Florian Peter Busch — accepted AI-conference papers

2025

Scaling Probabilistic Circuits via Data Partitioning

Jonas Seng, Florian Peter Busch, Pooja Prasad, Devendra Singh Dhami, Martin Mundt, Kristian Kersting

UAI 2025

Probabilistic circuits (PCs) enable us to learn joint distributions over a set of random variables and to perform various probabilistic queries in a tractable fashion. Though the tractability property allows PCs to scale beyond non-tractable models such as Bayesian Networks, scaling training and inf

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗

2025

Systems with Switching Causal Relations: A Meta-Causal Perspective

Moritz Willig, Tim Tobiasch, Florian Peter Busch, Jonas Seng, Devendra Singh Dhami, Kristian Kersting

ICLR 2025spotlight

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 points in the environmental process can change the qualitative dynamics of the system. As a result, new causal relationship…

Cited by 0 Source ↗PDF ↗Scholar ↗

2025

Where is the Truth? The Risk of Getting Confounded in a Continual World

Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell, Wolfgang Stammer, Kristian Kersting, Martin Mundt

ICML 2025spotlight

A dataset is confounded if it is most easily solved via a spurious correlation which fails to generalize to new data. In this work, we show that, in a continual learning setting where confounders may vary in time across tasks, the challenge of mitigating the effect of confounders far exceeds the sta…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