Riezler, Stefan

7 publications

TMLR 2025 Compositionality in Time Series: A Proof of Concept Using Symbolic Dynamics and Compositional Data Augmentation Michael Hagmann, Michael Staniek, Stefan Riezler

MLHC 2024 Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting Michael Staniek, Marius Fracarolli, Michael Hagmann, Stefan Riezler

AAAI 2024 VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang

ICLR 2023 Towards Inferential Reproducibility of Machine Learning Research Michael Hagmann, Philipp Meier, Stefan Riezler

NeurIPSW 2023 VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang

MLHC 2022 Ensembling Neural Networks for Improved Prediction and Privacy in Early Diagnosis of Sepsis Shigehiko Schamoni, Michael Hagmann, Stefan Riezler

NeurIPS 2016 Stochastic Structured Prediction Under Bandit Feedback Artem Sokolov, Julia Kreutzer, Stefan Riezler, Christopher Lo