Unsupervised Multi-sensor Anomaly Localization with Explainable AI. - Mina Ameli; Viktor Pfanschilling; Anar Amirli; Wolfgang Maaß 002; Kristian Kersting (AIAI (1), 2022)

Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming. - Viktor Pfanschilling; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting (KR, 2022)

αILP: thinking visual scenes as differentiable logic programs. - Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting (Mach. Learn., 2023)

Residuals for Equation Discovery. - Jannis Brugger; Viktor Pfanschilling; Mira Mezini; Stefan Kramer 001 (DS (LB), 2024)

Learning differentiable logic programs for abstract visual reasoning. - Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting (Mach. Learn., 2024)

NeST: The neuro-symbolic transpiler. - Viktor Pfanschilling; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting (Int. J. Approx. Reason., 2025)