36 citations · 151 across the 8 of their papers we have counts for
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stat.ML2023★ 28 cited
Neural network with optimal neuron activation functions based on additive Gaussian process regression
Sergei Manzhos, Manabu Ihara
Feed-forward neural networks (NN) are a staple machine learning method widely used in many areas of science and technology. While even a single-hidden layer NN is a universal appro…
stat.ML2022★ 12 cited
The loss of the property of locality of the kernel in high-dimensional Gaussian process regression on the example of the fitting of molecular potential energy surfaces
Sergei Manzhos, Manabu Ihara
Kernel based methods including Gaussian process regression (GPR) and generally kernel ridge regression (KRR) have been finding increasing use in computational chemistry, including…