Zobrazeno 1 - 10
of 7 923
pro vyhledávání: '"BAYATI, A."'
Single-file diffusion (SFD) is a key mechanism underlying transport phenomena in confined physical and biological systems. In a typical SFD process, microscopic particles are restricted to moving in a narrow channel where they cannot pass one another
Externí odkaz:
http://arxiv.org/abs/2411.08988
Accurate estimation of treatment effects is essential for decision-making across various scientific fields. This task, however, becomes challenging in areas like social sciences and online marketplaces, where treating one experimental unit can influe
Externí odkaz:
http://arxiv.org/abs/2411.00945
In this paper, we investigate some properties of symbolic powers and symbolic Rees algebras of binomial edge ideals associated with some classes of block graphs. First, it is shown that symbolic powers of binomial edge ideals of pendant cliques graph
Externí odkaz:
http://arxiv.org/abs/2409.10137
AI model alignment is crucial due to inadvertent biases in training data and the underspecified machine learning pipeline, where models with excellent test metrics may not meet end-user requirements. While post-training alignment via human feedback s
Externí odkaz:
http://arxiv.org/abs/2406.18777
Autor:
Bayati, Parvin, Mallory, Stewart A.
A longstanding goal in colloidal active matter is to understand how gradients in fuel concentration influence the motion of phoretic Janus particles. Here, we present a theoretical description of the motion of a spherical phoretic Janus particle in t
Externí odkaz:
http://arxiv.org/abs/2404.10154
Autor:
Cao, Junyu, Bayati, Mohsen
A growing trend involves integrating human knowledge into learning frameworks, leveraging subtle human feedback to refine AI models. Despite these advances, no comprehensive theoretical framework describing the specific conditions under which human c
Externí odkaz:
http://arxiv.org/abs/2403.10771
Although the security testing of Web systems can be automated by generating crafted inputs, solutions to automate the test oracle, i.e., vulnerability detection, remain difficult to apply in practice. Specifically, though previous work has demonstrat
Externí odkaz:
http://arxiv.org/abs/2402.10773
Publikováno v:
Bulletin of the Brazilian Mathematical Society, New Series volume 54 (2023)
In this paper, we investigate whether the symbolic and ordinary powers of a binomial edge ideal $J_{G}$ are equal. We show that the equality $J_{G}^{t}=J_{G}^{(t)}$ holds for every $t \geq 1$ when $|Ass(J_{G})|=2$. Moreover, if $G$ is a caterpillar t
Externí odkaz:
http://arxiv.org/abs/2312.02687
This work presents a new approach to solve the sparse linear regression problem, i.e., to determine a k-sparse vector w in R^d that minimizes the cost ||y - Aw||^2_2. In contrast to the existing methods, our proposed approach splits this k-sparse vec
Externí odkaz:
http://arxiv.org/abs/2311.08342
Autor:
Shirani, Sadegh, Bayati, Mohsen
Randomized experiments are a powerful methodology for data-driven evaluation of decisions or interventions. Yet, their validity may be undermined by network interference. This occurs when the treatment of one unit impacts not only its outcome but als
Externí odkaz:
http://arxiv.org/abs/2311.08340