Search Results for author: Sébastien Ferré

Found 3 papers, 2 papers with code

Tackling the Abstraction and Reasoning Corpus (ARC) with Object-centric Models and the MDL Principle

1 code implementation1 Nov 2023 Sébastien Ferré

The Abstraction and Reasoning Corpus (ARC) is a challenging benchmark, introduced to foster AI research towards human-level intelligence.

KG-MDL: Mining Graph Patterns in Knowledge Graphs with the MDL Principle

no code implementations22 Sep 2023 Francesco Bariatti, Peggy Cellier, Sébastien Ferré

Second, real-life KGs tend to differ from the graphs usually treated in graph mining: they are multigraphs, their vertex degrees tend to follow a power-law, and the way in which they model knowledge can produce spurious patterns.

Descriptive Graph Mining +1

First Steps of an Approach to the ARC Challenge based on Descriptive Grid Models and the Minimum Description Length Principle

1 code implementation1 Dec 2021 Sébastien Ferré

In this paper, we present the first steps exploring an approach based on descriptive grid models and the Minimum Description Length (MDL) principle.

Descriptive

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