Zobrazeno 1 - 10
of 104 789
pro vyhledávání: '"A., Usman"'
Autor:
Ti, Changpeng, Hassan, Usman, Vatsavai, Sairam Sri, McCarter, Margaret, Vasdev, Aastha, An, Jincheng, Achinuq, Barat, Welp, Ulrich, Cheung, Sen-Ching, Thakkar, Ishan G, Hastings, J. Todd
Patterned nanomagnet arrays (PNAs) have been shown to exhibit a strong geometrically frustrated dipole interaction. Some PNAs have also shown emergent domain wall dynamics. Previous works have demonstrated methods to physically probe these magnetizat
Externí odkaz:
http://arxiv.org/abs/2412.04622
The surface code family is a promising approach to implementing fault-tolerant quantum computations by providing the desired reliability via scaling the code size. For universal fault-tolerance requiring logical non-Clifford quantum operations in add
Externí odkaz:
http://arxiv.org/abs/2412.01446
Autor:
Peppin, Aidan, Reuel, Anka, Casper, Stephen, Jones, Elliot, Strait, Andrew, Anwar, Usman, Agrawal, Anurag, Kapoor, Sayash, Koyejo, Sanmi, Pellat, Marie, Bommasani, Rishi, Frosst, Nick, Hooker, Sara
To accurately and confidently answer the question 'could an AI model or system increase biorisk', it is necessary to have both a sound theoretical threat model for how AI models or systems could increase biorisk and a robust method for testing that t
Externí odkaz:
http://arxiv.org/abs/2412.01946
Machine unlearning is gaining increasing attention as a way to remove adversarial data poisoning attacks from already trained models and to comply with privacy and AI regulations. The objective is to unlearn the effect of undesired data from a traine
Externí odkaz:
http://arxiv.org/abs/2412.00761
Autor:
Ramzan, Muhammad Umer, Khaddim, Wahab, Rana, Muhammad Ehsan, Ali, Usman, Ali, Manohar, Hassan, Fiaz ul, Mehmood, Fatima
This research paper addresses the significant challenge of accurately estimating poverty levels using deep learning, particularly in developing regions where traditional methods like household surveys are often costly, infrequent, and quickly become
Externí odkaz:
http://arxiv.org/abs/2411.19690
Autor:
Ramzan, Muhammad Umer, Zia, Ali, Khamis, Abdelwahed, Elgharabawy, yman, Liaqat, Ahmad, Ali, Usman
This paper presents a novel deep-learning framework that significantly enhances the transformation of rudimentary face sketches into high-fidelity colour images. Employing a Convolutional Block Attention-based Auto-encoder Network (CA2N), our approac
Externí odkaz:
http://arxiv.org/abs/2411.19005
Autor:
Syed, Usman, Cunico, Federico, Khan, Uzair, Radicchi, Eros, Setti, Francesco, Speghini, Adolfo, Marone, Paolo, Semenzin, Filiberto, Cristani, Marco
In this position paper, we propose an approach for sustainable data collection in the field of optimal mix design for marble sludge reuse. Marble sludge, a calcium-rich residual from stone-cutting processes, can be repurposed by mixing it with variou
Externí odkaz:
http://arxiv.org/abs/2411.13953
Autor:
Chishtie, Farrukh A., Brunet, Dominique, White, Rachel H., Michelson, Daniel, Jiang, Jing, Lucas, Vicky, Ruboonga, Emily, Imaash, Sayana, Westland, Melissa, Chui, Timothy, Ali, Rana Usman, Hassan, Mujtaba, Stull, Roland, Hudak, David
Heatwaves, prolonged periods of extreme heat, have intensified in frequency and severity due to climate change, posing substantial risks to public health, ecosystems, and infrastructure. Despite advancements in Machine Learning (ML) modeling, accurat
Externí odkaz:
http://arxiv.org/abs/2411.13496
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:
Khalid, Muhammad Usman
Sparse principal component analysis (sPCA) enhances the interpretability of principal components (PCs) by imposing sparsity constraints on loading vectors (LVs). However, when used as a precursor to independent component analysis (ICA) for blind sour
Externí odkaz:
http://arxiv.org/abs/2411.12321