Volker Tresp

Most-cited papers

A Review of Relational Machine Learning for Knowledge Graphs
Maximilian Nickel, Kevin P. Murphy, Volker Tresp, E. Gabrilovich
2015Proceedings of the IEEE1,798 citations Open access
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Tensor-Train Recurrent Neural Networks for Video Classification
Yinchong Yang, D. Krompass, Volker Tresp
2017International Conference on Machine Learning279 citations
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Type-Constrained Representation Learning in Knowledge Graphs
D. Krompass, S. Baier, Volker Tresp
2015International Workshop on the Semantic Web251 citations Open access
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Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
Cristóbal Esteban, O. Staeck, S. Baier, Yinchong Yang +1 more
2016IEEE International Conference on Healthcare Informatics173 citations Open access
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Embedding models for episodic knowledge graphs
Yunpu Ma, Volker Tresp, Erik Daxberger
2018Journal of Web Semantics143 citations Open access
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Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare
Volker Tresp, J. Overhage, Markus Bundschus, S. Rabizadeh +2 more
2016Proceedings of the IEEE133 citations Open access
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Predicting Visual Acuity by Using Machine Learning in Patients Treated for Neovascular Age-Related Macular Degeneration.
M. Rohm, Volker Tresp, Michael Müller, C. Kern +6 more
2018Ophthalmology (Rochester, Minn.)115 citations Open access
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Understanding Individual Decisions of CNNs via Contrastive Backpropagation
Jindong Gu, Yinchong Yang, Volker Tresp
2018Asian Conference on Computer Vision108 citations Open access
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Are Vision Transformers Robust to Patch Perturbations?
Jindong Gu, Volker Tresp, Yao Qin
2021European Conference on Computer Vision103 citations Open access
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Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Rui Zhao, Xu-Dong Sun, Volker Tresp
2019International Conference on Machine Learning102 citations
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Reducing the Rank in Relational Factorization Models by Including Observable Patterns
Maximilian Nickel, Xueyan Jiang, Volker Tresp
2014Neural Information Processing Systems89 citations
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Energy-Based Hindsight Experience Prioritization
Rui Zhao, Volker Tresp
2018Conference on Robot Learning86 citations
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Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks
Yinchong Yang, Volker Tresp, M. Wunderle, P. Fasching
2018IEEE International Conference on Healthcare Informatics79 citations
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Few-Shot One-Class Classification via Meta-Learning
A. Frikha, D. Krompass, Hans-Georg Köpken, Volker Tresp
2019AAAI Conference on Artificial Intelligence70 citations Open access
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Improving the Robustness of Capsule Networks to Image Affine Transformations
Jindong Gu, Volker Tresp
2019Computer Vision and Pattern Recognition66 citations Open access
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Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao, Volker Tresp
2018arXiv.org62 citations
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Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions
S. Baier, Yunpu Ma, Volker Tresp
2017International Workshop on the Semantic Web61 citations Open access
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Reasoning on Knowledge Graphs with Debate Dynamics
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl +2 more
2020AAAI Conference on Artificial Intelligence60 citations Open access
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Big Data: Practical Applications
S. Haykin, Volker Tresp, J. Benediktsson
201652 citations
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Predicting the co-evolution of event and Knowledge Graphs
Cristóbal Esteban, Volker Tresp, Yinchong Yang, S. Baier +1 more
2015Fusion49 citations
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The Perceptron
Volker Tresp, F. Rosenblatt
2019Principles of Artificial Neural Networks47 citations
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Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model
Cristóbal Esteban, D. Schmidt, D. Krompass, Volker Tresp
20152015 International Conference on Healthcare Informatics44 citations
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An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing
Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze
2019Conference on Empirical Methods in Natural Language Processing43 citations Open access
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Embedding Learning for Declarative Memories
Volker Tresp, Yunpu Ma, S. Baier, Yinchong Yang
2017Extended Semantic Web Conference42 citations
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Relation Transformer Network
Rajat Koner, Poulami Sinhamahapatra, Volker Tresp
2020arXiv.org37 citations
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Saliency Methods for Explaining Adversarial Attacks
