Zobrazeno 1 - 10
of 109 626
pro vyhledávání: '"A. A. Harper"'
Autor:
Farahani, Mojtaba A., Kalach, Fadi El, Harper, Austin, McCormick, M. R., Harik, Ramy, Wuest, Thorsten
TSF is growing in various domains including manufacturing. Although numerous TSF algorithms have been developed recently, the validation and evaluation of algorithms hold substantial value for researchers and practitioners and are missing. This study
Externí odkaz:
http://arxiv.org/abs/2411.17499
Starkiller: subtracting stars and other sources from IFU spectroscopic data through forward modeling
We present starkiller, an open-source Python package for forward-modeling flux retrieval from integral field unit spectrograph (IFU) datacubes. Starkiller simultaneously provides stellar spectral classification, relative velocity, and line-of-sight e
Externí odkaz:
http://arxiv.org/abs/2411.14705
Autor:
Nakhl, Azar C., Harper, Ben, West, Maxwell, Dowling, Neil, Sevior, Martin, Quella, Thomas, Usman, Muhammad
This work augments the recently introduced Stabilizer Tensor Network (STN) protocol with magic state injection, reporting a new framework with significantly enhanced ability to simulate circuits with an extensive number of non-Clifford operations. Sp
Externí odkaz:
http://arxiv.org/abs/2411.12482
Autor:
Raihan, Ahmed Shoyeb, Harper, Austin, Era, Israt Zarin, Al-Shebeeb, Omar, Wuest, Thorsten, Das, Srinjoy, Ahmed, Imtiaz
Ensuring the quality and reliability of Metal Additive Manufacturing (MAM) components is crucial, especially in the Laser Powder Bed Fusion (L-PBF) process, where melt pool defects such as keyhole, balling, and lack of fusion can significantly compro
Externí odkaz:
http://arxiv.org/abs/2411.10822
This study examines the pitch content in traditional Ghanaian seperewa (Akan harp-lute) songs, utilizing a unique dataset from field recordings of the mid-twentieth century. We selected 71 songs and used Demucs to isolate vocals from instrumental tra
Externí odkaz:
http://arxiv.org/abs/2411.08234
In this paper, we analyze the question of replica symmetry in the bulk for multi-partite entanglement measures in the vacuum state of two dimensional holographic CFTs. We first define a class of multi-partite local unitary invariants, multi-invariant
Externí odkaz:
http://arxiv.org/abs/2411.00935
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:
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