Johannes Zenn

11 papers A* 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Note on Generalization in Variational Autoencoders: How Effective Is Synthetic Data and Overparameterization?
Trans. Mach. Learn. Res.
Tim Z. Xiao, Johannes Zenn, Robert Bamler
2025 J jnl
Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling.
CoRR
Tim Z. Xiao, Johannes Zenn, Zhen Liu, Weiyang Liu, Robert Bamler, Bernhard Schölkopf
2025 J jnl
Language Models For Generalised PDDL Planning: Synthesising Sound and Programmatic Policies.
CoRR
Dillon Z. Chen, Johannes Zenn, Tristan Cinquin, Sheila A. McIlraith
2024 J jnl
Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties.
CoRR
Johannes Zenn, Dominik Gond, Fabian Jirasek, Robert Bamler
2024 A* conf
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution.
ICML
Johannes Zenn, Robert Bamler
2024 J jnl
Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution.
CoRR
Johannes Zenn, Robert Bamler
2023 — conf
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers.
Tiny Papers @ ICLR
Johannes Zenn, Robert Bamler
2023 J jnl
Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers.
CoRR
Johannes Zenn, Robert Bamler
2023 J jnl
The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch.
CoRR
Tim Z. Xiao, Johannes Zenn, Robert Bamler
2023 J jnl
Upgrading VAE Training With Unlimited Data Plans Provided by Diffusion Models.
CoRR
Tim Z. Xiao, Johannes Zenn, Robert Bamler
2021 J jnl
ProbNum: Probabilistic Numerics in Python.
CoRR
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