Using Binary Decision Diagrams to Enumerate Inductive Logic Programming Solutions. - Hikaru Shindo; Masaaki Nishino; Akihiro Yamamoto (ILP Up-and-Coming / Short Papers, 2018)

Metric Learning for Ordered Labeled Trees with pq-grams. - Hikaru Shindo; Masaaki Nishino; Yasuaki Kobayashi; Akihiro Yamamoto (ECAI, 2020)

Differentiable Inductive Logic Programming for Structured Examples. - Hikaru Shindo; Masaaki Nishino; Akihiro Yamamoto (AAAI, 2021)

Neuro-Symbolic Forward Reasoning. - Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting (CoRR, 2021)

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

LogicRank: Logic Induced Reranking for Generative Text-to-Image Systems. - Björn Deiseroth; Patrick Schramowski; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting (CoRR, 2022)

Differentiable Meta logical Programming. - Zihan Ye; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting (CoRR, 2022)

Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes. - Jingyuan Sha; Hikaru Shindo; Kristian Kersting; Devendra Singh Dhami (NeSy, 2023)

Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction. - Quentin Delfosse; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting (NeurIPS, 2023)

V-LoL: A Diagnostic Dataset for Visual Logical Learning. - Lukas Helff; Wolfgang Stammer; Hikaru Shindo; Devendra Singh Dhami; Kristian Kersting (CoRR, 2023)

Learning by Self-Explaining. - Wolfgang Stammer; Felix Friedrich; David Steinmann; Hikaru Shindo; Kristian Kersting (CoRR, 2023)

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

DeiSAM: Segment Anything with Deictic Prompting. - Hikaru Shindo; Manuel Brack; Gopika Sudhakaran; Devendra Singh Dhami; Patrick Schramowski; Kristian Kersting (NeurIPS, 2024)

EXPIL: Explanatory Predicate Invention for Learning in Games. - Jingyuan Sha; Hikaru Shindo; Quentin Delfosse; Kristian Kersting; Devendra Singh Dhami (CoRR, 2024)

Learning by Self-Explaining. - Wolfgang Stammer; Felix Friedrich; David Steinmann; Manuel Brack; Hikaru Shindo; Kristian Kersting (Trans. Mach. Learn. Res., 2024)

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

BlendRL: A Framework for Merging Symbolic and Neural Policy Learning. - Hikaru Shindo; Quentin Delfosse; Devendra Singh Dhami; Kristian Kersting (ICLR, 2025)

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

ART: Adaptive Relation Tuning for Generalized Relation Prediction. - Gopika Sudhakaran; Hikaru Shindo; Patrick Schramowski; Simone Schaub-Meyer; Kristian Kersting; Stefan Roth 001 (CoRR, 2025)