125 citations · 362 across the 24 of their papers we have counts for
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cs.LG2023
Moderate Adaptive Linear Units (MoLU)
Hankyul Koh, Joon-hyuk Ko, Wonho Jhe
We propose the Moderate Adaptive Linear Unit (MoLU), a novel activation function for deep neural networks, defined analytically as: f(x)=x \times (1+tanh(x))/2. MoLU combines mathe…
cs.LG2022★ 2 cited
Homotopy-based training of NeuralODEs for accurate dynamics discovery
Joon-Hyuk Ko, Hankyul Koh, Nojun Park +1
Neural Ordinary Differential Equations (NeuralODEs) present an attractive way to extract dynamical laws from time series data, as they bridge neural networks with the differential…
cs.LG2020
Bayesian neural network with pretrained protein embedding enhances prediction accuracy of drug-protein interaction
QHwan Kim, Joon-Hyuk Ko, Sunghoon Kim +2
The characterization of drug-protein interactions is crucial in the high-throughput screening for drug discovery. The deep learning-based approaches have attracted attention becaus…