Haußmann, Manuel

5 publications

NeurIPS 2024 Deterministic Uncertainty Propagation for Improved Model-Based Offline Reinforcement Learning Abdullah Akgül, Manuel Haußmann, Melih Kandemir

AISTATS 2021 Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes Manuel Haußmann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir

IJCAI 2019 Deep Active Learning with Adaptive Acquisition Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir

ICLR 2019 LeMoNADe: Learned Motif and Neuronal Assembly Detection in Calcium Imaging Videos Elke Kirschbaum, Manuel Haußmann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A Hamprecht

UAI 2019 Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir