Zobrazeno 1 - 10
of 88 391
pro vyhledávání: '"A Amer"'
The development of more complex inverter-based resources (IBRs) control is becoming essential as a result of the growing share of renewable energy sources in power systems. Given the diverse range of control schemes, grid operators are typically prov
Externí odkaz:
http://arxiv.org/abs/2411.13213
Emojis improve communication quality among smart-phone users that use mobile keyboards to exchange text. To predict emojis for users based on input text, we should consider the on-device low memory and time constraints, ensure that the on-device emoj
Externí odkaz:
http://arxiv.org/abs/2411.05031
Autor:
Chua, Lynn, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Sinha, Amer, Zhang, Chiyuan
We provide new lower bounds on the privacy guarantee of the multi-epoch Adaptive Batch Linear Queries (ABLQ) mechanism with shuffled batch sampling, demonstrating substantial gaps when compared to Poisson subsampling; prior analysis was limited to a
Externí odkaz:
http://arxiv.org/abs/2411.04205
Autor:
Essakine, Amer, Cheng, Yanqi, Cheng, Chun-Wun, Zhang, Lipei, Deng, Zhongying, Zhu, Lei, Schönlieb, Carola-Bibiane, Aviles-Rivero, Angelica I
Implicit Neural Representations (INRs) have emerged as a paradigm in knowledge representation, offering exceptional flexibility and performance across a diverse range of applications. INRs leverage multilayer perceptrons (MLPs) to model data as conti
Externí odkaz:
http://arxiv.org/abs/2411.03688
Autor:
Badawi, Abeer, Elmoghazy, Somayya, Choudhury, Samira, Elgazzar, Sara, Elgazzar, Khalid, Burhan, Amer
Dementia is a neurodegenerative condition that combines several diseases and impacts millions around the world and those around them. Although cognitive impairment is profoundly disabling, it is the noncognitive features of dementia, referred to as N
Externí odkaz:
http://arxiv.org/abs/2411.08882
Autor:
Wang, Jiahao, Shalaby, Amer
Users of the transit system flood social networks daily with messages that contain valuable insights crucial for improving service quality. These posts help transit agencies quickly identify emerging issues. Parsing topics and sentiments is key to ga
Externí odkaz:
http://arxiv.org/abs/2410.15016
Autor:
Wang, Jiahao, Shalaby, Amer
Accurate prediction of public transit ridership is vital for efficient planning and management of transit in rapidly growing urban areas in Canada. Unexpected increases in passengers can cause overcrowded vehicles, longer boarding times, and service
Externí odkaz:
http://arxiv.org/abs/2410.15013
Autor:
Wang, Jiahao, Shalaby, Amer
Public transit systems play a crucial role in providing efficient and sustainable transportation options in urban areas. However, these systems face various challenges in meeting commuters' needs. On the other hand, despite the rapid development of L
Externí odkaz:
http://arxiv.org/abs/2410.14147
Autor:
Amer, Hafiza Rumlah, Rashid, Jibran
Multipartite information principles are needed to understand nonlocal quantum correlations. Towards that end, we provide optimal bounds on genuine multipartite nonlocality for classes of THRESHOLD games using the LOCCG (Local Operations with Grouping
Externí odkaz:
http://arxiv.org/abs/2410.09900
Autor:
Huang, Yangsibo, Liu, Daogao, Chua, Lynn, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Nasr, Milad, Sinha, Amer, Zhang, Chiyuan
Machine unlearning algorithms, designed for selective removal of training data from models, have emerged as a promising approach to growing privacy concerns. In this work, we expose a critical yet underexplored vulnerability in the deployment of unle
Externí odkaz:
http://arxiv.org/abs/2410.09591