H Shindo, V Pfanschilling, DS Dhami, K Kersting
Machine Learning 112 (5), 1465-1497, 2023
40 * 2023 Differentiable Inductive Logic Programming for Structured Examples H Shindo, M Nishino, A Yamamoto
Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 5034--5041, 2021
36 2021 Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction Q Delfosse*, H Shindo*, D Dhami, K Kersting (* Equal Contribution)
37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2023
23 2023 Learning by self-explaining W Stammer, F Friedrich, D Steinmann, M Brack, H Shindo, K Kersting
Transactions on Machine Learning Research (TMLR), 2023
7 2023 Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming V Pfanschilling, H Shindo, DS Dhami, K Kersting
International Conference on Principles of Knowledge Representation and …, 2022
5 2022 Metric Learning for Ordered Labeled Trees with pq-grams H Shindo, M Nishino, Y Kobayashi, A Yamamoto
24th European Conference on Artificial Intelligence (ECAI 2020), 1475--1482, 2020
4 2020 Using Binary Decision Diagrams to Enumerate Inductive Logic Programming Solutions. H Shindo, M Nishino, A Yamamoto
International Conference on Inductive Logic Programming (ILP 2018, Up-and …, 2018
4 2018 Learning differentiable logic programs for abstract visual reasoning H Shindo, V Pfanschilling, DS Dhami, K Kersting
Machine Learning 113 (11), 8533-8584, 2023
3 2023 Neural-Symbolic Predicate Invention: Learning Relational Concepts from Visual Scenes J Sha, H Shindo, K Kersting, DS Dhami
17th International Workshop on Neural-Symbolic Learning and Reasoning (NeSy …, 2023
3 2023 DeiSAM: Segment Anything with Deictic Prompting H Shindo, M Brack, G Sudhakaran, DS Dhami, P Schramowski, K Kersting
38th Conference on Neural Information Processing Systems (NeurIPS 2024), 2023
2 2023 V-LoL: A Diagnostic Dataset for Visual Logical Learning L Helff*, W Stammer*, H Shindo, DS Dhami, K Kersting
Journal of Data-centric Machine Learning Research (DMLR), 2023
2 2023 EXPIL: Explanatory Predicate Invention for Learning in Games J Sha, H Shindo, Q Delfosse, K Kersting, DS Dhami
arXiv preprint arXiv:2406.06107, 2024
1 2024 Logicrank: Logic induced reranking for generative text-to-image systems B Deiseroth, P Schramowski, H Shindo, DS Dhami, K Kersting
arXiv preprint arXiv:2208.13518, 2022
1 2022 NeST: The Neuro-Symbolic Transpiler V Pfanschilling, H Shindo, DS Dhami, K Kersting
International Journal of Approximate Reasoning, 109369, 2025
2025 BlendRL: A Framework for Merging Symbolic and Neural Policy Learning H Shindo, Q Delfosse, DS Dhami, K Kersting
13th International Conference on Learning Representations (ICLR 2025), 2024
2024 Differentiable Meta logical Programming Z Ye, H Shindo, DS Dhami, K Kersting
arXiv preprint arXiv:2211.11650, 2022
2022 Neural Meta-Symbolic Reasoning and Learning Z Ye, H Shindo, D Singh Dhami, K Kersting
arXiv e-prints, arXiv: 2211.11650, 2022
2022 Automated urine cell image analysis with a convolutional neural network M Kaneko, K Tsuji, K Masuda, K Ueno, K Henmi, S Nakagawa, R Fujita, ...
European Urology Open Science 19, e1357, 2020
2020 PD42-09 URINE CELL IMAGE ANALYSIS USING A DEEP LEARNING MODEL M Kaneko, K Tsuji, K Masuda, K Ueno, K Henmi, S Nakagawa, R Fujita, ...
Journal of Urology 203, e830, 2020
2020 
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Co-Director hessian.ai, DFKI, CAIRNE, ELLISVerified email at cs.tu-darmstadt.de