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Johannes Zenn
Johannes Zenn
University of Tübingen, International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Bestätigte E-Mail-Adresse bei uni-tuebingen.de - Startseite
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Zitiert von
Zitiert von
Jahr
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, 2023
22023
Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties
J Zenn, D Gond, F Jirasek, R Bamler
arXiv preprint arXiv:2406.08075, 2024
12024
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
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution
J Zenn, R Bamler
International Conference on Machine Learning (arXiv preprint arXiv:2405.14840), 2024
2024
Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models
TZ Xiao, J Zenn, R Bamler
arXiv preprint arXiv:2310.19653, 2023
2023
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