27 citations · 110 across the 24 of their papers we have counts for
3 papers · 1 filter
Dirichlet Pruning for Neural Network Compression
Kamil Adamczewski, Mijung Park
We introduce Dirichlet pruning, a novel post-processing technique to transform a large neural network model into a compressed one. Dirichlet pruning is a form of structured pruning…
Bayesian Importance of Features (BIF)
Kamil Adamczewski, Frederik Harder, Mijung Park
We introduce a simple and intuitive framework that provides quantitative explanations of statistical models through the probabilistic assessment of input feature importance. The co…
DP-MERF: Differentially Private Mean Embeddings with Random Features for Practical Privacy-Preserving Data Generation
Frederik Harder, Kamil Adamczewski, Mijung Park
We propose a differentially private data generation paradigm using random feature representations of kernel mean embeddings when comparing the distribution of true data with that o…