| 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 | 29 | 2021 |
| Neuro-symbolic forward reasoning H Shindo, DS Dhami, K Kersting arXiv preprint arXiv:2110.09383, 2021 | 19 | 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 | 13 | 2023 |
| ILP: thinking visual scenes as differentiable logic programs H Shindo, V Pfanschilling, DS Dhami, K Kersting Machine Learning 112 (5), 1465-1497, 2023 | 9 | 2023 |
| 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 |
| 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 | 3 | 2022 |
| Learning by Self-Explaining W Stammer, F Friedrich, D Steinmann, H Shindo, K Kersting arXiv preprint arXiv:2309.08395, 2023 | 2 | 2023 |
| 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 | 2 | 2018 |
| Learning differentiable logic programs for abstract visual reasoning H Shindo, V Pfanschilling, DS Dhami, K Kersting arXiv preprint arXiv:2307.00928, 2023 | 1 | 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 | 1 | 2023 |
| 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 |
| EXPIL: Explanatory Predicate Invention for Learning in Games J Sha, H Shindo, Q Delfosse, K Kersting, DS Dhami arXiv preprint arXiv:2406.06107, 2024 | | 2024 |
| DeiSAM: Segment Anything with Deictic Prompting H Shindo, M Brack, G Sudhakaran, DS Dhami, P Schramowski, K Kersting AAAI Workshop on Neuro-Symbolic Learning and Reasoning in the era of Large …, 2023 | | 2023 |
| V-LoL: A Diagnostic Dataset for Visual Logical Learning L Helff, W Stammer, H Shindo, DS Dhami, K Kersting arXiv preprint arXiv:2306.07743, 2023 | | 2023 |
| 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, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLIS在 cs.tu-darmstadt.de 的电子邮件经过验证
