Zobrazeno 1 - 10
of 7 261
pro vyhledávání: '"Rawls A"'
Autor:
Veldanda, Akshaj Kumar, Zhang, Shi-Xiong, Das, Anirban, Chakraborty, Supriyo, Rawls, Stephen, Sahu, Sambit, Naphade, Milind
Large language models (LLMs) have revolutionized various domains, yet their utility comes with significant challenges related to outdated or problematic knowledge embedded during pretraining. This paper addresses the challenge of modifying LLMs to un
Externí odkaz:
http://arxiv.org/abs/2409.13054
Autor:
Rawls, Meredith L., Walker, Constance E., Dadighat, Michelle, Krantz, Harrison, Eggl, Siegfried, Peel, Mike
This Birds-of-a-Feather (BOF) session on 6 November 2023 was organized by leaders and members of SatHub at the International Astronomical Union Centre for the Protection of the Dark and Quiet Sky from Satellite Constellation Interference (IAU CPS). S
Externí odkaz:
http://arxiv.org/abs/2408.15223
Autor:
Eggl, Siegfried, Benkhaldoun, Zouhair, Micheva, Genoveva, Spencer, Samuel T., Stark, David V., Winkel, Benjamin, Rawls, Meredith, Peel, Mike W.
Satellite constellation interference occurs across astronomical disciplines. We present examples of interference from radio and $\gamma$-Ray astronomy to optical and spectroscopic interference in ground-based and space-borne facilities. In particular
Externí odkaz:
http://arxiv.org/abs/2408.15222
The IAU Centre for the Protection of the Dark and Quiet Sky from Satellite Constellation Interference (CPS), established in early 2022 and co-hosted by NSF's NOIRLab and the SKA Observatory, was created to unify efforts to work towards mitigating som
Externí odkaz:
http://arxiv.org/abs/2408.16026
Autor:
Peel, Mike W., Eggl, Siegfried, Rawls, Meredith, Dadighat, Michelle, Benvenuti, Piero, di Vruno, Federico, Walker, Connie
SatHub is one of the four hubs of the IAU Centre for the Protection of the Dark and Quiet Sky from Satellite Constellation Interference (CPS). It focuses on observations, data analysis, software, and training materials to improve our understanding of
Externí odkaz:
http://arxiv.org/abs/2404.18742
We examine the simple model put forth in a recent note by Loeb regarding the brightness of space debris in the size range of 1-10 cm and their impact on the Rubin Observatory Legacy Survey of Space and Time (LSST) transient object searches. Their mai
Externí odkaz:
http://arxiv.org/abs/2403.04942
Designing studies that apply causal discovery requires navigating many researcher degrees of freedom. This complexity is exacerbated when the study involves fMRI data. In this paper we (i) describe nine challenges that occur when applying causal disc
Externí odkaz:
http://arxiv.org/abs/2312.12678
Autor:
Lana M. Chahine, Naomi Louie, J Solle, Fulya Akçimen, Andrew Ameri, Samantha Augenbraun, Sabrina Avripas, Sarah Breaux, Christopher Causey, Shivika Chandra, Marissa Dean, Elizabeth A. Disbrow, Lauren Fanty, Jessica Fernandez, Erin R. Foster, Erin Furr Stimming, Deborah Hall, Vanessa Hinson, Ashani Johnson-Turbes, Cabell Jonas, Camilla Kilbane, Scott A. Norris, Bao-Tran Nguyen, Mahesh Padmanaban, Kimberly Paquette, Carly Parry, Natalia Pessoa Rocha, Ashley Rawls, Ejaz A. Shamim, Lisa M. Shulman, Rebeka Sipma, Julia Staisch, Rami Traurig, Rainer von Coelln, Peter Wild Crea, Tao Xie, Zih-Hua Fang, Alyssa O’Grady, Catherine M. Kopil, Maggie McGuire Kuhl, Andrew Singleton, Cornelis Blauwendraat, Sara Bandres-Ciga, the BLAAC PD Study and the Global Parkinson’s Genetics Program (GP2)
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Determining the genetic contributions to Parkinson’s disease (PD) across diverse ancestries is a high priority as this work can guide therapeutic development in a global setting. The genetics of PD spans the etiological risk spectrum, from
Externí odkaz:
https://doaj.org/article/15c7bceb54b1476f84c1fdcc646a1eef
Publikováno v:
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023, pages 9174-9193
Research on text-to-image generation (TTI) still predominantly focuses on the English language due to the lack of annotated image-caption data in other languages; in the long run, this might widen inequitable access to TTI technology. In this work, w
Externí odkaz:
http://arxiv.org/abs/2305.19216
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
Scaling up weakly-supervised datasets has shown to be highly effective in the image-text domain and has contributed to most of the recent state-of-the-art computer vision and multimodal neural networks. However, existing large-scale video-text datase
Externí odkaz:
http://arxiv.org/abs/2304.02080