| 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 | 13 | 2021 |
| Neuro-symbolic forward reasoning H Shindo, DS Dhami, K Kersting arXiv preprint arXiv:2110.09383, 2021 | 7 | 2021 |
| 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 | 3 | 2020 |
| Sum-Product Loop Programming: From Probabilistic Circuits to Loop Programming V Pfanschilling, H Shindo, DS Dhami, K Kersting Proceedings of the International Conference on Principles of Knowledge …, 2022 | 1 | 2022 |
| Using Binary Decision Diagrams to Enumerate Inductive Logic Programming Solutions. H Shindo, M Nishino, A Yamamoto ILP Up-and-Coming/Short Papers (ILP 2018), 52-67, 2018 | 1 | 2018 |
| ILP: thinking visual scenes as differentiable logic programs H Shindo, V Pfanschilling, DS Dhami, K Kersting Machine Learning, 1-33, 2023 | | 2023 |
| Differentiable Meta logical Programming Z Ye, H Shindo, DS Dhami, K Kersting arXiv preprint arXiv:2211.11650, 2022 | | 2022 |
| 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 | | 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, ... The Journal of Urology 203 (Supplement 4), e830-e830, 2020 | | 2020 |
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLISVerified email at cs.tu-darmstadt.de
