Zobrazeno 1 - 10
of 18 216
pro vyhledávání: '"Sahni AS"'
Autor:
Schaffner, Brennan, Ulloa, Yaretzi, Sahni, Riya, Li, Jiatong, Cohen, Ava Kim, Messier, Natasha, Gao, Lan, Chetty, Marshini
Prior work on dark patterns, or manipulative online interfaces, suggests they have potentially detrimental effects on user autonomy. Dark pattern features, like those designed for attention capture, can potentially extend platform sessions beyond tha
Externí odkaz:
http://arxiv.org/abs/2412.16040
Autor:
Hu, Dongting, Chen, Jierun, Huang, Xijie, Coskun, Huseyin, Sahni, Arpit, Gupta, Aarush, Goyal, Anujraaj, Lahiri, Dishani, Singh, Rajesh, Idelbayev, Yerlan, Cao, Junli, Li, Yanyu, Cheng, Kwang-Ting, Chan, S. -H. Gary, Gong, Mingming, Tulyakov, Sergey, Kag, Anil, Xu, Yanwu, Ren, Jian
Existing text-to-image (T2I) diffusion models face several limitations, including large model sizes, slow runtime, and low-quality generation on mobile devices. This paper aims to address all of these challenges by developing an extremely small and f
Externí odkaz:
http://arxiv.org/abs/2412.09619
Core periphery structure represents a meso-scale structure in networks, characterized by a dense interconnection of core nodes and sparse connections among peripheral nodes. In this paper, we introduce an innovative approach for detecting core periph
Externí odkaz:
http://arxiv.org/abs/2411.11900
Autor:
Hsu, Pin-Lun, Dai, Yun, Kothapalli, Vignesh, Song, Qingquan, Tang, Shao, Zhu, Siyu, Shimizu, Steven, Sahni, Shivam, Ning, Haowen, Chen, Yanning
Training Large Language Models (LLMs) efficiently at scale presents a formidable challenge, driven by their ever-increasing computational demands and the need for enhanced performance. In this work, we introduce Liger-Kernel, an open-sourced set of T
Externí odkaz:
http://arxiv.org/abs/2410.10989
In finance, Random Matrix Theory (RMT) is an important tool for filtering out noise from large datasets, revealing true correlations among stocks, enhancing risk management and portfolio optimization. In this study, we use RMT to filter out noise fro
Externí odkaz:
http://arxiv.org/abs/2410.07947
Autor:
Ma, Jenny, Sreedhar, Karthik, Liu, Vivian, Wang, Sitong, Perez, Pedro Alejandro, Sahni, Riya, Chilton, Lydia B.
Recent advancements in large language models have significantly expedited the process of generating front-end code. This allows users to rapidly prototype user interfaces and ideate through code, a process known as exploratory programming. However, e
Externí odkaz:
http://arxiv.org/abs/2410.00400
Publikováno v:
Nature and Science of Sleep, Vol Volume 11, Pp 241-252 (2019)
Ashima S Sahni, Melissa Carlucci, Malik Malik, Bharati Prasad Division of Pulmonary, Critical Care, Sleep and Allergy, Department of Medicine, University of Illinois at Chicago, Chicago, IL, USACorrespondence: Ashima S SahniDivision of Pulmonary, Cri
Externí odkaz:
https://doaj.org/article/80620b0bf458463e8bb0e8f90f06bd59
The hyperbolic network models exhibit very fundamental and essential features, like small-worldness, scale-freeness, high-clustering coefficient, and community structure. In this paper, we comprehensively explore the presence of an important feature,
Externí odkaz:
http://arxiv.org/abs/2406.19953
Collaborative edge computing has become a popular paradigm where edge devices collaborate by sharing resources. Data dissemination is a fundamental problem in CEC to decide what data is transmitted from which device and how. Existing works on data di
Externí odkaz:
http://arxiv.org/abs/2405.19136
Autor:
Chan, Trevor J., Sahni, Aarush, Fang, Yijin, Li, Jie, Luthra, Alisha, Pouch, Alison, Rajapakse, Chamith S.
We introduce SAM3D, a new approach to semi-automatic zero-shot segmentation of 3D images building on the existing Segment Anything Model. We achieve fast and accurate segmentations in 3D images with a four-step strategy involving: user prompting with
Externí odkaz:
http://arxiv.org/abs/2405.06786