Zobrazeno 1 - 10
of 32 153
pro vyhledávání: '"Doughty A"'
Autor:
Dib, Sami, Zhou, Jian Wen, Comerón, Sébastien, Garduño, Luis E., Kravtsov, Valery V., Clark, Paul C., Li, Guang-Xing, Lara-López, Maritza A., Liu, Tie, Shadmehri, Mohsen, Doughty, James R.
Star formation estimates based on the counting of YSOs is commonly applied to nearby star-forming regions in the Galaxy. With this method, the SFRs are measured using the counts of YSOs in a particular protostellar Class, a typical protostellar mass,
Externí odkaz:
http://arxiv.org/abs/2405.00095
Autor:
Agarwal, Arav, Mittal, Karthik, Doyle, Aidan, Sridhar, Pragnya, Wan, Zipiao, Doughty, Jacob Arthur, Savelka, Jaromir, Sakr, Majd
We conduct a preliminary study of the effect of GPT's temperature parameter on the diversity of GPT4-generated questions. We find that using higher temperature values leads to significantly higher diversity, with different temperatures exposing diffe
Externí odkaz:
http://arxiv.org/abs/2404.09366
Autor:
Kareev, Mikhail, Liu, Xiaoran, Terilli, Michael, Wen, Fangdi, Wu, Tsung-Chi, Doughty, Dorothy, Li, Hongze, Zhou, Jianshi, Zhang, Qinghua, Gu, Lin, Chakhalian, Jak
The synthesis of stoichiometric and epitaxial pyrochlore iridate thin films presents significant challenges yet is critical for unlocking experimental access to novel topological and magnetic states. Towards this goal, we unveil an in-situ two-stage
Externí odkaz:
http://arxiv.org/abs/2403.07861
Low-resource settings are well-established in natural language processing, where many languages lack sufficient data for deep learning at scale. However, low-resource problems are under-explored in computer vision. In this paper, we address this gap
Externí odkaz:
http://arxiv.org/abs/2401.04716
Autor:
Doughty, Jacob, Wan, Zipiao, Bompelli, Anishka, Qayum, Jubahed, Wang, Taozhi, Zhang, Juran, Zheng, Yujia, Doyle, Aidan, Sridhar, Pragnya, Agarwal, Arav, Bogart, Christopher, Keylor, Eric, Kultur, Can, Savelka, Jaromir, Sakr, Majd
There is a constant need for educators to develop and maintain effective up-to-date assessments. While there is a growing body of research in computing education on utilizing large language models (LLMs) in generation and engagement with coding exerc
Externí odkaz:
http://arxiv.org/abs/2312.03173
The epoch of hydrogen reionization is complete by $z=5$, but its progression at higher redshifts is uncertain. Measurements of Ly$\alpha$ forest opacity show large scatter at $z<6$, suggestive of spatial fluctuations in neutral fraction ($x_\mathrm{H
Externí odkaz:
http://arxiv.org/abs/2312.01480
In the quest for unveiling novel categories at test time, we confront the inherent limitations of traditional supervised recognition models that are restricted by a predefined category set. While strides have been made in the realms of self-supervise
Externí odkaz:
http://arxiv.org/abs/2310.19776
Local feature detection and description play an important role in many computer vision tasks, which are designed to detect and describe keypoints in "any scene" and "any downstream task". Data-driven local feature learning methods need to rely on pix
Externí odkaz:
http://arxiv.org/abs/2309.16992
Multimodal learning assumes all modality combinations of interest are available during training to learn cross-modal correspondences. In this paper, we challenge this modality-complete assumption for multimodal learning and instead strive for general
Externí odkaz:
http://arxiv.org/abs/2306.12795
Publikováno v:
Geomechanics and Geophysics for Geo-Energy and Geo-Resources, Vol 10, Iss 1, Pp 1-25 (2024)
Abstract This study explores the geochemical reactions that can cause permeability loss in hydraulically fractured reservoirs. The experiments involved the reaction of powdered-rock samples with produced brines in batch reactor system at temperature
Externí odkaz:
https://doaj.org/article/b845e83cdd4e4355a5ce88977ab58c94