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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2025
[j38]Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Michael M. Bronstein, Yunpu Ma:
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. Trans. Mach. Learn. Res. 2025 (2025)- [c211]Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp:
FedPop: Federated Population-based Hyperparameter Tuning. AAAI 2025: 15776-15784 - [c210]Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp:
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration. AAAI 2025: 23378-23386 - [c209]Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu:
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? WACV 2025: 6000-6010 - [c208]Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp:
CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. WACV 2025: 6269-6278 - [c207]Roberto Amoroso, Gengyuan Zhang, Rajat Koner, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp:
Perceive. Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. WACV 2025: 8853-8862 - [i150]Tong Liu, Xiao Yu, Wenxuan Zhou, Jindong Gu, Volker Tresp:
FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. CoRR abs/2501.06645 (2025) - [i149]Jinhe Bi, Yifan Wang, Danqi Yan, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma:
PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection. CoRR abs/2502.12119 (2025) - [i148]Gengyuan Zhang, Mingcong Ding, Tong Liu, Yao Zhang, Volker Tresp:
Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs. CoRR abs/2502.15457 (2025) - [i147]Yuan He, Bailan He, Zifeng Ding, Alisia Lupidi, Yuqicheng Zhu, Shuo Chen, Caiqi Zhang, Jiaoyan Chen, Yunpu Ma, Volker Tresp, Ian Horrocks:
Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. CoRR abs/2503.22362 (2025) - [i146]Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner:
Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. CoRR abs/2505.07023 (2025) - [i145]Jinhe Bi, Danqi Yan, Yifan Wang, Wenke Huang, Haokun Chen, Guancheng Wan
, Mang Ye, Xun Xiao, Hinrich Schütze, Volker Tresp, Yunpu Ma:
CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. CoRR abs/2505.13408 (2025) - [i144]Haokun Chen, Yueqi Zhang, Yuan Bi, Yao Zhang, Tong Liu, Jinhe Bi, Jian Lan, Jindong Gu, Claudia Grosser, Denis Krompass, Nassir Navab, Volker Tresp:
Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs. CoRR abs/2505.23270 (2025) - 2024
- [c206]Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp:
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. AAAI 2024: 11285-11293 - [c205]Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu:
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. CVPR 2024: 12006-12016 - [c204]Bailan He, Yushan Liu, Marcel Hildebrandt, Zifeng Ding, Yaomengxi Han, Volker Tresp:
An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. D2R2 2024 - [c203]Rajat Koner, Gagan Jain, Prateek Jain, Volker Tresp, Sujoy Paul:
LookupViT: Compressing Visual Information to a Limited Number of Tokens. ECCV (86) 2024: 322-337 - [c202]Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, Volker Tresp:
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. EMNLP (Findings) 2024: 355-373 - [c201]Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu:
Visual Question Decomposition on Multimodal Large Language Models. EMNLP (Findings) 2024: 1926-1949 - [c200]Ruotong Liao, Max Erler, Huiyu Wang, Guangyao Zhai, Gengyuan Zhang, Yunpu Ma, Volker Tresp:
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs. EMNLP (Findings) 2024: 6577-6602 - [c199]Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp:
Why long model-based rollouts are no reason for bad Q-value estimates. ESANN 2024 - [c198]Yaomengxi Han, Zifeng Ding, Yushan Liu, Bailan He, Volker Tresp:
Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models. ESWC Satellite Events (1) 2024: 223-227 - [c197]Yize Sun, Jiarui Liu, Yunpu Ma, Volker Tresp:
Differentiable Quantum Architecture Search For Job Shop Scheduling Problem. ICASSP 2024: 236-240 - [c196]Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner:
Provably Better Explanations with Optimized Aggregation of Feature Attributions. ICML 2024 - [c195]Tanveer Hannan, Rajat Koner, Maximilian Bernhard, Suprosanna Shit, Bjoern H. Menze, Volker Tresp, Matthias Schubert, Thomas Seidl:
GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation. ICPR (16) 2024: 268-282 - [c194]Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner:
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. KDD 2024: 550-561 - [c193]Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp:
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. NAACL-HLT 2024: 1877-1895 - [c192]Ruotong Liao, Xu Jia, Yangzhe Li, Yunpu Ma, Volker Tresp:
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. NAACL-HLT (Findings) 2024: 4303-4317 - [c191]Gengyuan Zhang, Yurui Zhang, Kerui Zhang, Volker Tresp:
Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning. WACV 2024: 625-634 - [c190]Maximilian Bernhard, Roberto Amoroso, Yannic Kindermann, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp, Matthias Schubert:
