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ORCIDVolker Tresp
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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2023
[j37]Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding. Neural Comput. 35(2): 156-227 (2023)- [c176]Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. AAAI 2023: 1188-1195 - [c175]Zhen Han, Ruotong Liao, Jindong Gu, Yao Zhang, Zifeng Ding, Yujia Gu, Heinz Koeppl, Hinrich Schütze, Volker Tresp:
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. ACL (Findings) 2023: 5433-5447 - [c174]Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp:
A Knowledge Graph Perspective on Supply Chain Resilience. D2R2 2023 - [c173]Alessandro Giovagnoli
, Volker Tresp, Yunpu Ma, Matthias Schubert:
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. GECCO Companion 2023: 647-650 - [c172]Zifeng Ding, Bailan He, Jingpei Wu, Yunpu Ma, Zhen Han, Volker Tresp:
Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. IJCNN 2023: 1-10 - [c171]Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp:
Adaptive Multi-Resolution Attention with Linear Complexity. IJCNN 2023: 1-8 - [c170]Thomas Decker, Michael Lebacher, Volker Tresp:
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. INDIN 2023: 1-6 - [c169]Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp:
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning. ECML/PKDD (3) 2023: 550-566 - [c168]Aneta Koleva, Martin Ringsquandl, Volker Tresp:
Adversarial Attacks on Tables with Entity Swap. VLDB Workshops 2023 - [i112]Soeren Nolting, Zhen Han, Volker Tresp:
Modeling the evolution of temporal knowledge graphs with uncertainty. CoRR abs/2301.04977 (2023) - [i111]Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp:
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning. CoRR abs/2304.00613 (2023) - [i110]Yushan Liu, Bailan He, Marcel Hildebrandt, Maximilian Buchner, Daniela Inzko, Roger Wernert, Emanuel Weigel, Dagmar Beyer, Martin Berbalk, Volker Tresp:
A Knowledge Graph Perspective on Supply Chain Resilience. CoRR abs/2305.08506 (2023) - [i109]Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl:
GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. CoRR abs/2305.17096 (2023) - [i108]Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip H. S. Torr, Volker Tresp:
Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. CoRR abs/2306.02080 (2023) - [i107]Gengyuan Zhang, Yurui Zhang, Kerui Zhang, Volker Tresp:
Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning. CoRR abs/2307.06166 (2023) - [i106]Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp:
Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge. CoRR abs/2307.10219 (2023) - [i105]Jindong Gu, Zhen Han, Shuo Chen, Ahmad Beirami, Bailan He, Gengyuan Zhang, Ruotong Liao, Yao Qin, Volker Tresp, Philip H. S. Torr:
A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. CoRR abs/2307.12980 (2023) - [i104]Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp:
FedPop: Federated Population-based Hyperparameter Tuning. CoRR abs/2308.08634 (2023) - [i103]Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp:
Multi-event Video-Text Retrieval. CoRR abs/2308.11551 (2023) - [i102]Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp:
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. CoRR abs/2308.12305 (2023) - 2022
- [j36]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Mikhail Galkin, Sahand Sharifzadeh, Asja Fischer, Volker Tresp, Jens Lehmann:
Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 8825-8845 (2022) - [c167]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Scene Graph Classification by Exploiting Knowledge from Texts. AAAI 2022: 2189-2197 - [c166]Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI 2022: 4120-4127 - [c165]Guirong Fu, Zhao Meng, Zhen Han, Zifeng Ding, Yunpu Ma, Matthias Schubert, Volker Tresp, Roger Wattenhofer:
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. SPNLP@ACL 2022: 22-31 - [c164]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. ACML 2022: 327-342 - [c163]Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers:
Biologically Inspired Neural Path Finding. BI 2022: 329-342 - [c162]Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr:
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. ECCV (29) 2022: 308-325 - [c161]Jindong Gu, Volker Tresp, Yao Qin:
Are Vision Transformers Robust to Patch Perturbations? ECCV (12) 2022: 404-421 - [c160]Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze:
Relationformer: A Unified Framework for Image-to-Graph Generation. ECCV (37) 2022: 422-439 - [c159]Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp:
Named Entity Recognition in Industrial Tables using Tabular Language Models. EMNLP (Industry Track) 2022: 348-356 - [c158]Ahmed Frikha, Denis Krompaß, Volker Tresp:
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. ICPR 2022: 1871-187 - [c157]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). IJCAI 2022: 5259-5263 - [c156]Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. IJCNN 2022: 1-8 - [i101]Charles Tapley Hoyt, Max Berrendorf, Mikhail Galkin, Volker Tresp, Benjamin M. Gyori:
A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs. CoRR abs/2203.07544 (2022) - [i100]Zhen Han, Ruotong Liao, Beiyan Liu, Yao Zhang, Zifeng Ding, Heinz Köppl, Hinrich Schütze, Volker Tresp:
Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. CoRR abs/2203.09590 (2022) - [i99]Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes C. Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern H. Menze:
