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Hikaru Shindo
Hikaru Shindo
TU Darmstadt
Geverifieerd e-mailadres voor tu-darmstadt.de - Homepage
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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
272021
Neuro-symbolic forward reasoning
H Shindo, DS Dhami, K Kersting
arXiv preprint arXiv:2110.09383, 2021
172021
ILP: thinking visual scenes as differentiable logic programs
H Shindo, V Pfanschilling, DS Dhami, K Kersting
Machine Learning 112 (5), 1465-1497, 2023
92023
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
52023
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
42020
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
22022
Learning by Self-Explaining
W Stammer, F Friedrich, D Steinmann, H Shindo, K Kersting
arXiv preprint arXiv:2309.08395, 2023
12023
Learning Differentiable Logic Programs for Abstract Visual Reasoning
H Shindo, V Pfanschilling, DS Dhami, K Kersting
arXiv preprint arXiv:2307.00928, 2023
12023
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
12022
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
12018
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
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
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, ...
The Journal of Urology 203 (Supplement 4), e830-e830, 2020
2020
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