, projective quantum measurements, experiments can be designed to allow weak measurements, which lead to random walk between the possible final measurement outcomes. However, one can ask the revers
Externí odkaz:
http://arxiv.org/abs/2410.08484
Autor:
Mosbech, Markus R., Casas, Santiago, Lesgourgues, Julien, Linde, Dennis, Dizgah, Azadeh Moradinezhad, Radermacher, Christian, Truong, Jannik
We apply the Effective Field Theory of Large Scale Structure (EFTofLSS) to non-standard models of dark matter with suppressed small-scale structure imprinted by early-time physics, here exemplified by interacting dark matter (IDM) coupled to standard
Externí odkaz:
http://arxiv.org/abs/2410.08163
Autor:
Vu, Xuan-Truong
In this paper, we study the logarithmically regularized 2D Euler equations, which are derived by regularizing the Euler equation for the vorticity have been studied recently to get better understanding of the Euler equations. It was shown that the lo
Externí odkaz:
http://arxiv.org/abs/2410.05599
Autor:
Tran, Quyen, Le, Minh, Truong, Tuan, Phung, Dinh, Ngo, Linh, Nguyen, Thien, Ho, Nhat, Le, Trung
Drawing inspiration from human learning behaviors, this work proposes a novel approach to mitigate catastrophic forgetting in Prompt-based Continual Learning models by exploiting the relationships between continuously emerging class data. We find tha
Externí odkaz:
http://arxiv.org/abs/2410.04327
We introduce Flat Hilbert Bayesian Inference (FHBI), an algorithm designed to enhance generalization in Bayesian inference. Our approach involves an iterative two-step procedure with an adversarial functional perturbation step and a functional descen
Externí odkaz:
http://arxiv.org/abs/2410.04196