Learning expressive priors for generalization and uncertainty estimation in neural networks D Schnaus, J Lee, D Cremers, R Triebel International Conference on Machine Learning, 30252-30284, 2023 | 1 | 2023 |
Kronecker-factored optimal curvature D Schnaus, J Lee, R Triebel Bayesian Deep Learning NeurIPS 2021 Workshop, 2021 | 1 | 2021 |
Combining Deep Learning and Physical Models: A Benchmark Study on All‐Sky Imager‐Based Solar Nowcasting Systems Y Fabel, B Nouri, S Wilbert, N Blum, D Schnaus, R Triebel, LF Zarzalejo, ... Solar RRL, 2300808, 2024 | | 2024 |
Nowcasting systems for irradiance ramp event detection Y Fabel, D Schnaus, B Nouri, S Wilbert, N Blum, LF Zarzalejo, R Pitz-Paal | | 2023 |
Combining deep learning and physical models for solar nowcasting Y Fabel, B Nouri, S Wilbert, N Blum, D Schnaus, R Triebel, LF Zarzalejo, ... | | 2023 |
Progressive Bayesian Neural Networks D Schnaus Technical University of Munich, 2021 | | 2021 |