publications
2024
- ICML
Workshop Abstract Towards General Geometries for Embedding Knowledge GraphsIn ICML/ELLIS Workshop on Geometry-grounded Representation Learning and Generative Modeling, 2024 - preprint
- preprintEfficient Radiation Treatment Planning based on Voxel ImportancearXiv preprint arXiv:2405.03880, 2024
- preprintIsing on the Graph: Task-specific Graph Subsampling via the Ising ModelarXiv preprint arXiv:2402.10206, 2024
- AISTATSOn Feynman–Kac training of partial Bayesian neural networksIn International Conference on Artificial Intelligence and Statistics, 2024
2023
- preprintPersonalized Privacy Amplification via Importance SamplingarXiv preprint arXiv:2307.10187, 2023
2022
-
Abstract Berechnung effizienter DatenzusammenfassungenIn Ausgezeichnete Informatikdissertationen 2021, 2022
2021
2020
- chapterAnalyzing Positional DataIn Science meets Sports : when Statistics are more than Numbers, 2020
- NLDL
Abstract - NLDL
Abstract An Appropriate Prior Distribution for Interpolating Latent Samples in Flow-based Generative ModelsIn Northern Lights Deep Learning Workshop, 2020
2019
- ECML
Workshop HyperUCB: Hyperparameter Optimization using Contextual BanditsIn ECML-PKDD Workshop on Automating Data Science, 2019