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Maximilian Mordig

2 accepted papers

2026

CauSciBench: Evaluating LLM Causal Inference for Scientific Research

ICML 2026poster

Identifying and estimating causal relationships from data is an important component of the scientific research process because it enables researchers to understand how variables affect one another. While large language models (LLMs) show potential for assisting research workflows, their ability to p…

Cited by 0SourceScholar
2017

Probabilistic modeling of programmable stochastic self-assembly of robotic modules

IROS 2017poster

Creating accurate models of stochastically self-assembling systems is a key step in developing control strategies, centralized or distributed, for the self-assembly process. This paper comparatively studies several aspects of developing probabilistic models for programmable self-assembling systems o…

Cited by 5SourceScholar