no code implementations • 25 Apr 2024 • MD Kamran Chowdhury Shisher, Yin Sun, I-Hong Hou
In addition, we design low-complexity scheduling policies to improve inference performance.
1 code implementation • 15 Aug 2022 • MD Kamran Chowdhury Shisher, Yin Sun
To minimize the inference error in real-time, we propose a new "selection-from-buffer" model for sending the features, which is more general than the "generate-at-will" model used in earlier studies.
no code implementations • 9 Feb 2022 • MD Kamran Chowdhury Shisher, Tasmeen Zaman Ornee, Yin Sun
In this paper, we present a local geometric analysis to interpret how deep feedforward neural networks extract low-dimensional features from high-dimensional data.
no code implementations • 27 Feb 2021 • MD Kamran Chowdhury Shisher, Heyang Qin, Lei Yang, Feng Yan, Yin Sun
In these applications, a neural network is trained to predict a time-varying target (e. g., solar power), based on multiple correlated features (e. g., temperature, humidity, and cloud coverage).