Michael Volpp
Michael Volpp
Bosch Center for Artificial Intelligence
Verified email at de.bosch.com
Cited by
Cited by
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization
M Volpp, LP Fröhlich, K Fischer, A Doerr, S Falkner, F Hutter, C Daniel
ICLR 2020, 2019
Trajectory-Based Off-Policy Deep Reinforcement Learning
A Doerr, M Volpp, M Toussaint, S Trimpe, C Daniel
ICML 2019, 2019
Factorization with a logarithmic energy spectrum of a two-dimensional potential
F Gleisberg, M Volpp, WP Schleich
Physics Letters A 379 (40-41), 2556-2560, 2015
Standard development process for physical models used in real time applications based on the example of an exhaust pipe model
A Gallet, M Volpp, W Lengerer
Technical report, Robert Bosch GmbH, 2014
Bayesian Context Aggregation for Neural Processes
M Volpp, F Flürenbrock, L Grossberger, C Daniel, G Neumann
ICLR 2021, 2021
Running of Radiative Neutrino Masses - A Study of the Zee-Babu Model
M Volpp
Max Planck Institute for Physics Munich, 2017
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