Volpp, Michael

9 publications

TMLR 2026 Context-Aware Learned Mesh-Based Simulation via Trajectory-Level Meta-Learning Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann

TMLR 2023 A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann

ICLR 2023 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann

NeurIPS 2023 Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning Under Distribution Shift Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann

NeurIPSW 2023 Latent Task-Specific Graph Network Simulators Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Michael Volpp, Gerhard Neumann

CVPR 2022 What Matters for Meta-Learning Vision Regression Tasks? Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann

ICLR 2021 Bayesian Context Aggregation for Neural Processes Michael Volpp, Fabian Flürenbrock, Lukas Grossberger, Christian Daniel, Gerhard Neumann

ICLR 2020 Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel

ICML 2019 Trajectory-Based Off-Policy Deep Reinforcement Learning Andreas Doerr, Michael Volpp, Marc Toussaint, Trimpe Sebastian, Christian Daniel