Manuel Haussmann

I am a Ph.D. student at Heidelberg University in the group of Fred Hamprecht. I am broadly interested in all things Bayesian and Probabilistic Machine Learning. My interest is both on the foundational level as well as with respect to the growing field of applications.


  • 2020: I was selected as a top reviewer for ICML 2020
  • 2020: Deep-learning jets with uncertainties and more , a collaboration with the group of Tilman Plehn has been published in SciPost Physics
  • 2019: Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation has been accepted at UAI 2019
  • 2019: Deep Active Learning with Adaptive Acquisition has been accepted at IJCAI 2019
  • 2019: Elke's LeMoNADe: Learned Motif and Neuronal Assembly Detection in Calcium Imaging Videos has been accepted at ICLR 2019
  • 2017: Variational Bayesian Multiple Instance Learning with Gaussian Processes has been accepted at CVPR 2017



See Google Scholar for the current list.