What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. WACV 2024: 957-966 - [c189]Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp:
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. WACV 2024: 5551-5561 - [i143]Yize Sun, Zixin Wu, Yunpu Ma, Volker Tresp:
Quantum Architecture Search with Unsupervised Representation Learning. CoRR abs/2401.11576 (2024) - [i142]Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip Torr, Jindong Gu:
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. CoRR abs/2402.14899 (2024) - [i141]Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp:
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. CoRR abs/2403.04577 (2024) - [i140]Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu:
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? CoRR abs/2404.03411 (2024) - [i139]Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner:
Provably Better Explanations with Optimized Aggregation of Feature Attributions. CoRR abs/2406.05090 (2024) - [i138]Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu:
Localizing Events in Videos with Multimodal Queries. CoRR abs/2406.10079 (2024) - [i137]Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp:
Why long model-based rollouts are no reason for bad Q-value estimates. CoRR abs/2407.11751 (2024) - [i136]Rajat Koner, Gagan Jain, Prateek Jain, Volker Tresp, Sujoy Paul:
LookupViT: Compressing visual information to a limited number of tokens. CoRR abs/2407.12753 (2024) - [i135]Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Yunpu Ma, Michael M. Bronstein:
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. CoRR abs/2408.04713 (2024) - [i134]Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner:
Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. CoRR abs/2408.13648 (2024) - [i133]Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp:
WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration. CoRR abs/2408.15978 (2024) - [i132]Volker Tresp, Hang Li:
How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Decode Symbols. CoRR abs/2409.12846 (2024) - [i131]Tong Liu, Zhixin Lai, Gengyuan Zhang, Philip Torr, Vera Demberg, Volker Tresp, Jindong Gu:
Multimodal Pragmatic Jailbreak on Text-to-image Models. CoRR abs/2409.19149 (2024) - [i130]Haowei Zhang, Jianzhe Liu, Zhen Han, Shuo Chen, Bailan He, Volker Tresp, Zhiqiang Xu, Jindong Gu:
Visual Question Decomposition on Multimodal Large Language Models. CoRR abs/2409.19339 (2024) - [i129]Ruotong Liao, Max Erler, Huiyu Wang, Guangyao Zhai, Gengyuan Zhang, Yunpu Ma, Volker Tresp:
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs. CoRR abs/2409.20365 (2024) - [i128]Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp:
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. CoRR abs/2410.04810 (2024) - [i127]Yilun Liu, Yunpu Ma, Shuo Chen, Zifeng Ding, Bailan He, Zhen Han, Volker Tresp:
PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. CoRR abs/2411.08212 (2024) - [i126]Jinhe Bi, Yujun Wang, Haokun Chen, Xun Xiao, Artur Hecker, Volker Tresp, Yunpu Ma:
Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. CoRR abs/2412.12359 (2024) - [i125]Roberto Amoroso, Gengyuan Zhang, Rajat Koner, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp:
Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. CoRR abs/2412.19304 (2024) - 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) - [c188]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 - [c187]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 - [c186]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 - [c185]Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert:
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. GECCO Companion 2023: 647-650 - [c184]Thomas Decker, Michael Lebacher, Volker Tresp:
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. ICASSP 2023: 1-5 - [c183]Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp:
Do DALL-E and Flamingo Understand Each Other? ICCV 2023: 1999-2010 - [c182]Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp:
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV 2023: 4826-4836 - [c181]Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp:
Multi-event Video-Text Retrieval. ICCV 2023: 22056-22066 - [c180]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 - [c179]Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp:
Adaptive Multi-Resolution Attention with Linear Complexity. IJCNN 2023: 1-8 - [c178]Thomas Decker, Michael Lebacher, Volker Tresp:
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. INDIN 2023: 1-6 - [c177]Zifeng Ding, Yunpu Ma, Bailan He, Jingpei Wu, Zhen Han, Volker Tresp:
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. IntelliSys (3) 2023: 729-747 - [c176]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. NeurIPS 2023 - [c175]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 - [c174]Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer:
Workshop Summary: Quantum Machine Learning. QCE 2023: 1-3 - [c173]Yize Sun, Yunpu Ma, Volker Tresp:
