Tractable Querying and Learning in Hybrid Domains via Sum-Product Networks. - Andreas C. Bueff; Stefanie Speichert; Vaishak Belle (CoRR, 2018)

Probabilistic Tractable Models in Mixed Discrete-Continuous Domains. - Andreas C. Bueff; Stefanie Speichert; Vaishak Belle (Data Intell., 2021)

Explainability in Machine Learning: a Pedagogical Perspective. - Andreas C. Bueff; Ioannis Papantonis; Auste Simkute; Vaishak Belle (CoRR, 2022)

Machine learning interpretability for a stress scenario generation in credit scoring based on counterfactuals. - Andreas C. Bueff; Mateusz Cytrynski; Raffaella Calabrese; Matthew Jones; John Roberts; Jonathon Moore; Iain Brown (Expert Syst. Appl., 2022)

Logic + Reinforcement Learning + Deep Learning: A Survey. - Andreas C. Bueff; Vaishak Belle (ICAART (3), 2023)

Deep Inductive Logic Programming meets Reinforcement Learning. - Andreas C. Bueff; Vaishak Belle (ICLP, 2023)

Learning explanatory logical rules in non-linear domains: a neuro-symbolic approach. - Andreas C. Bueff; Vaishak Belle (Mach. Learn., 2024)