Zobrazeno 1 - 10
of 15 295
pro vyhledávání: '"A, Gilani"'
We investigate the statistical and computational limits of prompt tuning for transformer-based foundation models. Our key contributions are prompt tuning on \textit{single-head} transformers with only a \textit{single} self-attention layer: (i) is un
Externí odkaz:
http://arxiv.org/abs/2411.16525
Autor:
Shankar, Manjari, Hartner, Anna-Maria, Arnold, Callum R. K., Gayawan, Ezra, Kang, Hyolim, Kim, Jong-Hoon, Gilani, Gemma Nedjati, Cori, Anne, Fu, Han, Jit, Mark, Muloiwa, Rudzani, Portnoy, Allison, Trotter, Caroline, Gaythorpe, Katy A. M.
Mathematical models are established tools to assist in outbreak response. They help characterise complex patterns in disease spread, simulate control options to assist public health authorities in decision-making, and longer-term operational and fina
Externí odkaz:
http://arxiv.org/abs/2410.13923
It is well known that quantum, randomized and deterministic (sequential) query complexities are polynomially related for total boolean functions. We find that significantly larger separations between the parallel generalizations of these measures are
Externí odkaz:
http://arxiv.org/abs/2410.02665
Image restoration and spectral reconstruction are longstanding computer vision tasks. Currently, CNN-transformer hybrid models provide state-of-the-art performance for these tasks. The key common ingredient in the architectural designs of these model
Externí odkaz:
http://arxiv.org/abs/2410.00380
Autor:
Ilyas, Zaid, Saleem, Afsah, Suter, David, Reid, Siobhan, Schousboe, John, Leslie, William, Lewis, Joshua, Gilani, Syed Zulqarnain
Cardiovascular Diseases (CVDs) are the leading cause of death worldwide, taking 17.9 million lives annually. Abdominal Aortic Calcification (AAC) is an established marker for CVD, which can be observed in lateral view Vertebral Fracture Assessment (V
Externí odkaz:
http://arxiv.org/abs/2409.17203
Autor:
Xu, Chenwei, Huang, Yu-Chao, Hu, Jerry Yao-Chieh, Li, Weijian, Gilani, Ammar, Goan, Hsi-Sheng, Liu, Han
We introduce the \textbf{B}i-Directional \textbf{S}parse \textbf{Hop}field Network (\textbf{BiSHop}), a novel end-to-end framework for deep tabular learning. BiSHop handles the two major challenges of deep tabular learning: non-rotationally invariant
Externí odkaz:
http://arxiv.org/abs/2404.03830
We propose an RNN-based efficient Ising model solver, the Criticality-ordered Recurrent Mean Field (CoRMF), for forward Ising problems. In its core, a criticality-ordered spin sequence of an $N$-spin Ising model is introduced by sorting mission-criti
Externí odkaz:
http://arxiv.org/abs/2403.03391
A connected and nonempty graph A is defined as generalized t-edge distance-balanced, while for each edge f={\alpha}\{beta} the number of edges nearer to {\alpha} than \{beta} are equal to t-times of edges nearer to \{beta} than to {\alpha}, for t \in
Externí odkaz:
http://arxiv.org/abs/2312.14863
Autor:
Jaber Najafi, Neda Gilani, Hadi Hassankhani, Mansour Ghafourifard, Abbas Dadashzadeh, Mahnaz Zali
Publikováno v:
International Journal of Emergency Medicine, Vol 17, Iss 1, Pp 1-9 (2024)
Abstract Background Family presence during resuscitation is a controversial issue worldwide. The aim of this study was to investigate the self-confidence and attitudes of Emergency Medical Technicians (EMTs) towards family presence during resuscitati
Externí odkaz:
https://doaj.org/article/0dba17402d254c78ac01222c79ccf557
Autor:
Manjari Shankar, Anna-Maria Hartner, Callum R. K. Arnold, Ezra Gayawan, Hyolim Kang, Jong-Hoon Kim, Gemma Nedjati Gilani, Anne Cori, Han Fu, Mark Jit, Rudzani Muloiwa, Allison Portnoy, Caroline Trotter, Katy A. M. Gaythorpe
Publikováno v:
BMC Infectious Diseases, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Mathematical models are established tools to assist in outbreak response. They help characterise complex patterns in disease spread, simulate control options to assist public health authorities in decision-making, and longer-term operational
Externí odkaz:
https://doaj.org/article/c311fedd430d494dba5274dd7237761f