Zobrazeno 1 - 10
of 15 766
pro vyhledávání: '"Meilin, A."'
Autor:
Shimizu, Cogan, Stephe, Shirly, Barua, Adrita, Cai, Ling, Christou, Antrea, Currier, Kitty, Dalal, Abhilekha, Fisher, Colby K., Hitzler, Pascal, Janowicz, Krzysztof, Li, Wenwen, Liu, Zilong, Mahdavinejad, Mohammad Saeid, Mai, Gengchen, Rehberger, Dean, Schildhauer, Mark, Shi, Meilin, Norouzi, Sanaz Saki, Tian, Yuanyuan, Wang, Sizhe, Wang, Zhangyu, Zalewski, Joseph, Zhou, Lu, Zhu, Rui
KnowWhereGraph is one of the largest fully publicly available geospatial knowledge graphs. It includes data from 30 layers on natural hazards (e.g., hurricanes, wildfires), climate variables (e.g., air temperature, precipitation), soil properties, cr
Externí odkaz:
http://arxiv.org/abs/2410.13948
Regional defaults describe the emerging phenomenon that text-to-image (T2I) foundation models used in generative AI are prone to over-proportionally depicting certain geographic regions to the exclusion of others. In this work, we introduce a scalabl
Externí odkaz:
http://arxiv.org/abs/2410.17255
Autor:
Yu, Meilin
A high-order space-time flux reconstruction (FR) method has been developed to solve conservation laws on moving domains. In the space-time framework, the moving domain simulation is similar to that on a stationary domain, except that the shape of the
Externí odkaz:
http://arxiv.org/abs/2409.14005
Generative AI based on foundation models provides a first glimpse into the world represented by machines trained on vast amounts of multimodal data ingested by these models during training. If we consider the resulting models as knowledge bases in th
Externí odkaz:
http://arxiv.org/abs/2404.07612
Deep learning technologies have demonstrated their effectiveness in removing cloud cover from optical remote-sensing images. Convolutional Neural Networks (CNNs) exert dominance in the cloud removal tasks. However, constrained by the inherent limitat
Externí odkaz:
http://arxiv.org/abs/2403.11870
Autor:
Meilin, Tal
We prove that the M\"obius function is orthogonal to polynomials over $\mathbb{F}_q[x]$ (up to a characteristic condition). We use this orthogonality property to count prime solutions to affine-linear equations of bounded complexity in $\mathbb{F}_p[
Externí odkaz:
http://arxiv.org/abs/2402.02480
In this study, we present a universal nonlinear numerical scheme design method enabled by multi-agent reinforcement learning (MARL). Different from contemporary supervised-learning-based and reinforcement-learning-based approaches, no reference data
Externí odkaz:
http://arxiv.org/abs/2312.13260
Autor:
Mall, Utkarsh, Phoo, Cheng Perng, Liu, Meilin Kelsey, Vondrick, Carl, Hariharan, Bharath, Bala, Kavita
We introduce a method to train vision-language models for remote-sensing images without using any textual annotations. Our key insight is to use co-located internet imagery taken on the ground as an intermediary for connecting remote-sensing images a
Externí odkaz:
http://arxiv.org/abs/2312.06960
Autor:
Liu, Zilong, Janowicz, Krzysztof, Currier, Kitty, Shi, Meilin, Rao, Jinmeng, Gao, Song, Cai, Ling, Graser, Anita
While the paths humans take play out in social as well as physical space, measures to describe and compare their trajectories are carried out in abstract, typically Euclidean, space. When these measures are applied to trajectories of actual individua
Externí odkaz:
http://arxiv.org/abs/2312.01151
Autor:
Liu, Changzhu, He, Ruisi, Niu, Yong, Han, Zhu, Ai, Bo, Gao, Meilin, Ma, Zhangfeng, Wang, Gongpu, Zhong, Zhangdui
Reconfigurable intelligent surface (RIS) emerges as an efficient and promising technology for the next wireless generation networks and has attracted a lot of attention owing to the capability of extending wireless coverage by reflecting signals towa
Externí odkaz:
http://arxiv.org/abs/2310.12429