Michael Volpp - RankMe

19 papers A* 6Journal 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. Trans. Mach. Learn. Res. Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann
2025	—	`—`	Bayesian Meta-Learning for Probabilistic Modeling and Optimization. Michael Volpp
2025	J	`jnl`	Context-aware Learned Mesh-based Simulation via Trajectory-Level Meta-Learning. CoRR Philipp Dahlinger, Niklas Freymuth, Tai Hoang, Tobias Würth, Michael Volpp, Luise Kärger, Gerhard Neumann
2025	J	`jnl`	Information-Theoretic Policy Pre-Training with Empowerment. CoRR Moritz Schneider, Robert Krug, Narunas Vaskevicius, Luigi Palmieri, Michael Volpp, Joschka Boedecker
2023	J	`jnl`	A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. Trans. Mach. Learn. Res. Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
2023	A*	`conf`	Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
2023	A*	`conf`	Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift. NeurIPS Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
2023	J	`jnl`	Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift. CoRR Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
2023	J	`jnl`	Latent Task-Specific Graph Network Simulators. CoRR Philipp Dahlinger, Niklas Freymuth, Michael Volpp, Tai Hoang, Gerhard Neumann
2023	J	`jnl`	ProDMP: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. IEEE Robotics Autom. Lett. Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
2022	J	`jnl`	A Unified Perspective on Natural Gradient Variational Inference with Gaussian Mixture Models. CoRR Oleg Arenz, Philipp Dahlinger, Zihan Ye, Michael Volpp, Gerhard Neumann
2022	J	`jnl`	ProDMPs: A Unified Perspective on Dynamic and Probabilistic Movement Primitives. CoRR Ge Li, Zeqi Jin, Michael Volpp, Fabian Otto, Rudolf Lioutikov, Gerhard Neumann
2022	A*	`conf`	What Matters For Meta-Learning Vision Regression Tasks? CVPR Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann
2022	J	`jnl`	What Matters For Meta-Learning Vision Regression Tasks? CoRR Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann
2021	A*	`conf`	Bayesian Context Aggregation for Neural Processes. ICLR Michael Volpp, Fabian Flürenbrock, Lukas Großberger, Christian Daniel, Gerhard Neumann
2020	A*	`conf`	Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. ICLR Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel
2019	J	`jnl`	Meta-Learning Acquisition Functions for Bayesian Optimization. CoRR Michael Volpp, Lukas P. Fröhlich, Andreas Doerr, Frank Hutter, Christian Daniel
2019	A*	`conf`	Trajectory-Based Off-Policy Deep Reinforcement Learning. ICML Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
2019	J	`jnl`	Trajectory-Based Off-Policy Deep Reinforcement Learning. CoRR Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel