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pro vyhledávání: '"P Harper"'
Synthesizing high-quality tabular data is an important topic in many data science tasks, ranging from dataset augmentation to privacy protection. However, developing expressive generative models for tabular data is challenging due to its inherent het
Externí odkaz:
http://arxiv.org/abs/2410.20626
Autor:
George, Hubert C., Mądzik, Mateusz T., Henry, Eric M., Wagner, Andrew J., Islam, Mohammad M., Borjans, Felix, Connors, Elliot J., Corrigan, Joelle, Curry, Matthew, Harper, Michael K., Keith, Daniel, Lampert, Lester, Luthi, Florian, Mohiyaddin, Fahd A., Murcia, Sandra, Nair, Rohit, Nahm, Rambert, Nethwewala, Aditi, Neyens, Samuel, Raharjo, Roy D., Rogan, Carly, Savytskyy, Rostyslav, Watson, Thomas F., Ziegler, Josh, Zietz, Otto K., Pillarisetty, Ravi, Bishop, Nathaniel C., Bojarski, Stephanie A., Roberts, Jeanette, Clarke, James S.
Intels efforts to build a practical quantum computer are focused on developing a scalable spin-qubit platform leveraging industrial high-volume semiconductor manufacturing expertise and 300 mm fabrication infrastructure. Here, we provide an overview
Externí odkaz:
http://arxiv.org/abs/2410.16583
Autor:
Rizvi, Naba, Strickland, Harper, Gitelman, Daniel, Cooper, Tristan, Morales-Flores, Alexis, Golden, Michael, Kallepalli, Aekta, Alurkar, Akshat, Owens, Haaset, Ahmedi, Saleha, Khirwadkar, Isha, Munyaka, Imani, Ousidhoum, Nedjma
As our understanding of autism and ableism continues to increase, so does our understanding of ableist language towards autistic people. Such language poses a significant challenge in NLP research due to its subtle and context-dependent nature. Yet,
Externí odkaz:
http://arxiv.org/abs/2410.16520
Autor:
Harper, Adam J.
We give a short review of recent progress on determining the order of magnitude of moments $\mathbb{E}|\sum_{n \leq x} f(n)|^{2q}$ of random multiplicative functions, and of closely related issues. We hope this can serve as a concise introduction to
Externí odkaz:
http://arxiv.org/abs/2410.11523
Autor:
Carrow, Stephen, Erwin, Kyle Harper, Vilenskaia, Olga, Ram, Parikshit, Klinger, Tim, Khan, Naweed Aghmad, Makondo, Ndivhuwo, Gray, Alexander
Recent advances in machine learning have led to a surge in adoption of neural networks for various tasks, but lack of interpretability remains an issue for many others in which an understanding of the features influencing the prediction is necessary
Externí odkaz:
http://arxiv.org/abs/2410.07966
Modern computing systems are capable of exascale calculations, which are revolutionizing the development and application of high-fidelity numerical models in computational science and engineering. While these systems continue to grow in processing po
Externí odkaz:
http://arxiv.org/abs/2410.07646
For a group $G$, a subgroup $U \leq G$ and a group $\mathrm{Inn}(G) \leq A \leq \mathrm{Aut}(G)$, we say that $U$ is an $A$-covering group of $G$ if $G = \bigcup_{a\in A}U^a$. A theorem of Jordan (1872) implies that if $G$ is a finite group, $A = \ma
Externí odkaz:
http://arxiv.org/abs/2410.02569
This paper presents the development of a new entropy-based feature selection method for identifying and quantifying impacts. Here, impacts are defined as statistically significant differences in spatio-temporal fields when comparing datasets with and
Externí odkaz:
http://arxiv.org/abs/2409.18011
One great challenge of modeling granular systems lies in capturing the rheologic dependencies on scale. For example, there are marked differences between quasi-static, intermediate, and rapid flow regimes. In this study, we demonstrate that assumptio
Externí odkaz:
http://arxiv.org/abs/2409.13633
Autor:
MacLeod, Morgan, Blunt, Sarah, De Rosa, Robert J., Dupree, Andrea K., Granzer, Thomas, Harper, Graham M., Huang, Caroline D., Leiner, Emily M., Loeb, Abraham, Nielsen, Eric L., Strassmeier, Klaus G., Wang, Jason J., Weber, Michael
We examine a century of radial velocity, visual magnitude, and astrometric observations of the nearest red supergiant, Betelgeuse, in order to reexamine the century-old assertion that Betelgeuse might be a spectroscopic binary. These data reveal Bete
Externí odkaz:
http://arxiv.org/abs/2409.11332