Zobrazeno 1 - 10
of 10 184
pro vyhledávání: '"GUO, ZHEN"'
Autor:
Guo, Zhen
In today's world, online communication through social network services (SNSs) has become an essential aspect of people's daily lives. As social networking sites (SNSs) have become more sophisticated, cyber attackers have found ways to exploit them fo
Externí odkaz:
http://hdl.handle.net/10919/114900
Let $d(n)$ be the Dirichlet divisor function and $\Delta(x)$ denote the error term of the sum $\sum_{n\leqslant x}d(n)$ for a large real variable $x$. In this paper we focus on the sum $\sum_{p\leqslant x}\Delta^2(p)$, where $p$ runs over primes. We
Externí odkaz:
http://arxiv.org/abs/2410.00329
Let $3\leqslant k\leqslant9$ be a fixed integer, $p$ be a prime and $d(n)$ denote the Dirichlet divisor function. We use $\Delta(x)$ to denote the error term in the asymptotic formula of the summatory function of $d(n)$. The aim of this paper is to s
Externí odkaz:
http://arxiv.org/abs/2410.00936
Backdoor attacks pose a significant threat to neural networks, enabling adversaries to manipulate model outputs on specific inputs, often with devastating consequences, especially in critical applications. While backdoor attacks have been studied in
Externí odkaz:
http://arxiv.org/abs/2409.13864
Autor:
Sun, Qingyun, Guo, Zhen
We propose a scaling law hypothesis for multimodal models processing text, audio, images, and video within a shared token and embedding space. Our framework predicts model performance based on modality-specific compression and tokenization efficiency
Externí odkaz:
http://arxiv.org/abs/2409.06754
Autor:
Wendeborn, John, Espaillat, Catherine C., Thanathibodee, Thanawuth, Robinson, Connor E., Pittman, Caeley V., Calvet, Nuria, Muzerolle, James, Walter, Fredrick M., Eisloffel, Jochen, Fiorellino, Eleonora, Manara, Carlo F., Kospal, Agnes, Abraham, Peter, Claes, Rik, Rigliaco, Elisabetta, Venuti, Laura, Campbell-White, Justyn, McGinnis, Pauline, Gangi, Manuele, Mauco, Karina, Gameiro, Filipe, Frasca, Antonio, Guo, Zhen
Classical T Tauri Stars (CTTSs) are highly variable stars that possess gas- and dust-rich disks from which planets form. Much of their variability is driven by mass accretion from the surrounding disk, a process that is still not entirely understood.
Externí odkaz:
http://arxiv.org/abs/2408.04465
The increasing prominence of deep learning applications and reliance on personalized data underscore the urgent need to address privacy vulnerabilities, particularly Membership Inference Attacks (MIAs). Despite numerous MIA studies, significant knowl
Externí odkaz:
http://arxiv.org/abs/2407.01306
AI agents have become increasingly significant in various domains, enabling autonomous decision-making and problem-solving. To function effectively, these agents require a planning process that determines the best course of action and then executes t
Externí odkaz:
http://arxiv.org/abs/2406.18082
The ability to automatically and robustly self-verify periodicity present in time-series astronomical data is becoming more important as data sets rapidly increase in size. The age of large astronomical surveys has rendered manual inspection of time-
Externí odkaz:
http://arxiv.org/abs/2406.08571
The accuracy of phaseless auxiliary-field quantum Monte Carlo (ph-AFQMC) can be systematically improved with better trial states. Using multi-Slater determinant trial states, ph-AFQMC has the potential to faithfully treat strongly correlated systems,
Externí odkaz:
http://arxiv.org/abs/2406.08314