Boris Wiegand

2 accepted papers

2024

What Are the Rules? Discovering Constraints from Data

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

AAAI 2024technical

Constraint programming and AI planning are powerful tools for solving assignment, optimization, and scheduling problems. They require, however, the rarely available combination of domain knowledge and mathematical modeling expertise. Learning constraints from exemplary solutions can close this gap a…

Cited by 3 Source ↗PDF ↗Scholar ↗

2022

Discovering Interpretable Data-to-Sequence Generators

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

AAAI 2022technical

We study the problem of predicting an event sequence given some meta data. In particular, we are interested in learning easily interpretable models that can accurately generate a sequence based on an attribute vector. To this end, we propose to learn a sparse event-flow graph over the training seque…

Cited by 5 Source ↗PDF ↗Scholar ↗