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Emanuel Sommer
Emanuel Sommer
PhD Candidate @ Data Science Group of the Department of Statistics, LMU Munich
Bestätigte E-Mail-Adresse bei stat.uni-muenchen.de - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?
E Sommer, L Wimmer, T Papamarkou, L Bothmann, B Bischl, D Rügamer
International Conference on Machine Learning (ICML 2024), 2024
42024
Vine Copula based portfolio level conditional risk measure forecasting
E Sommer, K Bax, C Czado
Econometrics and Statistics, 2023
22023
Estimation and Backtesting of the Expected Shortfall and Value at Risk using Vine Copulas-An unconditional and conditional rolling window approach
E Sommer
22022
Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks
E Sommer, J Robnik, G Nozadze, U Seljak, D Rügamer
International Conference on Learning Representations (ICLR 2025), 2025
12025
Paths and Ambient Spaces in Neural Loss Landscapes
D Dold, J Kobialka, N Palm, E Sommer, D Rügamer, O Dürr
The 28th International Conference on Artificial Intelligence and Statistics, 0
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