Search Results - "Nickel, Maximilian" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

A Review of Relational Machine Learning for Knowledge Graphs

A Review of Relational Machine Learning for Knowledge Graphs

by Nickel, Maximilian, Murphy, Kevin, Tresp, Volker, Gabrilovich, Evgeniy
Published in Proceedings of the IEEE (01.01.2016)

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Journal Article

Poincaré maps for analyzing complex hierarchies in single-cell data

Poincaré maps for analyzing complex hierarchies in single-cell data

by Klimovskaia, Anna, Lopez-Paz, David, Bottou, Léon, Nickel, Maximilian
Published in Nature communications (11.06.2020)

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Journal Article

Task-Driven Modular Networks for Zero-Shot Compositional Learning

Task-Driven Modular Networks for Zero-Shot Compositional Learning

by Purushwalkam, Senthil, Nickel, Maximillian, Gupta, Abhinav, Ranzato, Marc'aurelio
Published in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (01.10.2019)

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Conference Proceeding

Large-scale factorization of type-constrained multi-relational data

Large-scale factorization of type-constrained multi-relational data

by Krompass, Denis, Nickel, Maximilian, Tresp, Volker
Published in 2014 International Conference on Data Science and Advanced Analytics (DSAA) (01.10.2014)

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Conference Proceeding

Separating Self-Expression and Visual Content in Hashtag Supervision

Separating Self-Expression and Visual Content in Hashtag Supervision

by Veit, Andreas, Nickel, Maximilian, Belongie, Serge, van der Maaten, Laurens
Published in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (01.06.2018)

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Conference Proceeding

Tensor Factorization for Multi-relational Learning

Tensor Factorization for Multi-relational Learning

by Nickel, Maximilian, Tresp, Volker
Published in Machine Learning and Knowledge Discovery in Databases (2013)

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Book Chapter

An Analysis of Tensor Models for Learning on Structured Data

An Analysis of Tensor Models for Learning on Structured Data

by Nickel, Maximilian, Tresp, Volker
Published in Machine Learning and Knowledge Discovery in Databases (2013)

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Book Chapter

Riemannian Continuous Normalizing Flows

Riemannian Continuous Normalizing Flows

by Mathieu, Emile, Nickel, Maximilian
Year of Publication 18.06.2020

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Journal Article

Learning Multivariate Hawkes Processes at Scale

Learning Multivariate Hawkes Processes at Scale

by Nickel, Maximilian, Le, Matthew
Year of Publication 27.02.2020

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Journal Article

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes

by Agarwal, Arpit, Usunier, Nicolas, Lazaric, Alessandro, Nickel, Maximilian
Year of Publication 29.05.2024

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Journal Article

Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test

Weisfeiler and Leman Go Measurement Modeling: Probing the Validity of the WL Test

by Subramonian, Arjun, Williams, Adina, Nickel, Maximilian, Sun, Yizhou, Sagun, Levent
Year of Publication 11.07.2023

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Journal Article

Group fairness without demographics using social networks

Group fairness without demographics using social networks

by Liu, David, Do, Virginie, Usunier, Nicolas, Nickel, Maximilian
Published in arXiv.org (19.05.2023)

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Paper Journal Article

Hyperbolic Image-Text Representations

Hyperbolic Image-Text Representations

by Desai, Karan, Nickel, Maximilian, Rajpurohit, Tanmay, Johnson, Justin, Vedantam, Ramakrishna
Year of Publication 18.04.2023

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Journal Article

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

Learning Continuous Hierarchies in the Lorentz Model of Hyperbolic Geometry

by Nickel, Maximilian, Kiela, Douwe
Year of Publication 09.06.2018

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Journal Article

Complex and Holographic Embeddings of Knowledge Graphs: A Comparison

Complex and Holographic Embeddings of Knowledge Graphs: A Comparison

by Trouillon, Théo, Nickel, Maximilian
Year of Publication 05.07.2017

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Journal Article

$Poincar\'e Embeddings for Learning Hierarchical Representations$

Poincar\'e Embeddings for Learning Hierarchical Representations

by Nickel, Maximilian, Kiela, Douwe
Year of Publication 22.05.2017

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Journal Article

Semi-Discrete Normalizing Flows through Differentiable Tessellation

Semi-Discrete Normalizing Flows through Differentiable Tessellation

by Chen, Ricky T. Q, Amos, Brandon, Nickel, Maximilian
Year of Publication 13.03.2022

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Journal Article

$Generalized Schr\"odinger Bridge Matching$

Generalized Schr\"odinger Bridge Matching

by Liu, Guan-Horng, Lipman, Yaron, Nickel, Maximilian, Karrer, Brian, Theodorou, Evangelos A, Chen, Ricky T. Q
Year of Publication 03.10.2023

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Journal Article

Riemannian Continuous Normalizing Flows

Riemannian Continuous Normalizing Flows

by Mathieu, Emile, Nickel, Maximilian
Published in arXiv.org (09.12.2020)

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Paper

On Kinetic Optimal Probability Paths for Generative Models

On Kinetic Optimal Probability Paths for Generative Models

by Shaul, Neta, Chen, Ricky T. Q, Nickel, Maximilian, Le, Matt, Lipman, Yaron
Year of Publication 11.06.2023

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Journal Article