3 papers
cs.AI2026
Structure-Aware Robust Counterfactual Explanations via Conditional Gaussian Network Classifiers
Zhan-Yi Liao, Jaewon Yoo, Hao-Tsung Yang +1
Counterfactual explanation (CE) is a core technique in explainable artificial intelligence (XAI), widely used to interpret model decisions and suggest actionable alternatives. This…
math.AG2026
Hyperbolic Embeddings in Toric Geometry: Effectivity and Deformation Stability
Jaewon Yoo, Gunhee Cho
We study the deformation behavior of Kobayashi hyperbolic embeddings for complements of divisors in projective toric varieties. In the toric setting, entire curves in divisor compl…
stat.ML2025
From What Ifs to Insights: Counterfactuals in Causal Inference vs. Explainable AI
Galit Shmueli, David Martens, Jaewon Yoo +1
Counterfactuals play a pivotal role in the two distinct data science fields of causal inference (CI) and explainable artificial intelligence (XAI). While the core idea behind count…