Zobrazeno 1 - 10
of 33 077
pro vyhledávání: '"So, Kitty"'
Autor:
Stephen, Shirly, Faulk, Mitchell, Janowicz, Krzysztof, Fisher, Colby, Thelen, Thomas, Zhu, Rui, Hitzler, Pascal, Shimizu, Cogan, Currier, Kitty, Schildhauer, Mark, Rehberger, Dean, Wang, Zhangyu, Christou, Antrea
Geospatial Knowledge Graphs (GeoKGs) have become integral to the growing field of Geospatial Artificial Intelligence. Initiatives like the U.S. National Science Foundation's Open Knowledge Network program aim to create an ecosystem of nation-scale, c
Externí odkaz:
http://arxiv.org/abs/2410.14808
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
Reachability and other path-based measures on temporal graphs can be used to understand spread of infection, information, and people in modelled systems. Due to delays and errors in reporting, temporal graphs derived from data are unlikely to perfect
Externí odkaz:
http://arxiv.org/abs/2404.19479
Temporal graphs provide a useful model for many real-world networks. Unfortunately the majority of algorithmic problems we might consider on such graphs are intractable. There has been recent progress in defining structural parameters which describe
Externí odkaz:
http://arxiv.org/abs/2404.19453
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
Autor:
Plouin, Juliette, Baudouy, Bertrand, Four, Aurélien, Charrier, Jean-Pierre, Maurice, Luc, Novo, Jorge, Peters, Benedikt, Liao, Kitty
Publikováno v:
Phys. Rev. Accel. Beams 22, 083202 (2019)
Superconducting RF cavities are used in particle accelerators to provide energy to the particle beam. Such cavities are mostly fabricated in niobium and often operated in superfluid helium. One of their limits of operation is the appearance of a loca
Externí odkaz:
http://arxiv.org/abs/2404.06377
Autor:
Madathil, Jayakrishnan, Meeks, Kitty
We study {\sc Cluster Edge Modification} problems with constraints on the size of the clusters. A graph $G$ is a cluster graph if every connected component of $G$ is a clique. In a typical {\sc Cluster Edge Modification} problem such as the widely st
Externí odkaz:
http://arxiv.org/abs/2403.03830
Publikováno v:
AAMAS 2024
Learning in general-sum games often yields collectively sub-optimal results. Addressing this, opponent shaping (OS) methods actively guide the learning processes of other agents, empirically leading to improved individual and group performances in ma
Externí odkaz:
http://arxiv.org/abs/2402.05782
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