43 citations · 88 across the 9 of their papers we have counts for
9 papers
An Empirical Evaluation of the Rashomon Effect in Explainable Machine Learning
Sebastian Müller, Vanessa Toborek, Katharina Beckh +3
The Rashomon Effect describes the following phenomenon: for a given dataset there may exist many models with equally good performance but with different solution strategies. The Ra…
Expectation-Complete Graph Representations with Homomorphisms
Pascal Welke, Maximilian Thiessen, Fabian Jogl +1
We investigate novel random graph embeddings that can be computed in expected polynomial time and that are able to distinguish all non-isomorphic graphs in expectation. Previous gr…
Retention Is All You Need
Karishma Mohiuddin, Mirza Ariful Alam, Mirza Mohtashim Alam +4
Skilled employees are the most important pillars of an organization. Despite this, most organizations face high attrition and turnover rates. While several machine learning models…
A New Aligned Simple German Corpus
Vanessa Toborek, Moritz Busch, Malte Boßert +2
"Leichte Sprache", the German counterpart to Simple English, is a regulated language aiming to facilitate complex written language that would otherwise stay inaccessible to differe…
Hidden Schema Networks
Ramsés J. Sánchez, Lukas Conrads, Pascal Welke +2
Large, pretrained language models infer powerful representations that encode rich semantic and syntactic content, albeit implicitly. In this work we introduce a novel neural langua…
Explainable Machine Learning with Prior Knowledge: An Overview
Katharina Beckh, Sebastian Müller, Matthias Jakobs +6
This survey presents an overview of integrating prior knowledge into machine learning systems in order to improve explainability. The complexity of machine learning models has elic…