Zobrazeno 1 - 10
of 410 481
pro vyhledávání: '"A, Omar"'
The telecommunications industry's rapid evolution demands intelligent systems capable of managing complex networks and adapting to emerging technologies. While large language models (LLMs) show promise in addressing these challenges, their deployment
Externí odkaz:
http://arxiv.org/abs/2411.02617
Task-oriented semantic communication systems have emerged as a promising approach to achieving efficient and intelligent data transmission, where only information relevant to a specific task is communicated. However, existing methods struggle to full
Externí odkaz:
http://arxiv.org/abs/2410.22784
Autor:
Ahmed, Fatimaelzahraa Ali, Yousef, Mahmoud, Ahmed, Mariam Ali, Ali, Hasan Omar, Mahboob, Anns, Ali, Hazrat, Shah, Zubair, Aboumarzouk, Omar, Ansari, Abdulla Al, Balakrishnan, Shidin
Applying deep learning (DL) for annotating surgical instruments in robot-assisted minimally invasive surgeries (MIS) represents a significant advancement in surgical technology. This systematic review examines 48 studies that and advanced DL methods
Externí odkaz:
http://arxiv.org/abs/2410.07269
It has long been believed that the atomic dynamics in disordered structures, such as undercooled liquids and pre-melted interfaces, are characterized by collective atomic rearrangements in the form of quasi-one-dimensional chains of atomic displaceme
Externí odkaz:
http://arxiv.org/abs/2411.14610
Autor:
Evans, Daniel, Omar, Ahmad K.
The crystallization of hard spheres at equilibrium is perhaps the most familiar example of an entropically-driven phase transition. In recent years, it has become clear that activity can dramatically alter this order-disorder transition in unexpected
Externí odkaz:
http://arxiv.org/abs/2411.14536
Autor:
Wagner, Julian, Bernhardt, Robin, Rieland, Lukas, Abdul-Aziz, Omar, Li, Qiuyang, Zhu, Xiaoyang, Conte, Stefano Dal, Cerullo, Giulio, van Loosdrecht, Paul H. M., Hedayat, Hamoon
We use helicity-resolved ultrafast transient absorption spectroscopy to study spin-valley polarization dynamics in a vertically stacked MoSe$_{2}$/WSe$_{2}$ heterostructure. The experimental findings reveal details of interlayer charge transfer on ul
Externí odkaz:
http://arxiv.org/abs/2411.14180
Autor:
Manoorkar, Sojwal, Pakkaner, Gülce Kalyoncu, Omar, Hamdi, Barbaix, Soetkin, Ceursters, Dominique, Lathinis, Maxime, Van Offenwert, Stefanie, Bultreys, Tom
Underground hydrogen storage in saline aquifers is a potential solution for seasonal renewable energy storage. Among potential storage sites, facilities used for underground natural gas storage have advantages, including well-characterized cyclical i
Externí odkaz:
http://arxiv.org/abs/2411.14122
Autor:
Cao, Lianghao, Chen, Joshua, Brennan, Michael, O'Leary-Roseberry, Thomas, Marzouk, Youssef, Ghattas, Omar
We present LazyDINO, a transport map variational inference method for fast, scalable, and efficiently amortized solutions of high-dimensional nonlinear Bayesian inverse problems with expensive parameter-to-observable (PtO) maps. Our method consists o
Externí odkaz:
http://arxiv.org/abs/2411.12726
Autor:
Jacob, Mathew, Lindgren, Erik, Zaharia, Matei, Carbin, Michael, Khattab, Omar, Drozdov, Andrew
Rerankers, typically cross-encoders, are often used to re-score the documents retrieved by cheaper initial IR systems. This is because, though expensive, rerankers are assumed to be more effective. We challenge this assumption by measuring reranker p
Externí odkaz:
http://arxiv.org/abs/2411.11767
In context learning (ICL) is an attractive method of solving a wide range of problems. Inspired by Garg et al. (2022), we look closely at ICL in a variety of train and test settings for several transformer models of different sizes trained from scrat
Externí odkaz:
http://arxiv.org/abs/2411.11465