Zobrazeno 1 - 10
of 2 041
pro vyhledávání: '"Patel Hiren"'
Causal inference methods for observational data are increasingly recognized as a valuable complement to randomized clinical trials (RCTs). They can, under strong assumptions, emulate RCTs or help refine their focus. Our approach to causal inference u
Externí odkaz:
http://arxiv.org/abs/2408.06464
Autor:
Murray, Olivia N, Haroon, Hamied, Ryu, Paul, Patel, Hiren, Harston, George, Wermer, Marieke, Jolink, Wilmar, Hanley, Daniel, Klijn, Catharina, Hammerbeck, Ulrike, Parry-Jones, Adrian, Cootes, Timothy
The preservation of the corticospinal tract (CST) is key to good motor recovery after stroke. The gold standard method of assessing the CST with imaging is diffusion tensor tractography. However, this is not available for most intracerebral haemorrha
Externí odkaz:
http://arxiv.org/abs/2408.06403
Autor:
Zhu, Yiwen, Tian, Yuanyuan, Cahoon, Joyce, Krishnan, Subru, Agarwal, Ankita, Alotaibi, Rana, Camacho-Rodríguez, Jesús, Chundatt, Bibin, Chung, Andrew, Dutta, Niharika, Fogarty, Andrew, Gruenheid, Anja, Haynes, Brandon, Interlandi, Matteo, Iyer, Minu, Jurgens, Nick, Khushalani, Sumeet, Kroth, Brian, Kumar, Manoj, Leeka, Jyoti, Matusevych, Sergiy, Mittal, Minni, Mueller, Andreas, Muthyala, Kartheek, Nagulapalli, Harsha, Park, Yoonjae, Patel, Hiren, Pavlenko, Anna, Poppe, Olga, Ravindran, Santhosh, Saur, Karla, Sen, Rathijit, Suh, Steve, Tarafdar, Arijit, Waghray, Kunal, Wang, Demin, Curino, Carlo, Ramakrishnan, Raghu
Modern cloud has turned data services into easily accessible commodities. With just a few clicks, users are now able to access a catalog of data processing systems for a wide range of tasks. However, the cloud brings in both complexity and opportunit
Externí odkaz:
http://arxiv.org/abs/2405.01813
Autor:
Zhang, Wangda, Interlandi, Matteo, Mineiro, Paul, Qiao, Shi, Lie, Nasim Ghazanfari Karlen, Friedman, Marc, Hosn, Rafah, Patel, Hiren, Jindal, Alekh
Publikováno v:
Proceedings of the 2022 International Conference on Management of Data 2022 Jun 10 (pp. 2299-2311)
Modern analytical workloads are highly heterogeneous and massively complex, making generic query optimizers untenable for many customers and scenarios. As a result, it is important to specialize these optimizers to instances of the workloads. In this
Externí odkaz:
http://arxiv.org/abs/2210.13625
We propose a secure and lightweight key based challenge obfuscation for strong PUFs. Our architecture is designed to be resilient against learning attacks. Our obfuscation mechanism uses non-linear feedback shift registers (NLFSRs). Responses are dir
Externí odkaz:
http://arxiv.org/abs/2207.11181
We design, implement, and assess the security of several variations of the PUF-on-PUF (POP) architecture. We perform extensive experiments with deep neural networks (DNNs), showing results that endorse its resilience to learning attacks when using AP
Externí odkaz:
http://arxiv.org/abs/2206.11840
Strong physical unclonable functions (PUFs) provide a low-cost authentication primitive for resource constrained devices. However, most strong PUF architectures can be modeled through learning algorithms with a limited number of CRPs. In this paper,
Externí odkaz:
http://arxiv.org/abs/2206.03440
Publikováno v:
Physics Letters B 833 (2022) 137371
We discuss the prediction of the $W$ boson mass in a simple extension of the Standard Model ($\Sigma {\rm SM}$) with a real scalar triplet. A shift in the $W$ mass as reported by the CDF II collaboration can naturally be accommodated by the model wit
Externí odkaz:
http://arxiv.org/abs/2204.07144
Autor:
Wu, Zhuanhao, Patel, Hiren
Last-level cache (LLC) partitioning is a technique to provide temporal isolation and low worst-case latency (WCL) bounds when cores access the shared LLC in multicore safety-critical systems. A typical approach to cache partitioning involves allocati
Externí odkaz:
http://arxiv.org/abs/2204.01679