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CounterFlowNet: From Minimal Changes to Meaningful Counterfactual Explanations

CounterFlowNet uses generative flow networks to generate sequential, sparse counterfactual explanations for tabular data with enforced actionability constraints and improved validity-sparsity trade-offs.

Oleksii Furman, Patryk Marszałek, Jan Masłowski, Marek Śmieja and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 4/5
medium 6/10
strict 0/5