Seuraa
Marcel Hildebrandt
Marcel Hildebrandt
Siemens Technology, LMU
Vahvistettu sähköpostiosoite verkkotunnuksessa siemens.com
Nimike
Viittaukset
Viittaukset
Vuosi
Coalescent processes with skewed offspring distributions and nonequilibrium demography
S Matuszewski*, M Hildebrandt*, G Achaz, JD Jensen
Genetics 208 (1), 323-338, 2018
362018
A statistical guide to the design of deep mutational scanning experiments
S Matuszewski*, M Hildebrandt*, AH Ghenu, JD Jensen, C Bank
Genetics 204 (1), 77-87, 2016
342016
Scene Graph Reasoning for Visual Question Answering
M Hildebrandt*, H Li*, R Koner*, V Tresp, S Günnemann
ICML 2020: GRL+, 2020
292020
Reasoning on Knowledge Graphs with Debate Dynamics
M Hildebrandt*, JAQ Serna*, Y Ma, M Ringsquandl, M Joblin, V Tresp
AAAI 2020, 2020
262020
Event-enhanced learning for KG completion
M Ringsquandl, E Kharlamov, D Stepanova, M Hildebrandt, S Lamparter, ...
European Semantic Web Conference, 541-559, 2018
23*2018
Neural multi-hop reasoning with logical rules on biomedical knowledge graphs
Y Liu, M Hildebrandt, M Joblin, M Ringsquandl, R Raissouni, V Tresp
European Semantic Web Conference, 375-391, 2021
182021
A recommender system for complex real-world applications with nonlinear dependencies and knowledge graph context
M Hildebrandt, SS Sunder, S Mogoreanu, M Joblin, A Mehta, I Thon, ...
European Semantic Web Conference, 179-193, 2019
142019
Configuration of industrial automation solutions using multi-relational recommender systems
M Hildebrandt*, SS Sunder*, S Mogoreanu, I Thon, V Tresp, T Runkler
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
122018
Holistic Representations for Memorization and Inference
Y Ma, M Hildebrandt, V Tresp, S Baier
UAI, 403-413, 2018
112018
Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering
R Koner*, H Li*, M Hildebrandt*, D Das, V Tresp, S Günnemann
International Semantic Web Conference, 111-127, 2021
72021
Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach
M Hildebrandt, M Khalil, C Bergs, V Tresp, R Wuchner, KU Bletzinger, ...
2019 IEEE 17th International Conference on Industrial Informatics (INDIN) 1 …, 2019
52019
Learning through structure: towards deep neuromorphic knowledge graph embeddings
VC Chian*, M Hildebrandt*, T Runkler, D Dold*
2021 International Conference on Neuromorphic Computing (ICNC), 61-70, 2021
22021
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
Y Liu*, M Hildebrandt*, M Joblin, M Ringsquandl, V Tresp
arXiv preprint arXiv:2007.05292, 2020
22020
Health indication of electric motors using a hybrid modeling approach
C Bergs, M Khalil, M Hildebrandt, M Heizmann, R Wüchner, KU Bletzinger, ...
tm-Technisches Messen 86 (11), 640-650, 2019
22019
Task-driven knowledge graph filtering improves prioritizing drugs for repurposing
F Ratajczak, M Joblin, M Ringsquandl, M Hildebrandt
BMC bioinformatics 23 (1), 1-19, 2022
12022
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Y Liu, Y Ma, M Hildebrandt, M Joblin, V Tresp
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4120-4127, 2022
12022
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids
M Ringsquandl, H Sellami, M Hildebrandt, D Beyer, S Henselmeyer, ...
Proceedings of the 30th ACM International Conference on Information …, 2021
12021
Reasoning on graph-structured data with deep-learning, path-based methods, and tensor factorization
M Hildebrandt
lmu, 2021
12021
Neuro-symbolic computing with spiking neural networks
D Dold, JS Garrido, VC Chian, M Hildebrandt, T Runkler
arXiv preprint arXiv:2208.02576, 2022
2022
CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations
Z Liu, Y Ma, M Hildebrandt, Y Ouyang, Z Xiong
Knowledge and Information Systems, 1-27, 2022
2022
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Artikkelit 1–20