Jindong Gu, Volker Tresp
2019arXiv.org37 citations
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Querying Factorized Probabilistic Triple Databases
D. Krompass, Maximilian Nickel, Volker Tresp
2014International Workshop on the Semantic Web33 citations Open access
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Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation
I. Manakov, M. Rohm, C. Kern, Benedikt Schworm +2 more
2019DART/MIL3ID@MICCAI31 citations Open access
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Learning with Memory Embeddings
Volker Tresp, Cristóbal Esteban, Yinchong Yang, S. Baier +1 more
2015arXiv.org31 citations
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The Clinical Data Intelligence Project
Daniel Sonntag, Volker Tresp, Sonja Zillner, A. Cavallaro +12 more
2015Informatik-Spektrum31 citations
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A scalable approach for statistical learning in semantic graphs
Yi Huang, Volker Tresp, Maximilian Nickel, Achim Rettinger +1 more
2014Semantic Web31 citations
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Variational Quantum Circuit Model for Knowledge Graph Embedding
Yunpu Ma, Volker Tresp, Liming Zhao, Yu-Yi Wang
2019Advanced Quantum Technologies29 citations Open access
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Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder
Yinchong Yang, P. Fasching, Volker Tresp
2017IEEE International Conference on Healthcare Informatics29 citations
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Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
Yize Sun, Yunpu Ma, Volker Tresp
2023International Conference on Quantum Computing and Engineering27 citations Open access
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Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs
Zhen Han, Yu-Yi Wang, Yunpu Ma, Stephan Günnemann +1 more
2020arXiv.org25 citations
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Holistic Representations for Memorization and Inference
Yunpu Ma, Marcel Hildebrandt, Volker Tresp, S. Baier
2018Conference on Uncertainty in Artificial Intelligence25 citations
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Search for Better Students to Learn Distilled Knowledge
Jindong Gu, Volker Tresp
2020European Conference on Artificial Intelligence24 citations Open access
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Improving Visual Relation Detection using Depth Maps
Sahand Sharifzadeh, Sina Moayed Baharlou, M. Berrendorf, Volker Tresp
2019International Conference on Pattern Recognition24 citations Open access
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Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient
Rui Zhao, Volker Tresp
2018LaCATODA@IJCAI21 citations
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Ensemble Solutions for Link-Prediction in Knowledge Graphs
D. Krompass, Volker Tresp
201521 citations
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Large-scale factorization of type-constrained multi-relational data
D. Krompass, Maximilian Nickel, Volker Tresp
2014International Conference on Data Science and Advanced Analytics21 citations Open access
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Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning
Thomas Decker, Michael Lebacher, Volker Tresp
2023IEEE International Conference on Acoustics, Speech, and Signal Processing20 citations Open access
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Quantum Machine Learning Algorithm for Knowledge Graphs
Yunpu Ma, Yu-Yi Wang, Volker Tresp
2020ACM Transactions on Quantum Computing20 citations Open access
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Active Learning for Entity Alignment
M. Berrendorf, Evgeniy Faerman, Volker Tresp
2020European Conference on Information Retrieval20 citations Open access
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Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
M. Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp +1 more
2019European Conference on Information Retrieval20 citations Open access
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A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context
Marcel Hildebrandt, S. S. Sunder, Serghei Mogoreanu, M. Joblin +3 more
2019Extended Semantic Web Conference19 citations Open access
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Adversarial Examples on Segmentation Models Can be Easy to Transfer
Jindong Gu, Hengshuang Zhao, Volker Tresp, P. Torr
2021arXiv.org16 citations
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Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods
M. Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp
20202020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)16 citations
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Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models
Yinchong Yang, P. Fasching, Volker Tresp
2017Machine Learning in Health Care15 citations
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HUMAN-MACHINE COLLABORATION FOR MEDICAL IMAGE SEGMENTATION
Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein +3 more
2020IEEE International Conference on Acoustics, Speech, and Signal Processing14 citations Open access
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