3 citations · 5 across the 5 of their papers we have counts for
5 papers
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural Networks
Ayush Khot, Xiwei Wang, Avik Roy +2
Current methods commonly used for uncertainty quantification (UQ) in deep learning (DL) models utilize Bayesian methods which are computationally expensive and time-consuming. In t…
Applications of Deep Learning to physics workflows
Manan Agarwal, Jay Alameda, Jeroen Audenaert +65
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…
Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network
Kanya Mo, Shen Zheng, Xiwei Wang +2
The fully connected (FC) layer, one of the most fundamental modules in artificial neural networks (ANN), is often considered difficult and inefficient to train due to issues includ…
Convolution Based Spectral Partitioning Architecture for Hyperspectral Image Classification
Ringo S. W. Chu, Ho-Cheung Ng, Xiwei Wang +1
Hyperspectral images (HSIs) can distinguish materials with high number of spectral bands, which is widely adopted in remote sensing applications and benefits in high accuracy land…
Optimizing CNN-based Hyperspectral Image Classification on FPGAs
Shuanglong Liu, Ringo S. W. Chu, Xiwei Wang +1
Hyperspectral image (HSI) classification has been widely adopted in applications involving remote sensing imagery analysis which require high classification accuracy and real-time…