Publications

Kernel Learning with Adversarial Features: Numerical Efficiency and Adaptive Regularization
Antônio H. Ribeiro, David Vävinggren, Dave Zachariah, Thomas B. Schön, Francis Bach
NeurIPS, 2025
Code

Applying Multivariate Time Series Data and Deep Learning to Probability of Default Estimation
David Vävinggren, Emil Säll
Master’s thesis, 2024