About me
I'm a PhD student in the Machine Reasoning Lab supervised by Jendrik Seipp and co-supervised by Marco Kuhlmann. My research focuses on combining large language models (LLMs) with classical planning systems with the aim of creating a powerful but easy to use planner.
Short bio
I have a Master of Science in Applied Physics and Electrical Engineering from Linköping University with a specialisation in Data Driven Analysis and Machine Intelligence which will be completed in June 2024.
Awards
- Winner of the Explainability Challenge of the Beluga Competition organized by the TUPLES Consortium.
Publications
2026
Markus Fritzsche, Elliot Gestrin and Jendrik Seipp.
Symmetry-Aware Transformer Training for Automated Planning.
In Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI 2026). 2026.
paper | slides | poster | citation
2025
Elliot Gestrin, Gustaf Söderholm, Paul Höft, Mauricio Salerno, Jendrik Seipp and Daniel Gnad.
Explainable Planning via Counterfactual Task Analysis for the Beluga Challenge and Beyond.
In ICAPS 2025 Workshop on Human-Aware and Explainable Planning (HAXP). 2025.
paper | slides | citationMarkus Fritzsche, Elliot Gestrin and Jendrik Seipp.
Symmetry-Aware Transformer Training for Automated Planning.
In arXiv:2508.07743 [cs.AI]. 2025.
preprint | citation
2024
Elliot Gestrin, Marco Kuhlmann and Jendrik Seipp.
NL2Plan: Robust LLM-Driven Planning from Minimal Text Descriptions.
In ICAPS 2024 Workshop on Human-Aware and Explainable Planning (HAXP). 2024.
paper | preprint | slides | code | citation