Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes. - Felix Jimenez 002; Matthias Katzfuss (AISTATS, 2023)

Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization. - Jian Cao 004; Myeongjong Kang; Felix Jimenez 002; Huiyan Sang; Florian Tobias Schaefer; Matthias Katzfuss (ICML, 2023)

Variational sparse inverse Cholesky approximation for latent Gaussian processes via double Kullback-Leibler minimization. - Jian Cao 004; Myeongjong Kang; Felix Jimenez 002; Huiyan Sang; Florian Schäfer 001; Matthias Katzfuss (CoRR, 2023)

Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks. - Felix Jimenez 002; Matthias Katzfuss (AISTATS, 2025)

Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks. - Felix Jimenez 002; Matthias Katzfuss (CoRR, 2025)