Maximilian Nickel
Maximilian Nickel
Research Scientist at Facebook AI Research
Verified email at fb.com - Homepage
Title
Cited by
Cited by
Year
A Three-Way Model for Collective Learning on Multi-Relational Data
M Nickel, V Tresp, HP Kriegel
Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011
9972011
A Review of Relational Machine Learning for Knowledge Graphs
M Nickel, K Murphy, V Tresp, E Gabrilovich
arXiv preprint arXiv:1503.00759, 2015
8222015
Holographic embeddings of knowledge graphs.
M Nickel, L Rosasco, TA Poggio
AAAI 2 (1), 3.2, 2016
4892016
Poincaré Embeddings for Learning Hierarchical Representations
M Nickel, D Kiela
arXiv preprint arXiv:1705.08039, 2017
3682017
Factorizing YAGO: Scalable Machine Learning for Linked Data
M Nickel, V Tresp, HP Kriegel
Proceedings of the 21st International Conference on World Wide Web, 271-280, 2012
3672012
Learning continuous hierarchies in the lorentz model of hyperbolic geometry
M Nickel, D Kiela
arXiv preprint arXiv:1806.03417, 2018
1042018
Reducing the rank in relational factorization models by including observable patterns
M Nickel, X Jiang, V Tresp
Advances in Neural Information Processing Systems, 1179-1187, 2014
802014
Tensor factorization for multi-relational learning
M Nickel, V Tresp
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
712013
Hearst patterns revisited: Automatic hypernym detection from large text corpora
S Roller, D Kiela, M Nickel
arXiv preprint arXiv:1806.03191, 2018
492018
Logistic tensor factorization for multi-relational data
M Nickel, V Tresp
arXiv preprint arXiv:1306.2084, 2013
472013
Learning visually grounded sentence representations
D Kiela, A Conneau, A Jabri, M Nickel
arXiv preprint arXiv:1707.06320, 2017
372017
Non-negative tensor factorization with rescal
D Krompaß, M Nickel, X Jiang, V Tresp
Tensor Methods for Machine Learning, ECML workshop, 1-10, 2013
322013
Querying factorized probabilistic triple databases
D Krompaß, M Nickel, V Tresp
International Semantic Web Conference, 114-129, 2014
292014
Link Prediction in Multi-relational Graphs using Additive Models.
X Jiang, V Tresp, Y Huang, M Nickel
SeRSy 919, 1-12, 2012
292012
A scalable approach for statistical learning in semantic graphs
Y Huang, V Tresp, M Nickel, A Rettinger, HP Kriegel
Semantic Web 5 (1), 5-22, 2014
282014
Inferring concept hierarchies from text corpora via hyperbolic embeddings
M Le, S Roller, L Papaxanthos, D Kiela, M Nickel
arXiv preprint arXiv:1902.00913, 2019
232019
Complex and holographic embeddings of knowledge graphs: a comparison
T Trouillon, M Nickel
arXiv preprint arXiv:1707.01475, 2017
232017
An analysis of tensor models for learning on structured data
M Nickel, V Tresp
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2013
232013
Large-scale factorization of type-constrained multi-relational data
D Krompaß, M Nickel, V Tresp
2014 International Conference on Data Science and Advanced Analytics (DSAA …, 2014
182014
Separating self-expression and visual content in hashtag supervision
A Veit, M Nickel, S Belongie, L van der Maaten
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
162018
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