 Robust Deep Network Learning of Nonlinear Regression Tasks by Parametric Leaky Exponential Linear Units (LELUs) and a Diffusion MetricInformation Sciences (Inf. Sci.), 2025 |
Do We Always Need the Simplicity Bias? Looking for Optimal Inductive Biases in the WildComputer Vision and Pattern Recognition (CVPR), 2025 |
 How important are activation functions in regression and classification?
A survey, performance comparison, and future directionsJournal of Machine Learning for Modeling and Computing (JMLMC), 2022 |
 Learning the Proximity Operator in Unfolded ADMM for Phase RetrievalIEEE Signal Processing Letters (SPL), 2022 |
 Curvature-based Feature Selection with Application in Classifying
Electronic Health RecordsTechnological forecasting & social change (TFSC), 2021 |
 A survey on modern trainable activation functionsNeural Networks (NN), 2020 |
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