Zobrazeno 1 - 10
of 29 047
pro vyhledávání: '"A. A. Schiff"'
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 38. No. 21. 2024
This article presents the Political Deepfakes Incidents Database (PDID), a collection of politically-salient deepfakes, encompassing synthetically-created videos, images, and less-sophisticated `cheapfakes.' The project is driven by the rise of gener
Externí odkaz:
http://arxiv.org/abs/2409.15319
Autor:
Sahoo, Subham Sekhar, Arriola, Marianne, Schiff, Yair, Gokaslan, Aaron, Marroquin, Edgar, Chiu, Justin T, Rush, Alexander, Kuleshov, Volodymyr
While diffusion models excel at generating high-quality images, prior work reports a significant performance gap between diffusion and autoregressive (AR) methods in language modeling. In this work, we show that simple masked discrete diffusion is mo
Externí odkaz:
http://arxiv.org/abs/2406.07524
Publikováno v:
IFIP Networking 2018
Software-defined networking is considered a promising new paradigm, enabling more reliable and formally verifiable communication networks. However, this paper shows that the separation of the control plane from the data plane, which lies at the heart
Externí odkaz:
http://arxiv.org/abs/2403.01878
Future network services present a significant challenge for network providers due to high number and high variety of co-existing requirements. Despite many advancements in network architectures and management schemes, congested network links continue
Externí odkaz:
http://arxiv.org/abs/2403.00590
Autor:
Ulyshen, Michael, Adams, Cory, Adams, Jacqui, Adams, Susan B., Bland, Mickey, Bragg, Don C., Burdine, Chuck, Callaham, Mac A., Chaney, Richard, Chapman, Gregg, Clinton, Patsy, Dixon, Cinnamon, Floyd, Jacob, Jordan, Phillip, Keyser, Tara, Laseter, Stephanie, Mallinger, Rachel, McDaniel, Virginia, Mudder, Bryan, Nelson, C. Dana, Odanaka, Katherine, Oishi, A. Christopher, Reid, Shawna, Reynolds, Samm, Robertson, Kevin, Saenz, Daniel, Sayer, Mary Anne, Schiff, Nathan, Scholtens, Brian, Scott, Joel, Spetich, Martin, Taylor, Melanie K., Willis, John L., Young, Andrew D.
Publikováno v:
Diversity and Distributions, 2024 Aug 01. 30(8), 1-13.
Externí odkaz:
https://www.jstor.org/stable/48780052
Autor:
Chavan, Rugved, Hyman, Gabriel, Qureshi, Zoraiz, Jayakumar, Nivetha, Terrell, William, Berr, Stuart, Schiff, David, Wardius, Megan, Fountain, Nathan, Muttikkal, Thomas, Quigg, Mark, Zhang, Miaomiao, Kundu, Bijoy
Dynamic 2-[18F] fluoro-2-deoxy-D-glucose positron emission tomography (dFDG-PET) for human brain imaging has considerable clinical potential, yet its utilization remains limited. A key challenge in the quantitative analysis of dFDG-PET is characteriz
Externí odkaz:
http://arxiv.org/abs/2402.03414
The performance of automatic summarization models has improved dramatically in recent years. Yet, there is still a gap in meeting specific information needs of users in real-world scenarios, particularly when a targeted summary is sought, such as in
Externí odkaz:
http://arxiv.org/abs/2312.04440
Autor:
Eleanor Klibaner-Schiff, Elisabeth M. Simonin, Cezmi A. Akdis, Ana Cheong, Mary M. Johnson, Margaret R. Karagas, Sarah Kirsh, Olivia Kline, Maitreyi Mazumdar, Emily Oken, Vanitha Sampath, Nicholas Vogler, Xiaobin Wang, Kari C. Nadeau
Publikováno v:
Clinical Epigenetics, Vol 16, Iss 1, Pp 1-13 (2024)
Abstract Epigenetic modifications control gene expression and are essential for turning genes on and off to regulate and maintain differentiated cell types. Epigenetics are also modified by a multitude of environmental exposures, including diet and p
Externí odkaz:
https://doaj.org/article/e98cfaea041c460d929ffd2022d2c386
Autor:
Wang, Yingheng, Schiff, Yair, Gokaslan, Aaron, Pan, Weishen, Wang, Fei, De Sa, Christopher, Kuleshov, Volodymyr
While diffusion models excel at generating high-quality samples, their latent variables typically lack semantic meaning and are not suitable for representation learning. Here, we propose InfoDiffusion, an algorithm that augments diffusion models with
Externí odkaz:
http://arxiv.org/abs/2306.08757
Autor:
Rasin, Alexander G., Schiff, Jeremy
We explore the application of generating symmetries, i.e. symmetries that depend on a parameter, to integrable hyperbolic third order equations, and in particular to consistent pairs of such equations as introduced by Adler and Shabat (AS). Our main
Externí odkaz:
http://arxiv.org/abs/2306.06988