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Hi there 😃

I am Robert, currently a data scientist and software engineer at Tiplu.

I hold a PhD in computer science from TU Berlin. I conducted my PhD research at the Speech and Language Technologies Lab of the German Research Center for Artificial Intelligence (DFKI), where I worked at for almost seven years.

My interests include

  • (neural) explainability,
  • NLP and NLU,
  • (medical) image processing,
  • and graph algorithms and networks because, you see, everything appears to be part of some graph.

Robert Schwarzenberg's Projects

captum icon captum

Model interpretability and understanding for PyTorch

cross-nvc icon cross-nvc

Crosslingual Neural Vector Conceptualization

diamat icon diamat

Machine Translation Diagnostics Tool

germeval-2018-data icon germeval-2018-data

This repository contains all manually labeled data from the GermEval-2018 shared task.

gevalm icon gevalm

Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)

innvestigate icon innvestigate

A toolbox to iNNvestigate neural networks' predictions!

lrv icon lrv

Layerwise Relevance Visualization in Convolutional Text Graph Classifiers

nvc icon nvc

Neural Vector Conceptualization

stacknn icon stacknn

A PyTorch implementation of differentiable stacks for use in neural networks.

thermostat icon thermostat

Collection of NLP model explanations and accompanying analysis tools

visual-attribution icon visual-attribution

Pytorch Implementation of recent visual attribution methods for model interpretability

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