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cs.LG2026
Amortized Probabilistic Retrieval of Atmospheric CO2 from OCO-2 Spectra Using Deep Learning with Laplace Approximations and Normalizing Flows
Alejandro Calle-Saldarriaga, Felix Jimenez, Jack Grosskreuz +3
Space-based monitoring of atmospheric carbon dioxide (CO) constrains the global carbon budget. NASA's Orbiting Carbon Observatory-2 (OCO-2) estimates column-averaged dry-air mo…
cs.LG2025
Probabilistic Skip Connections for Deterministic Uncertainty Quantification in Deep Neural Networks
Felix Jimenez, Matthias Katzfuss
Deterministic uncertainty quantification (UQ) in deep learning aims to estimate uncertainty with a single pass through a network by leveraging outputs from the network's feature ex…
cs.LG2022★ 1 cited
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes
Felix Jimenez, Matthias Katzfuss
Bayesian optimization is a technique for optimizing black-box target functions. At the core of Bayesian optimization is a surrogate model that predicts the output of the target fun…