3 papers
cs.AI2025
Causal Cartographer: From Mapping to Reasoning Over Counterfactual Worlds
Gaël Gendron, Jože M. Rožanec, Michael Witbrock +1
Causal world models are systems that can answer counterfactual questions about an environment of interest, i.e. predict how it would have evolved if an arbitrary subset of events h…
cs.CL2024
Counterfactual Causal Inference in Natural Language with Large Language Models
Gaël Gendron, Jože M. Rožanec, Michael Witbrock +1
Causal structure discovery methods are commonly applied to structured data where the causal variables are known and where statistical testing can be used to assess the causal relat…
cs.LG2024
Robust Domain Generalisation with Causal Invariant Bayesian Neural Networks
Gaël Gendron, Michael Witbrock, Gillian Dobbie
Deep neural networks can obtain impressive performance on various tasks under the assumption that their training domain is identical to their target domain. Performance can drop dr…