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. QCE 2023: 15-19 - [c172]Zifeng Ding, Zongyue Li, Ruoxia Qi, Jingpei Wu, Bailan He, Yunpu Ma, Zhao Meng, Shuo Chen, Ruotong Liao, Zhen Han, Volker Tresp:
ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. ISWC 2023: 541-560 - [c171]Aneta Koleva, Martin Ringsquandl, Volker Tresp:
Adversarial Attacks on Tables with Entity Swap. VLDB Workshops 2023 - [i124]Soeren Nolting, Zhen Han, Volker Tresp:
Modeling the evolution of temporal knowledge graphs with uncertainty. CoRR abs/2301.04977 (2023) - [i123]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) - [i122]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) - [i121]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) - [i120]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) - [i119]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) - [i118]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) - [i117]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) - [i116]Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp:
FedPop: Federated Population-based Hyperparameter Tuning. CoRR abs/2308.08634 (2023) - [i115]Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp:
Multi-event Video-Text Retrieval. CoRR abs/2308.11551 (2023) - [i114]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) - [i113]Aneta Koleva, Martin Ringsquandl, Volker Tresp:
Adversarial Attacks on Tables with Entity Swap. CoRR abs/2309.08650 (2023) - [i112]Yize Sun, Yunpu Ma, Volker Tresp:
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. CoRR abs/2309.10392 (2023) - [i111]Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp:
GenTKG: Generative Forecasting on Temporal Knowledge Graph. CoRR abs/2310.07793 (2023) - [i110]Yuanchun Shen, Ruotong Liao, Zhen Han, Yunpu Ma, Volker Tresp:
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models. CoRR abs/2310.08487 (2023) - [i109]Thomas Decker, Michael Lebacher, Volker Tresp:
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. CoRR abs/2310.11450 (2023) - [i108]Thomas Decker, Michael Lebacher, Volker Tresp:
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. CoRR abs/2310.12967 (2023) - [i107]Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp:
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. CoRR abs/2311.03964 (2023) - [i106]Zifeng Ding, Heling Cai, Jingpei Wu, Yunpu Ma, Ruotong Liao, Bo Xiong, Volker Tresp:
Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. CoRR abs/2311.10112 (2023) - [i105]Gengyuan Zhang, Jinhe Bi, Jindong Gu, Volker Tresp:
SPOT! Revisiting Video-Language Models for Event Understanding. CoRR abs/2311.12919 (2023) - [i104]Hang Li, Chengzhi Shen, Philip H. S. Torr, Volker Tresp, Jindong Gu:
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. CoRR abs/2311.17216 (2023) - [i103]Shuo Chen, Zhen Han, Bailan He, Mark Buckley, Philip H. S. Torr, Volker Tresp, Jindong Gu:
Understanding and Improving In-Context Learning on Vision-language Models. CoRR abs/2311.18021 (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) - [c170]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Scene Graph Classification by Exploiting Knowledge from Texts. AAAI 2022: 2189-2197 - [c169]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 - [c168]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 - [c167]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. ACML 2022: 327-342 - [c166]Zifeng Ding, Jingpei Wu, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp:
Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. AKBC 2022 - [c165]Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers:
Biologically Inspired Neural Path Finding. BI 2022: 329-342 - [c164]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 - [c163]Jindong Gu, Volker Tresp, Yao Qin:
Are Vision Transformers Robust to Patch Perturbations? ECCV (12) 2022: 404-421 - [c162]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 - [c161]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 - [c160]Ahmed Frikha, Denis Krompaß, Volker Tresp:
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. ICPR 2022: 1871-187 - [c159]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 - [c158]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 - [i102]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) - [i101]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) - [i100]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) - [i99]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) - [i98]Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp:
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR abs/2205.14900 (2022) - [i97]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) - [i96]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) - [i95]Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers:
Biologically Inspired Neural Path Finding. CoRR abs/2206.05971 (2022) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [c157]Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. AAAI 2021: 5025-5033 - [c156]Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. AAAI 2021: 7448-7456 - [c155]Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp:
