collaborators

5 papers

cs.AI2026

Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk

Tim Woydt, Paul-David Zuercher

Critical sequential decisions are rarely single-timescale: a strategic decision causally shapes the context in which every subsequent tactical choice is made; standard bandit and r…

cs.AI2026

SLR: Automated Synthesis for Scalable Logical Reasoning

Lukas Helff, Ahmad Omar, Felix Friedrich +7

We introduce SLR, an end-to-end framework for systematic evaluation and training of Large Language Models (LLMs) via Scalable Logical Reasoning. Given a user's task specification,…

cs.AI2026

Fodor and Pylyshyn's Legacy: Still No Human-like Systematic Compositionality in Neural Networks

Tim Woydt, Moritz Willig, Antonia Wüst +4

Strong meta-learning capabilities for systematic compositionality are emerging as an important skill for navigating the complex and changing tasks of today's world. However, in pre…

cs.AI2025

Bongard in Wonderland: Visual Puzzles that Still Make AI Go Mad?

Antonia Wüst, Tim Woydt, Lukas Helff +5

Recently, newly developed Vision-Language Models (VLMs), such as OpenAI's o1, have emerged, seemingly demonstrating advanced reasoning capabilities across text and image modalities…

cs.LG2025

Systems with Switching Causal Relations: A Meta-Causal Perspective

Moritz Willig, Tim Nelson Tobiasch, Florian Peter Busch +3

Most work on causality in machine learning assumes that causal relationships are driven by a constant underlying process. However, the flexibility of agents' actions or tipping poi…