Nickel, Maximilian

Poincaré Embeddings for Learning Hierarchical Representations

Nickel, M., & Kiela, D. (2017) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 667

Holographic embeddings of knowledge graphs

Nickel, M., Rosasco, L., & Poggio, T. (2016) · Proceedings of the AAAI Conference on Artificial Intelligence

Advanced Graph Neural NetworksTopic Modeling

Cited by 559

Factorizing YAGO: scalable machine learning for linked data

Nickel, M., Tresp, V., & Kriegel, H.-P. (2012) · Proceedings of the 21st international conference on World Wide Web

Semantic Web and OntologiesAdvanced Graph Neural Networks

Cited by 370

Flow Matching for Generative Modeling

Lipman, Y., Chen, R. T. Q., Ben-Hamu, H., Nickel, M., & Le, M. (2022) · arXiv

Generative Adversarial Networks and Image SynthesisModel Reduction and Neural Networks

Cited by 192

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

Nickel, M., & Kiela, D. (2018) · arXiv

Advanced Graph Neural NetworksTopic Modeling

Cited by 186

Task-Dependent Evaluation of LLM Output Homogenization: A Taxonomy-Guided Framework

Jain, S., Lanchantin, J., Nickel, M., Ross, C., Ullrich, K., Wilson, A., & Watson-Daniels, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0