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Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction


Oct 15, 2021
Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert


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AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark


Sep 15, 2021
Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavaš


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BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens


Sep 14, 2021
Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert


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VEGN: Variant Effect Prediction with Graph Neural Networks


Jun 25, 2021
Jun Cheng, Carolin Lawrence, Mathias Niepert

* Accepted at Workshop on Computational Biology, co-located with the 38th International Conference on Machine Learning 

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Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions


Jun 03, 2021
Mathias Niepert, Pasquale Minervini, Luca Franceschi


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Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs


Nov 24, 2020
Cheng Wang, Carolin Lawrence, Mathias Niepert


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Explaining Neural Matrix Factorization with Gradient Rollback


Oct 14, 2020
Carolin Lawrence, Timo Sztyler, Mathias Niepert


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Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders


Apr 06, 2020
Bhushan Kotnis, Carolin Lawrence, Mathias Niepert

* 7 pages, 2 figures 

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Attending to Future Tokens For Bidirectional Sequence Generation


Sep 17, 2019
Carolin Lawrence, Bhushan Kotnis, Mathias Niepert

* Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019, Hong Kong, China 

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Learning Discrete Structures for Graph Neural Networks


May 17, 2019
Luca Franceschi, Mathias Niepert, Massimiliano Pontil, Xiao He

* To appear as a conference paper at ICML 2019, code at https://github.com/lucfra/LDS 

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RecSys-DAN: Discriminative Adversarial Networks for Cross-Domain Recommender Systems


Apr 10, 2019
Cheng Wang, Mathias Niepert, Hui Li

* 10 pages, IEEE-TNNLS 

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MMKG: Multi-Modal Knowledge Graphs


Mar 13, 2019
Ye Liu, Hui Li, Alberto Garcia-Duran, Mathias Niepert, Daniel Onoro-Rubio, David S. Rosenblum

* ESWC 2019 

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State-Regularized Recurrent Neural Networks


Jan 25, 2019
Cheng Wang, Mathias Niepert

* 20 pages 

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Learning Representations of Missing Data for Predicting Patient Outcomes


Nov 12, 2018
Brandon Malone, Alberto Garcia-Duran, Mathias Niepert


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Knowledge Graph Completion to Predict Polypharmacy Side Effects


Oct 22, 2018
Brandon Malone, Alberto García-Durán, Mathias Niepert

* 13th International Conference on Data Integration in the Life Sciences (DILS2018) 

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Learning Sequence Encoders for Temporal Knowledge Graph Completion


Sep 10, 2018
Alberto García-Durán, Sebastijan Dumančić, Mathias Niepert

* EMNLP'18 

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LRMM: Learning to Recommend with Missing Modalities


Aug 30, 2018
Cheng Wang, Mathias Niepert, Hui Li

* 11 pages, EMNLP 2018 

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On embeddings as an alternative paradigm for relational learning


Jul 02, 2018
Sebastijan Dumancic, Alberto Garcia-Duran, Mathias Niepert

* StarAI workshop @ IJCAI 2018 

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KBLRN : End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features


Jun 11, 2018
Alberto Garcia-Duran, Mathias Niepert

* UAI 2018 

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Contextual Hourglass Networks for Segmentation and Density Estimation


Jun 08, 2018
Daniel Oñoro-Rubio, Mathias Niepert


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Learning Short-Cut Connections for Object Counting


May 08, 2018
Daniel Oñoro-Rubio, Mathias Niepert, Roberto J. López-Sastre


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Towards a Spectrum of Graph Convolutional Networks


May 04, 2018
Mathias Niepert, Alberto Garcia-Duran


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BrainSlug: Transparent Acceleration of Deep Learning Through Depth-First Parallelism


Apr 23, 2018
Nicolas Weber, Florian Schmidt, Mathias Niepert, Felipe Huici

* Technical Report, 13 pages 

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TransRev: Modeling Reviews as Translations from Users to Items


Apr 18, 2018
Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio, Mathias Niepert, Hui Li


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Representation Learning for Visual-Relational Knowledge Graphs


Mar 31, 2018
Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto González, Roberto J. López-Sastre


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Representation Learning for Resource Usage Prediction


Feb 02, 2018
Florian Schmidt, Mathias Niepert, Felipe Huici

* 3 pages, 2 figures, SysML 2018 

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Learning Graph Representations with Embedding Propagation


Oct 09, 2017
Alberto Garcia-Duran, Mathias Niepert


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