Zobrazeno 1 - 10
of 159 156
pro vyhledávání: '"To, Cathy"'
The out-of-time ordered correlator (OTOC) has become a popular probe for quantum information spreading and thermalization. In systems with local interactions, the OTOC defines a characteristic butterfly lightcone that separates a regime not yet distu
Externí odkaz:
http://arxiv.org/abs/2411.07298
Autor:
Thomas, Nancy, Rahimi, Saba, Vapsi, Annita, Ansell, Cathy, Christie, Elizabeth, Borrajo, Daniel, Balch, Tucker, Veloso, Manuela
Publikováno v:
IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (2024) 7746-7751
Amidst escalating climate change, hurricanes are inflicting severe socioeconomic impacts, marked by heightened economic losses and increased displacement. Previous research utilized nighttime light data to predict the impact of hurricanes on economic
Externí odkaz:
http://arxiv.org/abs/2410.22150
Autor:
Ghosh, Ritam, Khan, Nibraas, Migovich, Miroslava, Tate, Judith A., Maxwell, Cathy, Latshaw, Emily, Newhouse, Paul, Scharre, Douglas W., Tan, Alai, Colopietro, Kelley, Mion, Lorraine C., Sarkar, Nilanjan
Apathy impairs the quality of life for older adults and their care providers. While few pharmacological remedies exist, current non-pharmacologic approaches are resource intensive. To address these concerns, this study utilizes a user-centered design
Externí odkaz:
http://arxiv.org/abs/2410.21197
Despite the popularity of multi-agent reinforcement learning (RL) in simulated and two-player applications, its success in messy real-world applications has been limited. A key challenge lies in its generalizability across problem variations, a commo
Externí odkaz:
http://arxiv.org/abs/2410.15221
Mixed Integer Linear Programming (MILP) is essential for modeling complex decision-making problems but faces challenges in computational tractability and requires expert formulation. Current deep learning approaches for MILP focus on specific problem
Externí odkaz:
http://arxiv.org/abs/2410.08288
This paper proposes incentive mechanisms that promote eco-driving in transportation networks with the over-arching objective of minimizing emissions. The transportation system operator provides the drivers with energy-efficient driving guidance throu
Externí odkaz:
http://arxiv.org/abs/2410.07952
Autor:
Zhu, Yuxuan, Wang, Shiyi, Zhong, Wenqing, Shen, Nianchen, Li, Yunqi, Wang, Siqi, Li, Zhiheng, Wu, Cathy, He, Zhengbing, Li, Li
Artificial intelligence (AI) plays a crucial role in autonomous driving (AD) research, propelling its development towards intelligence and efficiency. Currently, the development of AD technology follows two main technical paths: modularization and en
Externí odkaz:
http://arxiv.org/abs/2409.14165
Recent works show that text-to-image generative models are surprisingly vulnerable to a variety of poisoning attacks. Empirical results find that these models can be corrupted by altering associations between individual text prompts and associated vi
Externí odkaz:
http://arxiv.org/abs/2409.12314
Emotions, shaped by past experiences, significantly influence decision-making and goal pursuit. Traditional cognitive-behavioral techniques for personal development rely on mental imagery to envision ideal selves, but may be less effective for indivi
Externí odkaz:
http://arxiv.org/abs/2409.11531
Autonomous driving is a highly anticipated approach toward eliminating roadway fatalities. At the same time, the bar for safety is both high and costly to verify. This work considers the role of remotely-located human operators supervising a fleet of
Externí odkaz:
http://arxiv.org/abs/2409.09500