Zobrazeno 1 - 10
of 1 077
pro vyhledávání: '"Saria, P."'
With the growing prominence of the Mixture of Experts (MoE) architecture in developing large-scale foundation models, we investigate the Hierarchical Mixture of Experts (HMoE), a specialized variant of MoE that excels in handling complex inputs and i
Externí odkaz:
http://arxiv.org/abs/2410.02935
As artificial intelligence (AI) / machine learning (ML) gain widespread adoption, practitioners are increasingly seeking means to quantify and control the risk these systems incur. This challenge is especially salient when such systems have autonomy
Externí odkaz:
http://arxiv.org/abs/2405.06627
Autor:
Miao, Brenda Y., Chen, Irene Y., Williams, Christopher YK, Davidson, Jaysón, Garcia-Agundez, Augusto, Sun, Shenghuan, Zack, Travis, Saria, Suchi, Arnaout, Rima, Quer, Giorgio, Sadaei, Hossein J., Torkamani, Ali, Beaulieu-Jones, Brett, Yu, Bin, Gianfrancesco, Milena, Butte, Atul J., Norgeot, Beau, Sushil, Madhumita
Recent advances in generative models, including large language models (LLMs), vision language models (VLMs), and diffusion models, have accelerated the field of natural language and image processing in medicine and marked a significant paradigm shift
Externí odkaz:
http://arxiv.org/abs/2403.02558
As machine learning models in critical fields increasingly grapple with multimodal data, they face the dual challenges of handling a wide array of modalities, often incomplete due to missing elements, and the temporal irregularity and sparsity of col
Externí odkaz:
http://arxiv.org/abs/2402.03226
The ever-increasing demand for data services and the proliferation of user equipment (UE) have resulted in a significant rise in the volume of mobile traffic. Moreover, in multi-band networks, non-uniform traffic distribution among different operatio
Externí odkaz:
http://arxiv.org/abs/2401.13792
Autor:
Laham, Saria Al, Baghi, Bobak H., Lajoie, Pierre-Yves, Feriani, Amal, Herath, Sachini, Liu, Steve, Dudek, Gregory
We present a human state estimation framework that allows us to estimate the location, and even the activities, of people in an indoor environment without the requirement that they carry a specific devices with them. To achieve this "device free" loc
Externí odkaz:
http://arxiv.org/abs/2401.05410
The reliance of text classifiers on spurious correlations can lead to poor generalization at deployment, raising concerns about their use in safety-critical domains such as healthcare. In this work, we propose to use counterfactual data augmentation,
Externí odkaz:
http://arxiv.org/abs/2310.12803
Autor:
Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-11 (2024)
Abstract A fundamental goal of evaluating the performance of a clinical model is to ensure it performs well across a diverse intended patient population. A primary challenge is that the data used in model development and testing often consist of many
Externí odkaz:
https://doaj.org/article/0dbaf911a51241f4974a46bfb135b97b
Autor:
Baccour, Emna, Allahham, Mhd Saria, Erbad, Aiman, Mohamed, Amr, Hussein, Ahmed Refaey, Hamdi, Mounir
Publikováno v:
in IEEE Communications Magazine, vol. 61, no. 2, pp. 110-116, 2023
The vision of the upcoming 6G technologies, characterized by ultra-dense network, low latency, and fast data rate is to support Pervasive AI (PAI) using zero-touch solutions enabling self-X (e.g., self-configuration, self-monitoring, and self-healing
Externí odkaz:
http://arxiv.org/abs/2307.11468
Autor:
Ayako Ogawa, Hiroshi Yoshida, Saria Kawano, Nao Kikkawa, Mayumi Kobayashi-Kato, Yasuhito Tanase, Masaya Uno, Mitsuya Ishikawa
Publikováno v:
Current Oncology, Vol 31, Iss 9, Pp 5107-5120 (2024)
Background: Ovarian mesonephric-like adenocarcinoma (MLA) is a newly described histological type known for its aggressive behavior. This study aims to determine the frequency of ovarian MLA, review the existing literature, and elucidate its clinicopa
Externí odkaz:
https://doaj.org/article/6a93c219d72947c09b1d115f1929dd9e