Description-based Label Attention Classifier for Explainable ICD-9 Classification. W-NUT 2021: 62-66 - [c154]Yunpu Ma, Volker Tresp:
Causal Inference under Networked Interference and Intervention Policy Enhancement. AISTATS 2021: 3700-3708 - [c153]Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. BMVC 2021: 209 - [c152]Jindong Gu, Volker Tresp, Han Hu:
Capsule Network Is Not More Robust Than Convolutional Network. CVPR 2021: 14309-14317 - [c151]Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Generating Table Vector Representations. DL4KG@ISWC 2021 - [c150]Max Berrendorf, Evgeniy Faerman, Volker Tresp:
Active Learning for Entity Alignment. ECIR (1) 2021: 48-62 - [c149]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 - [c148]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 - [c147]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 - [c146]Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. ICHI 2021: 63-72 - [c145]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. ICLR 2021 - [c144]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. ICLR 2021 - [c143]Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu:
Mutual Information State Intrinsic Control. ICLR 2021 - [c142]Jindong Gu, Rui Zhao, Volker Tresp:
Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. IJCNN 2021: 1-8 - [c141]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 - [c140]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 - [c139]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 - [c138]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] - [i87]Zifeng Ding, Zhen Han, Yunpu Ma, Volker Tresp:
Temporal Knowledge Graph Forecasting with Neural ODE. CoRR abs/2101.05151 (2021) - [i86]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) - [i85]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. CoRR abs/2102.10055 (2021) - [i84]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) - [i83]Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu:
Mutual Information State Intrinsic Control. CoRR abs/2103.08107 (2021) - [i82]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) - [i81]Jindong Gu, Volker Tresp, Han Hu:
Capsule Network is Not More Robust than Convolutional Network. CoRR abs/2103.15459 (2021) - [i80]Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. CoRR abs/2106.00638 (2021) - [i79]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) - [i78]Rajat Koner, Poulami Sinhamahapatra, Volker Tresp:
Scenes and Surroundings: Scene Graph Generation using Relation Transformer. CoRR abs/2107.05448 (2021) - [i77]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) - [i76]Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. CoRR abs/2107.08976 (2021) - [i75]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) - [i74]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. CoRR abs/2108.01701 (2021) - [i73]Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp:
Adaptive Multi-Resolution Attention with Linear Complexity. CoRR abs/2108.04962 (2021) - [i72]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) - [i71]Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp:
Description-based Label Attention Classifier for Explainable ICD-9 Classification. CoRR abs/2109.12026 (2021) - [i70]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) - [i69]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. CoRR abs/2110.04545 (2021) - [i68]Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Generating Table Vector Representations. CoRR abs/2110.15132 (2021) - [i67]Jindong Gu, Volker Tresp, Yao Qin:
Are Vision Transformers Robust to Patch Perturbations? CoRR abs/2111.10659 (2021) - [i66]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) - [i65]Zifeng Ding, Yunpu Ma, Bailan He, Volker Tresp:
A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. CoRR abs/2112.07791 (2021) - [i64]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) - [c137]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 - [c136]Jindong Gu, Zhiliang Wu, Volker Tresp:
Introspective Learning by Distilling Knowledge from Online Self-explanation. ACCV (4) 2020: 36-52 - [c135]Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp:
Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. AKBC 2020 - [c134]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 - [c133]Yunpu Ma, Zhen Han, Volker Tresp:
Learning with Temporal Knowledge Graphs. CIKM (Workshops) 2020 - [c132]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 - [c131]Jindong Gu, Volker Tresp:
Improving the Robustness of Capsule Networks to Image Affine Transformations. CVPR 2020: 7283-7291 - [c130]Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. ECAI 2020: 1159-1165 - [c129]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 - [c128]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 - [c127]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 - [c126]Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen:
