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Johannes Zenn
Johannes Zenn
University of Tübingen, International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Verified email at uni-tuebingen.de - Homepage
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Cited by
Cited by
Year
Probnum: Probabilistic numerics in python
J Wenger, N Krämer, M Pförtner, J Schmidt, N Bosch, N Effenberger, ...
arXiv preprint arXiv:2112.02100, 2021
192021
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers
J Zenn, R Bamler
Tiny Papers @ International Conference on Learning Representations (ICLR), 2023
32023
Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution
J Zenn, R Bamler
International Conference on Machine Learning (ICML), 2024
2*2024
Balancing molecular information and empirical data in the prediction of physico-chemical properties
J Zenn, D Gond, F Jirasek, R Bamler
Digital Discovery, 2025
12025
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch
TZ Xiao, J Zenn, R Bamler
NeurIPS 2023 Workshop on Distribution Shifts: New Frontiers with Foundation …, 2023
12023
A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data & Overparameterization?
TZ Xiao, J Zenn, R Bamler
Transactions of Machine Learning Research (TMLR), 2024
2024
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