Zobrazeno 1 - 10
of 985
pro vyhledávání: '"SHAH, JAY P."'
Attention, as a core layer of the ubiquitous Transformer architecture, is the bottleneck for large language models and long-context applications. FlashAttention elaborated an approach to speed up attention on GPUs through minimizing memory reads/writ
Externí odkaz:
http://arxiv.org/abs/2407.08608
Weakly-supervised diffusion models (DMs) in anomaly segmentation, leveraging image-level labels, have attracted significant attention for their superior performance compared to unsupervised methods. It eliminates the need for pixel-level labels in tr
Externí odkaz:
http://arxiv.org/abs/2404.15683
Autor:
Bikshandi, Ganesh, Shah, Jay
We provide an optimized implementation of the forward pass of FlashAttention-2, a popular memory-aware scaled dot-product attention algorithm, as a custom fused CUDA kernel targeting NVIDIA Hopper architecture and written using the open-source CUTLAS
Externí odkaz:
http://arxiv.org/abs/2312.11918
Autor:
Varshney, Shivasheesh, Choo, Sooho, Thompson, Liam, Yang, Zhifei, Shah, Jay, Wen, Jiaxuan, Koester, Steven J., Mkhoyan, K. Andre, McLeod, Alexander, Jalan, Bharat
The advancement in thin-film exfoliation for synthesizing oxide membranes has opened up new possibilities for creating artificially-assembled heterostructures with structurally and chemically incompatible materials. The sacrificial layer method is a
Externí odkaz:
http://arxiv.org/abs/2311.11448
Age is one of the major known risk factors for Alzheimer's Disease (AD). Detecting AD early is crucial for effective treatment and preventing irreversible brain damage. Brain age, a measure derived from brain imaging reflecting structural changes due
Externí odkaz:
http://arxiv.org/abs/2403.10522
Autor:
Huang, Zhefeng, Gunderman, Anthony L., Wilcox, Samuel E., Sengupta, Saikat, Shah, Jay, Lu, Aiming, Woodrum, David, Chen, Yue
MR-guided microwave ablation (MWA) has proven effective in treating hepatocellular carcinoma (HCC) with small-sized tumors, but the state-of-the-art technique suffers from sub-optimal workflow due to speed and accuracy of needle placement. This paper
Externí odkaz:
http://arxiv.org/abs/2310.07822
Autor:
Wu, Shangfei, Klemm, Mason, Shah, Jay, Ritz, Ethan T., Duan, Chunruo, Teng, Xiaokun, Gao, Bin, Ye, Feng, Matsuda, Masaaki, Li, Fankang, Xu, Xianghan, Yi, Ming, Birol, Turan, Dai, Pengcheng, Blumberg, Girsh
Publikováno v:
Phys. Rev. X 14, 011043 (2024)
Spontaneous symmetry breaking-the phenomenon where an infinitesimal perturbation can cause the system to break the underlying symmetry-is a cornerstone concept in the understanding of interacting solid-state systems. In a typical series of temperatur
Externí odkaz:
http://arxiv.org/abs/2309.14314
Autor:
Siddiquee, Md Mahfuzur Rahman, Shah, Jay, Wu, Teresa, Chong, Catherine, Schwedt, Todd J., Dumkrieger, Gina, Nikolova, Simona, Li, Baoxin
Harnessing the power of deep neural networks in the medical imaging domain is challenging due to the difficulties in acquiring large annotated datasets, especially for rare diseases, which involve high costs, time, and effort for annotation. Unsuperv
Externí odkaz:
http://arxiv.org/abs/2302.09200
Autor:
Siddiquee, Md Mahfuzur Rahman, Shah, Jay, Wu, Teresa, Chong, Catherine, Schwedt, Todd, Li, Baoxin
Automated anomaly detection from medical images, such as MRIs and X-rays, can significantly reduce human effort in disease diagnosis. Owing to the complexity of modeling anomalies and the high cost of manual annotation by domain experts (e.g., radiol
Externí odkaz:
http://arxiv.org/abs/2209.01822
Publikováno v:
In Seminars in Roentgenology October 2024 59(4):418-428
