Explaining Text Classifiers with Counterfactual Representations

1 code implementation • 1 Feb 2024 • Pirmin Lemberger, Antoine Saillenfest

One well motivated explanation method for classifiers leverages counterfactuals which are hypothetical events identical to real observations in all aspects except for one categorical feature.

Attribute Causal Inference +1

How Graph Structure and Label Dependencies Contribute to Node Classification in a Large Network of Documents

1 code implementation • 3 Apr 2023 • Pirmin Lemberger, Antoine Saillenfest

We introduce a new dataset named WikiVitals which contains a large graph of 48k mutually referred Wikipedia articles classified into 32 categories and connected by 2. 3M edges.

Model Selection Node Classification

Role of Simplicity in Creative Behaviour: The Case of the Poietic Generator

no code implementations • 22 Dec 2016 • Antoine Saillenfest, Jean-Louis Dessalles, Olivier Auber

We propose to apply Simplicity Theory (ST) to model interest in creative situations.