Johannes Zenn

According to our database, Johannes Zenn authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling.

Tim Z. Xiao, Johannes Zenn, Zhen Liu, Weiyang Liu, Robert Bamler, Bernhard Schölkopf

CoRR, June, 2025

A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data and Overparameterization?

Tim Z. Xiao, Johannes Zenn, Robert Bamler

Trans. Mach. Learn. Res., 2025

2024

Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties.

Johannes Zenn, Dominik Gond, Fabian Jirasek, Robert Bamler

CoRR, 2024

Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution.

Johannes Zenn, Robert Bamler

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch.

Tim Z. Xiao, Johannes Zenn, Robert Bamler

CoRR, 2023

Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models.

Tim Z. Xiao, Johannes Zenn, Robert Bamler

CoRR, 2023

Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers.

Johannes Zenn, Robert Bamler

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2021

ProbNum: Probabilistic Numerics in Python.

Jonathan Wenger, Nicholas Krämer, Marvin Pförtner, Jonathan Schmidt, Nathanael Bosch, Nina Effenberger, Johannes Zenn, Alexandra Gessner, Toni Karvonen, François-Xavier Briol, Maren Mahsereci, Philipp Hennig

CoRR, 2021