Johannes Zenn
Bernstein Center for Computational Neuroscience Tübingen(DE)University of Tübingen(DE)
Publications by Year
Research Areas
Computational Drug Discovery Methods, Generative Adversarial Networks and Image Synthesis, Bayesian Methods and Mixture Models, Topic Modeling, Natural Language Processing Techniques
Most-Cited Works
- → Balancing molecular information and empirical data in the prediction of physico-chemical properties(2025)4 cited
- → The SVHN Dataset Is Deceptive for Probabilistic Generative Models Due to a Distribution Mismatch(2023)1 cited
- → Author response for "Balancing Molecular Information and Empirical Data in the Prediction of Physico-Chemical Properties"(2024)
- → Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers(2023)
- → Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution(2024)
- → ProbNum: Probabilistic Numerics in Python(2021)