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pro vyhledávání: '"Ong, A"'
Autor:
Brinkman, Casey L., Weiss, Lauren M., Huber, Daniel, Lee, Rena A., Kolecki, Jared, Tenn, Gwyneth, Zhang, Jingwen, Narayanan, Suchitra, Polanski, Alex S., Dai, Fei, Bean, Jacob L., Beard, Corey, Brady, Madison, Brodheim, Max, Brown, Matt, Deich, William, Edelstein, Jerry, Fulton, Benjamin J., Giacalone, Steven, Gibson, Steven R., Gilbert, Gregory J., Halverson, Samuel, Handley, Luke, Hill, Grant M., Holcomb, Rae, Holden, Bradford, Householder, Aaron, Howard, Andrew W., Isaacson, Howard, Kaye, Stephen, Laher, Russ R., Lanclos, Kyle, Ong, J. M. Joel, Payne, Joel, Petigura, Eric A., Pidhorodetska, Daria, Poppett, Claire, Roy, Arpita, Rubenzahl, Ryan, Saunders, Nicholas, Schwab, Christian, Seifahrt, Andreas, Shaum, Abby P., Sirk, Martin M., Smith, Chris, Smith, Roger, Stefánsson, Guðmundur, Stürmer, Julian, Thorne, Jim, Turtelboom, Emma V., Tyler, Dakotah, Valliant, John, Van Zandt, Judah, Walawender, Josh, Yee, Samuel W., Yeh, Sherry, Zink, Jon
Hundreds of exoplanets between 1-1.8 times the size of the Earth have been discovered on close in orbits. However, these planets show such a diversity in densities that some appear to be made entirely of iron, while others appear to host gaseous enve
Externí odkaz:
http://arxiv.org/abs/2410.00213
Autor:
Chae, Hyungjoo, Kwon, Taeyoon, Moon, Seungjun, Song, Yongho, Kang, Dongjin, Ong, Kai Tzu-iunn, Kwak, Beong-woo, Bae, Seonghyeon, Hwang, Seung-won, Yeo, Jinyoung
This paper presents Coffee-Gym, a comprehensive RL environment for training models that provide feedback on code editing. Coffee-Gym includes two major components: (1) Coffee, a dataset containing humans' code edit traces for coding questions and mac
Externí odkaz:
http://arxiv.org/abs/2409.19715
We propose a framework for active mapping and exploration that leverages Gaussian splatting for constructing information-rich maps. Further, we develop a parallelized motion planning algorithm that can exploit the Gaussian map for real-time navigatio
Externí odkaz:
http://arxiv.org/abs/2409.18122
Autor:
Atthaphan, Ek-ong, Kaewsnod, Attaphon, Xu, Kai, Aung, Moh Moh, Sreethawong, Warintorn, Limphirat, Ayut, Yan, Yupeng
We explore the meson cloud contribution to nucleon electromagnetic form factors in dispersion relation approach. In our calculations, experimental data on transition amplitudes for pion-nucleon scatterings are taken directly as inputs, with the assum
Externí odkaz:
http://arxiv.org/abs/2409.17492
Autor:
Wei, Yishu, Wang, Xindi, Ong, Hanley, Zhou, Yiliang, Flanders, Adam, Shih, George, Peng, Yifan
Despite significant progress in applying large language models (LLMs) to the medical domain, several limitations still prevent them from practical applications. Among these are the constraints on model size and the lack of cohort-specific labeled dat
Externí odkaz:
http://arxiv.org/abs/2409.16563
Autor:
Zhong, Junru, Yao, Yongcheng, Xiao, Fan, Ong, Tim-Yun Michael, Ho, Ki-Wai Kevin, Li, Siyue, Huang, Chaoxing, Chan, Queenie, Griffith, James F., Chen, Weitian
Objective: To establish an automated pipeline for post-processing of quantitative spin-lattice relaxation time constant in the rotating frame ($T_{1\rho}$) imaging of knee articular cartilage. Design: The proposed post-processing pipeline commences w
Externí odkaz:
http://arxiv.org/abs/2409.12600
Autor:
Gandhi, Kanishk, Lynch, Zoe, Fränken, Jan-Philipp, Patterson, Kayla, Wambu, Sharon, Gerstenberg, Tobias, Ong, Desmond C., Goodman, Noah D.
Understanding emotions is fundamental to human interaction and experience. Humans easily infer emotions from situations or facial expressions, situations from emotions, and do a variety of other affective cognition. How adept is modern AI at these in
Externí odkaz:
http://arxiv.org/abs/2409.11733
Modelling longitudinal data is an important yet challenging task. These datasets can be high-dimensional, contain non-linear effects and time-varying covariates. Gaussian process (GP) prior-based variational autoencoders (VAEs) have emerged as a prom
Externí odkaz:
http://arxiv.org/abs/2409.11008
We present a hierarchical architecture to improve the efficiency of event-triggered control (ETC) in reducing resource consumption. This paper considers event-triggered systems generally as an impulsive control system in which the objective is to min
Externí odkaz:
http://arxiv.org/abs/2409.09812
Cyber-physical systems can be subject to sensor attacks, e.g., sensor spoofing, leading to unsafe behaviors. This paper addresses this problem in the context of linear systems when an omniscient attacker can spoof several system sensors at will. In t
Externí odkaz:
http://arxiv.org/abs/2409.08413