Zobrazeno 1 - 10
of 557 541
pro vyhledávání: '"Ellen, A."'
Autor:
Ellen, Faith, Sela, Gal
Strongly-linearizable objects are valuable building blocks for the design of concurrent data structures. Yet, many objects that have linearizable implementations from some set of objects do not have strongly-linearizable implementations from that set
Externí odkaz:
http://arxiv.org/abs/2411.19365
Autor:
Abel, Elliott, Crevasse, Peyton, Grinspan, Yvan, Mazioud, Selma, Ogundipe, Folu, Reimann, Kristof, Schueler, Ellie, Steindl, Andrew J., Zhang, Ellen, Bhaskar, Dhananjay, Viswanath, Siddharth, Zhang, Yanlei, Rudner, Tim G. J., Adelstein, Ian, Krishnaswamy, Smita
Drawing motivation from the manifold hypothesis, which posits that most high-dimensional data lies on or near low-dimensional manifolds, we apply manifold learning to the space of neural networks. We learn manifolds where datapoints are neural networ
Externí odkaz:
http://arxiv.org/abs/2411.12626
Test collections are information retrieval tools that allow researchers to quickly and easily evaluate ranking algorithms. While test collections have become an integral part of IR research, the process of data creation involves significant efforts i
Externí odkaz:
http://arxiv.org/abs/2411.06877
Hypoxic-Ischemic Encephalopathy (HIE) affects 1 to 5 out of every 1,000 newborns, with 30% to 50% of cases resulting in adverse neurocognitive outcomes. However, these outcomes can only be reliably assessed as early as age 2. Therefore, early and acc
Externí odkaz:
http://arxiv.org/abs/2411.05188
A yet unmet challenge in algorithmic fairness is the problem of intersectionality, that is, achieving fairness across the intersection of multiple groups -- and verifying that such fairness has been attained. Because intersectional groups tend to be
Externí odkaz:
http://arxiv.org/abs/2411.02569
Autor:
Dey, Neel, Billot, Benjamin, Wong, Hallee E., Wang, Clinton J., Ren, Mengwei, Grant, P. Ellen, Dalca, Adrian V., Golland, Polina
Current volumetric biomedical foundation models struggle to generalize as public 3D datasets are small and do not cover the broad diversity of medical procedures, conditions, anatomical regions, and imaging protocols. We address this by creating a re
Externí odkaz:
http://arxiv.org/abs/2411.02372
Autor:
Bao, Rina, Darzi, Erfan, He, Sheng, Hsiao, Chuan-Heng, Hussain, Mohammad Arafat, Li, Jingpeng, Bjornerud, Atle, Grant, Ellen, Ou, Yangming
Foundation models refer to artificial intelligence (AI) models that are trained on massive amounts of data and demonstrate broad generalizability across various tasks with high accuracy. These models offer versatile, one-for-many or one-for-all solut
Externí odkaz:
http://arxiv.org/abs/2411.02745
Autor:
Myers, Samuel A., Howell, Ellen S., Magri, Christopher, Vervack Jr., Ronald J., Fernández, Yanga R., Hinkle, Mary L., Marshall, Sean E.
Publikováno v:
Planet. Sci. J. 5 238 (2024)
Understanding the properties of near-Earth asteroids (NEAs) is key for many aspects of planetary science, particularly planetary defense. Our current knowledge of NEA sizes and regolith properties is heavily dependent on simple thermal models. These
Externí odkaz:
http://arxiv.org/abs/2410.24101
Autor:
Niyogi, Pratim Guha, Sanjayan, Muraleetharan, Fitzgerald, Kathryn C., Mowry, Ellen M., Zipunnikov, Vadim
Research on modeling the distributional aspects in sensor-based digital health (sDHT) data has grown significantly in recent years. Most existing approaches focus on using individual-specific density or quantile functions. However, there has been lim
Externí odkaz:
http://arxiv.org/abs/2410.20620
We investigate the 1D plane-parallel front connecting the warm ($10^4$ K) and hot ($10^6$ K) phases of the circumgalactic medium (CGM), focusing on the influence of cosmic rays (CRs) in shaping these transition layers. We find that cosmic rays dictat
Externí odkaz:
http://arxiv.org/abs/2410.17252