Aku Kammonen

According to our database, Aku Kammonen authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An Adaptive Random Fourier Features approach Applied to Learning Stochastic Differential Equations.

Owen Douglas, Aku Kammonen, Anamika Pandey, Raúl Tempone

CoRR, July, 2025

2024

Adaptive Random Fourier Features Training Stabilized By Resampling With Applications in Image Regression.

Aku Kammonen, Anamika Pandey, Erik von Schwerin, Raúl Tempone

CoRR, 2024

Comparing Spectral Bias and Robustness For Two-Layer Neural Networks: SGD vs Adaptive Random Fourier Features.

Aku Kammonen, Lisi Liang, Anamika Pandey, Raúl Tempone

CoRR, 2024

2021

Numerical algorithms for high dimensional integration with application to machine learning and molecular dynamics.

Aku Kammonen

PhD thesis, 2021

2020

Smaller generalization error derived for deep compared to shallow residual neural networks.

Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy, Raúl Tempone

CoRR, 2020

Adaptive random Fourier features with Metropolis sampling.

Aku Kammonen, Jonas Kiessling, Petr Plechác, Mattias Sandberg, Anders Szepessy

CoRR, 2020