Zobrazeno 1 - 10
of 216 351
pro vyhledávání: '"Mohsen, A"'
Autor:
Rad, Mohsen Falah, Roudposhti, Kamrad Khoshhal, Khoobkar, Mohammad Hassan, Shirali, Mohsen, Ahmadi, Zahra, Fernandez-Llatas, Carlos
The growth in the elderly population and the shift in the age pyramid have increased the demand for healthcare and well-being services. To address this concern, alongside the rising cost of medical care, the concept of ageing at home has emerged, dri
Externí odkaz:
http://arxiv.org/abs/2410.04152
Detecting temporal changes in geographical landscapes is critical for applications like environmental monitoring and urban planning. While remote sensing data is abundant, existing vision-language models (VLMs) often fail to capture temporal dynamics
Externí odkaz:
http://arxiv.org/abs/2410.19552
Autor:
Ghaffari, Mohsen, Grunau, Christoph
A recent work by Christiansen, Nowicki, and Rotenberg provides dynamic algorithms for coloring sparse graphs, concretely as a function of the arboricity alpha of the input graph. They give two randomized algorithms: O({alpha} log {alpha}) implicit co
Externí odkaz:
http://arxiv.org/abs/2410.19536
Autor:
Ghaffari, Mohsen, Grunau, Christoph
This paper improves and in two cases nearly settles, up to logarithmically lower-order factors, the deterministic complexity of some of the most central problems in distributed graph algorithms, which have been studied for over three decades: Near-Op
Externí odkaz:
http://arxiv.org/abs/2410.19516
Current Serverless abstractions (e.g., FaaS) poorly support non-functional requirements (e.g., QoS and constraints), are provider-dependent, and are incompatible with other cloud abstractions (e.g., databases). As a result, application developers hav
Externí odkaz:
http://arxiv.org/abs/2410.16569
Autor:
Yin, Xunzhao, Barkam, Hamza Errahmouni, Müller, Franz, Jiang, Yuxiao, Imani, Mohsen, Abdulazhanov, Sukhrob, Vardar, Alptekin, Laleni, Nellie, Zhao, Zijian, Duan, Jiahui, Shi, Zhiguo, Joshi, Siddharth, Niemier, Michael, Hu, Xiaobo Sharon, Zhuo, Cheng, Kämpfe, Thomas, Ni, Kai
Neuro-symbolic artificial intelligence (AI) excels at learning from noisy and generalized patterns, conducting logical inferences, and providing interpretable reasoning. Comprising a 'neuro' component for feature extraction and a 'symbolic' component
Externí odkaz:
http://arxiv.org/abs/2410.15296
Autor:
Sun, Y. Qiang, Hassanzadeh, Pedram, Zand, Mohsen, Chattopadhyay, Ashesh, Weare, Jonathan, Abbot, Dorian S.
Predicting gray swan weather extremes, which are possible but so rare that they are absent from the training dataset, is a major concern for AI weather/climate models. An important open question is whether AI models can extrapolate from weaker weathe
Externí odkaz:
http://arxiv.org/abs/2410.14932
Autor:
Ghassemi, Mohsen, Mishler, Alan, Dalmasso, Niccolo, Zhang, Luhao, Potluru, Vamsi K., Balch, Tucker, Veloso, Manuela
Conditional demographic parity (CDP) is a measure of the demographic parity of a predictive model or decision process when conditioning on an additional feature or set of features. Many algorithmic fairness techniques exist to target demographic pari
Externí odkaz:
http://arxiv.org/abs/2410.14029
In this paper, we investigate problems concerning when the residue field $k$ of a local ring $(R,\frak m$, $k)$ appears as a direct summand of syzygy modules, from two perspectives. First, we prove that the following conditions are equivalent: (i) $k
Externí odkaz:
http://arxiv.org/abs/2410.12227
In this paper, we propose the $\textit{geometric invariance hypothesis (GIH)}$, which argues that when training a neural network, the input space curvature remains invariant under transformation in certain directions determined by its architecture. S
Externí odkaz:
http://arxiv.org/abs/2410.12025