Zobrazeno 1 - 10
of 4 568
pro vyhledávání: '"P Sepehr"'
The ISO standard Property Graph model has become increasingly popular for representing complex, interconnected data. However, it lacks native support for querying metadata and reification, which limits its abilities to deal with the demands of modern
Externí odkaz:
http://arxiv.org/abs/2410.13813
Despite the research and implementation efforts involving various safety strategies, protocols, and technologies, work zone crashes and fatalities continue to occur at an alarming rate each year. This study investigates the neurophysiological respons
Externí odkaz:
http://arxiv.org/abs/2410.13623
Autor:
Assadi, Sepehr, Behnezhad, Soheil, Bhattacharya, Sayan, Costa, Martín, Solomon, Shay, Zhang, Tianyi
Vizing's theorem states that any $n$-vertex $m$-edge graph of maximum degree $\Delta$ can be \emph{edge colored} using at most $\Delta + 1$ different colors [Vizing, 1964]. Vizing's original proof is algorithmic and shows that such an edge coloring c
Externí odkaz:
http://arxiv.org/abs/2410.05240
This paper introduces a novel framework combining LLM agents as proxies for human strategic behavior with reinforcement learning (RL) to engage these agents in evolving strategic interactions within team environments. Our approach extends traditional
Externí odkaz:
http://arxiv.org/abs/2409.10372
Blind Image Quality Assessment (BIQA) aims to develop methods that estimate the quality scores of images in the absence of a reference image. In this paper, we approach BIQA from a distortion identification perspective, where our primary goal is to p
Externí odkaz:
http://arxiv.org/abs/2409.06853
This article introduces a novel heuristic for Task and Motion Planning (TAMP) named Interpretable Responsibility Sharing (IRS), which enhances planning efficiency in domestic robots by leveraging human-constructed environments and inherent biases. Ut
Externí odkaz:
http://arxiv.org/abs/2409.05586
Autor:
Kamahi, Sepehr, Yaghoobzadeh, Yadollah
Despite the widespread adoption of autoregressive language models, explainability evaluation research has predominantly focused on span infilling and masked language models. Evaluating the faithfulness of an explanation method -- how accurately it ex
Externí odkaz:
http://arxiv.org/abs/2408.11252
Autor:
Moalemi, Sepehr, Forbes, James Richard
This paper considers gain-scheduling of very strictly passive (VSP) subcontrollers using scheduling matrices. The use of scheduling matrices, over scalar scheduling signals, realizes greater design freedom, which in turn can improve closed-loop perfo
Externí odkaz:
http://arxiv.org/abs/2408.06476
As the performance of larger, newer Large Language Models continues to improve for strategic Theory of Mind (ToM) tasks, the demand for these state-of-the-art models increases commensurately. However, their deployment is costly both in terms of proce
Externí odkaz:
http://arxiv.org/abs/2408.05241
Autor:
Dehdashtian, Sepehr, He, Ruozhen, Li, Yi, Balakrishnan, Guha, Vasconcelos, Nuno, Ordonez, Vicente, Boddeti, Vishnu Naresh
Computer vision systems have witnessed rapid progress over the past two decades due to multiple advances in the field. As these systems are increasingly being deployed in high-stakes real-world applications, there is a dire need to ensure that they d
Externí odkaz:
http://arxiv.org/abs/2408.02464