Projects

All projects can be found on my GitHub page.

DAIS0

The code for our work Differentiable Annealed Importance Sampling Minimizes The Symmetrized Kullback-Leibler Divergence Between Initial and Target Distribution. We investigate the initial distribution of differentiable annealed importance sampling and find that it minimizes the symmetrized Kullback-Leibler divergence between its initial distribution and target distribution. Motivated by this insight we use the initial distribution for variational inference.

SVHN-Remix

We find that the SVHN dataset (Netzer et al., 2011) suffers from a distribution shift between training set and test set. We analyze the distribution shift and its implications and provide a new split

DSMCS

The code for our work Resampling Gradients Vanish in Differentiable Sequential Monte Carlo Samplers where we propose a differentiable Sequential Monte Carlo Sampler and show that there is no need for differentiating the resampling operation if the effective sample size is maximal.

Minima-Slides

Modern and simplistic LaTeX beamer slides for professional and private use.