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Volker Tresp
Controllable Multi-Character Psychology-Oriented Story Generation

Oct 11, 2020
Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du

* Accepted by CIKM2020 
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Introspective Learning by Distilling Knowledge from Online Self-explanation

Sep 19, 2020
Jindong Gu, Zhiliang Wu, Volker Tresp

* 15th Asian Conference on Computer Vision (ACCV) 2020 
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ARCADe: A Rapid Continual Anomaly Detector

Aug 10, 2020
Ahmed Frikha, Denis Krompaß, Volker Tresp


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PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

Jul 30, 2020
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann


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PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Emebddings

Jul 28, 2020
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann


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Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing

Jul 10, 2020
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp

* Accepted at the ICML 2020 Workshop Graph Representation Learning and Beyond (GRL+) 
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Few-Shot One-Class Classification via Meta-Learning

Jul 08, 2020
Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp


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Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score

Jul 02, 2020
Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp


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Scene Graph Reasoning for Visual Question Answering

Jul 02, 2020
Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann

* ICML Workshop Graph Representation Learning and Beyond (GRL+) 
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Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

Jun 23, 2020
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann


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Relation Transformer Network

Apr 13, 2020
Rajat Koner, Poulami Sinhamahapatra, Volker Tresp


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Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

Mar 31, 2020
Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Günnemann, Volker Tresp

* Workshop on learning with temporal point processes, NeurIPS 2019 
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The Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs

Mar 30, 2020
Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Guünnemann, Volker Tresp

* Workshop on learning with temporal point processes, NeurIPS 2019 
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Causal Inference under Networked Interference

Feb 20, 2020
Yunpu Ma, Yuyi Wang, Volker Tresp


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Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank

Feb 17, 2020
Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp


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The Tensor Brain: Semantic Decoding for Perception and Memory

Feb 10, 2020
Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma


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Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning

Feb 05, 2020
Rui Zhao, Volker Tresp, Wei Xu

* 12 pages, 8 figures 
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Search for Better Students to Learn Distilled Knowledge

Jan 30, 2020
Jindong Gu, Volker Tresp

* 24th European Conference on Artificial Intelligence (ECAI), 2020 
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Active Learning for Entity Alignment

Jan 24, 2020
Max Berrendorf, Evgeniy Faerman, Volker Tresp


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Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs

Jan 09, 2020
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

* AAAI 2019 Fall Symposium Series. arXiv admin note: substantial text overlap with arXiv:2001.00461 
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Quantum Machine Learning Algorithm for Knowledge Graphs

Jan 04, 2020
Yunpu Ma, Yuyi Wang, Volker Tresp


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Reasoning on Knowledge Graphs with Debate Dynamics

Jan 02, 2020
Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

* AAAI-2020 
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Neural Network Memorization Dissection

Nov 21, 2019
Jindong Gu, Volker Tresp

* Workshop on Machine Learning with Guarantees, NeurIPS 2019 
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Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned

Nov 19, 2019
Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl


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Improving the Robustness of Capsule Networks to Image Affine Transformations

Nov 18, 2019
Jindong Gu, Volker Tresp


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Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck

Nov 18, 2019
Ilja Manakov, Markus Rohm, Volker Tresp

* code available at https://github.com/YmouslyAnon/WalkingTheTightrope 
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Contextual Prediction Difference Analysis

Oct 21, 2019
Jindong Gu, Volker Tresp


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Semantics for Global and Local Interpretation of Deep Neural Networks

Oct 21, 2019
Jindong Gu, Volker Tresp


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Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders

Oct 07, 2019
Ilja Manakov, Volker Tresp

* Accepted as a workshop paper at MEDNeurIPS 2019 
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