3 papers
stat.AP2025
Sparse Sensor Allocation for Inverse Problems of Detecting Sparse Leaking Emission Sources
Xinchao Liu, Youngdeok Hwang, Dzung Phan +3
This paper investigates the sparse optimal allocation of sensors for detecting sparse leaking emission sources. Because of the non-negativity of emission rates, uncertainty associa…
cs.LG2024
Activations Through Extensions: A Framework To Boost Performance Of Neural Networks
Chandramouli Kamanchi, Sumanta Mukherjee, Kameshwaran Sampath +4
Activation functions are non-linearities in neural networks that allow them to learn complex mapping between inputs and outputs. Typical choices for activation functions are ReLU,…
stat.CO2024
Optimal Sensor Allocation with Multiple Linear Dispersion Processes
Xinchao Liu, Dzung Phan, Youngdeok Hwang +3
This paper considers the optimal sensor allocation for estimating the emission rates of multiple sources in a two-dimensional spatial domain. Locations of potential emission source…