Relationformer: A Unified Framework for Image-to-Graph Generation. CoRR abs/2203.10202 (2022) - [i98]Zifeng Ding, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp:
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. CoRR abs/2205.10621 (2022) - [i97]Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp:
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR abs/2205.14900 (2022) - [i96]Jin Guo, Zhen Han, Zhou Su, Jiliang Li, Volker Tresp, Yuyi Wang:
Continuous Temporal Graph Networks for Event-Based Graph Data. CoRR abs/2205.15924 (2022) - [i95]Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp:
On Calibration of Graph Neural Networks for Node Classification. CoRR abs/2206.01570 (2022) - [i94]Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers:
Biologically Inspired Neural Path Finding. CoRR abs/2206.05971 (2022) - [i93]Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr:
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. CoRR abs/2207.12391 (2022) - [i92]Zifeng Ding, Ruoxia Qi, Zongyue Li, Bailan He, Jingpei Wu, Yunpu Ma, Zhao Meng, Zhen Han, Volker Tresp:
Forecasting Question Answering over Temporal Knowledge Graphs. CoRR abs/2208.06501 (2022) - [i91]Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp:
InstanceFormer: An Online Video Instance Segmentation Framework. CoRR abs/2208.10547 (2022) - [i90]Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp:
Named Entity Recognition in Industrial Tables using Tabular Language Models. CoRR abs/2209.14812 (2022) - [i89]Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp:
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. CoRR abs/2211.08169 (2022) - [i88]Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp:
CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. CoRR abs/2211.10567 (2022) - [i87]Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp:
Do DALL-E and Flamingo Understand Each Other? CoRR abs/2212.12249 (2022) - 2021
- [j35]Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann:
PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings. J. Mach. Learn. Res. 22: 82:1-82:6 (2021) - [c155]Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. AAAI 2021: 5025-5033 - [c154]Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. AAAI 2021: 7448-7456 - [c153]Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp:
Description-based Label Attention Classifier for Explainable ICD-9 Classification. W-NUT 2021: 62-66 - [c152]Yunpu Ma, Volker Tresp:
Causal Inference under Networked Interference and Intervention Policy Enhancement. AISTATS 2021: 3700-3708 - [c151]Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. BMVC 2021: 209 - [c150]Jindong Gu, Volker Tresp, Han Hu:
Capsule Network Is Not More Robust Than Convolutional Network. CVPR 2021: 14309-14317 - [c149]Max Berrendorf, Evgeniy Faerman, Volker Tresp:
Active Learning for Entity Alignment. ECIR (1) 2021: 48-62 - [c148]Zhen Han, Gengyuan Zhang, Yunpu Ma, Volker Tresp:
Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework. EMNLP (1) 2021: 8104-8118 - [c147]Zhen Han, Zifeng Ding, Yunpu Ma, Yujia Gu, Volker Tresp:
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. EMNLP (1) 2021: 8352-8364 - [c146]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. ESWC 2021: 375-391 - [c145]Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. ICHI 2021: 63-72 - [c144]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. ICLR 2021 - [c143]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. ICLR 2021 - [c142]Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu:
Mutual Information State Intrinsic Control. ICLR 2021 - [c141]Jindong Gu, Rui Zhao, Volker Tresp:
Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. IJCNN 2021: 1-8 - [c140]Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp:
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. MLHC 2021: 54-79 - [c139]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC 2021: 74-92 - [c138]Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann:
Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering. ISWC 2021: 111-127 - [c137]Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl:
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. SSDBM 2021: 121-132 - [e3]Mehwish Alam, Mehdi Ali, Paul Groth, Pascal Hitzler, Jens Lehmann, Heiko Paulheim, Achim Rettinger, Harald Sack, Afshin Sadeghi, Volker Tresp:
Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021. CEUR Workshop Proceedings 2997, CEUR-WS.org 2021 [contents] - [i86]Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp:
Temporal Knowledge Graph Forecasting with Neural ODE. CoRR abs/2101.05151 (2021) - [i85]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Visual Reasoning by Exploiting The Knowledge in Texts. CoRR abs/2102.04760 (2021) - [i84]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. CoRR abs/2102.10055 (2021) - [i83]Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl:
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. CoRR abs/2103.03939 (2021) - [i82]Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu:
Mutual Information State Intrinsic Control. CoRR abs/2103.08107 (2021) - [i81]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp:
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR abs/2103.10367 (2021) - [i80]Jindong Gu, Volker Tresp, Han Hu:
Capsule Network is Not More Robust than Convolutional Network. CoRR abs/2103.15459 (2021) - [i79]Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. CoRR abs/2106.00638 (2021) - [i78]Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann:
Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR abs/2107.04894 (2021) - [i77]Rajat Koner, Poulami Sinhamahapatra, Volker Tresp:
Scenes and Surroundings: Scene Graph Generation using Relation Transformer. CoRR abs/2107.05448 (2021) - [i76]Rajat Koner, Hang Li, Marcel Hildebrandt, Deepan Das, Volker Tresp, Stephan Günnemann:
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering. CoRR abs/2107.06325 (2021) - [i75]Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. CoRR abs/2107.08976 (2021) - [i74]Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp:
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. CoRR abs/2107.12250 (2021) - [i73]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. CoRR abs/2108.01701 (2021) - [i72]Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp:
Adaptive Multi-Resolution Attention with Linear Complexity. CoRR abs/2108.04962 (2021) - [i71]Ahmed Frikha, Denis Krompaß, Volker Tresp:
COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. CoRR abs/2109.04320 (2021) - [i70]Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp:
Description-based Label Attention Classifier for Explainable ICD-9 Classification. CoRR abs/2109.12026 (2021) - [i69]Volker Tresp, Sahand Sharifzadeh, Hang Li, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding. CoRR abs/2109.13392 (2021) - [i68]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. CoRR abs/2110.04545 (2021) - [i67]Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Generating Table Vector Representations. CoRR abs/2110.15132 (2021) - [i66]Jindong Gu, Volker Tresp, Yao Qin:
Are Vision Transformers Robust to Patch Perturbations? CoRR abs/2111.10659 (2021) - [i65]Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr:
Adversarial Examples on Segmentation Models Can be Easy to Transfer. CoRR abs/2111.11368 (2021) - [i64]Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp:
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. CoRR abs/2112.07791 (2021) - [i63]Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp:
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. CoRR abs/2112.08025 (2021) - 2020
- [j34]Dietrich Trautmann, Michael Fromm, Volker Tresp, Thomas Seidl, Hinrich Schütze:
Relational and Fine-Grained Argument Mining. Datenbank-Spektrum 20(2): 99-105 (2020) - [j33]Heiko Paulheim, Volker Tresp, Zhiyuan Liu:
Representation Learning for the Semantic Web. J. Web Semant. 61-62: 100570 (2020) - [c136]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. AAAI 2020: 4123-4131 - [c135]Jindong Gu, Zhiliang Wu, Volker Tresp:
Introspective Learning by Distilling Knowledge from Online Self-explanation. ACCV (4) 2020: 36-52 - [c134]Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp:
Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. AKBC 2020 - [c133]Mehwish Alam, Paul Groth, Pascal Hitzler, Heiko Paulheim, Harald Sack, Volker Tresp:
CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. CIKM 2020: 3523-3524 - [c132]Yunpu Ma, Zhen Han, Volker Tresp:
Learning with Temporal Knowledge Graphs. CIKM (Workshops) 2020 - [c131]Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du:
Controllable Multi-Character Psychology-Oriented Story Generation. CIKM 2020: 1675-1684 - [c130]Jindong Gu, Volker Tresp:
Improving the Robustness of Capsule Networks to Image Affine Transformations. CVPR 2020: 7283-7291 - [c129]Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. ECAI 2020: 1159-1165 - [c128]Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl:
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. ECIR (2) 2020: 3-11 - [c127]Martin Schmitt, Sahand Sharifzadeh, Volker Tresp, Hinrich Schütze:
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. EMNLP (1) 2020: 7117-7130 - [c126]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. EMNLP (1) 2020: 7301-7316 - [c125]Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen:
Künstliche Intelligenz - Die dritte Welle. GI-Jahrestagung 2020: 91-95 - [c124]Mahdyar Ravanbakhsh, Vadim Tschernezki, Felix Last, Tassilo Klein, Kayhan Batmanghelich, Volker Tresp, Moin Nabi:
Human-Machine Collaboration for Medical Image Segmentation. ICASSP 2020: 1040-1044 - [c123]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. ICHI 2020: 1-11 - [c122]Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. ICPR 2020: 3597-3604 - [c121]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. ICPR 2020: 10449-10456 - [c120]Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp:
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods. WI/IAT 2020: 371-374 - [i62]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Reasoning on Knowledge Graphs with Debate Dynamics. CoRR abs/2001.00461 (2020) - [i61]Yunpu Ma, Yuyi Wang, Volker Tresp:
Quantum Machine Learning Algorithm for Knowledge Graphs. CoRR abs/2001.01077 (2020) - [i60]Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. CoRR abs/2001.03436 (2020) - [i59]Max Berrendorf, Evgeniy Faerman, Volker Tresp:
Active Learning for Entity Alignment. CoRR abs/2001.08943 (2020) - [i58]Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: Semantic Decoding for Perception and Memory. CoRR abs/2001.11027 (2020) - [i57]Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. CoRR abs/2001.11612 (2020) - [i56]Rui Zhao, Volker Tresp, Wei Xu:
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning. CoRR abs/2002.01963 (2020) - [i55]Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp:
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank. CoRR abs/2002.06914 (2020) - [i54]