Künstliche Intelligenz - Die dritte Welle. GI-Jahrestagung 2020: 91-95 - [c125]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 - [c124]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 - [c123]Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. ICPR 2020: 3597-3604 - [c122]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. ICPR 2020: 10449-10456 - [c121]Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp:
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods. WI/IAT 2020: 371-374 - [i63]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) - [i62]Yunpu Ma, Yuyi Wang, Volker Tresp:
Quantum Machine Learning Algorithm for Knowledge Graphs. CoRR abs/2001.01077 (2020) - [i61]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) - [i60]Max Berrendorf, Evgeniy Faerman, Volker Tresp:
Active Learning for Entity Alignment. CoRR abs/2001.08943 (2020) - [i59]Volker Tresp, Sahand Sharifzadeh, Dario Konopatzki, Yunpu Ma:
The Tensor Brain: Semantic Decoding for Perception and Memory. CoRR abs/2001.11027 (2020) - [i58]Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. CoRR abs/2001.11612 (2020) - [i57]Rui Zhao, Volker Tresp, Wei Xu:
Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning. CoRR abs/2002.01963 (2020) - [i56]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) - [i55]Yunpu Ma, Yuyi Wang, Volker Tresp:
Causal Inference under Networked Interference. CoRR abs/2002.08506 (2020) - [i54]Zhen Han, Yuyi Wang, Yunpu Ma, Stephan Günnemann, Volker Tresp:
Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. CoRR abs/2003.13432 (2020) - [i53]Rajat Koner, Poulami Sinhamahapatra, Volker Tresp:
Relation Transformer Network. CoRR abs/2004.06193 (2020) - [i52]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. CoRR abs/2006.13365 (2020) - [i51]Marcel Hildebrandt, Hang Li, Rajat Koner, Volker Tresp, Stephan Günnemann:
Scene Graph Reasoning for Visual Question Answering. CoRR abs/2007.01072 (2020) - [i50]Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp:
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. CoRR abs/2007.01083 (2020) - [i49]Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. CoRR abs/2007.04146 (2020) - [i48]Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Volker Tresp:
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. CoRR abs/2007.05292 (2020) - [i47]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. CoRR abs/2007.14175 (2020) - [i46]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. CoRR abs/2008.04042 (2020) - [i45]Jindong Gu, Zhiliang Wu, Volker Tresp:
Introspective Learning by Distilling Knowledge from Online Self-explanation. CoRR abs/2009.09140 (2020) - [i44]Feifei Xu, Xinpeng Wang, Yunpu Ma, Volker Tresp, Yuyi Wang, Shanlin Zhou, Haizhou Du:
Controllable Multi-Character Psychology-Oriented Story Generation. CoRR abs/2010.05230 (2020) - [i43]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. CoRR abs/2011.03984 (2020) - [i42]Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. CoRR abs/2011.10084 (2020) - [i41]Jindong Gu, Volker Tresp:
Interpretable Graph Capsule Networks for Object Recognition. CoRR abs/2012.01674 (2020) - [i40]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. CoRR abs/2012.15537 (2020)
2010 – 2019
- 2019
- [j32]Yunpu Ma, Volker Tresp, Erik A. Daxberger:
Embedding models for episodic knowledge graphs. J. Web Semant. 59 (2019) - [c120]Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Mitchell Joblin, Akhil Mehta, Ingo Thon, Volker Tresp:
A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. ESWC 2019: 179-193 - [c119]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. ICHI 2019: 1-10 - [c118]Rui Zhao, Xudong Sun, Volker Tresp:
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. ICML 2019: 7553-7562 - [c117]Marcel Hildebrandt, Mohamed Khalil, Christoph Bergs, Volker Tresp, Roland Wüchner, Kai-Uwe Bletzinger, Michael Heizmann:
Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach. INDIN 2019: 1327-1332 - [c116]Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten U. Kortuem, Volker Tresp:
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. DART/MIL3ID@MICCAI 2019: 3-10 - [i39]Rui Zhao, Volker Tresp:
Curiosity-Driven Experience Prioritization via Density Estimation. CoRR abs/1902.08039 (2019) - [i38]Yunpu Ma, Volker Tresp, Liming Zhao, Yuyi Wang:
Variational Quantum Circuit Model for Knowledge Graphs Embedding. CoRR abs/1903.00556 (2019) - [i37]Sahand Sharifzadeh, Max Berrendorf, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. CoRR abs/1905.00966 (2019) - [i36]Rui Zhao, Xudong Sun, Volker Tresp:
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. CoRR abs/1905.08786 (2019) - [i35]Jindong Gu, Volker Tresp:
Saliency Methods for Explaining Adversarial Attacks. CoRR abs/1908.08413 (2019) - [i34]Ilja Manakov, Markus Rohm, Christoph Kern, Benedikt Schworm, Karsten U. Kortuem, Volker Tresp:
Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. CoRR abs/1910.02702 (2019) - [i33]Ilja Manakov, Volker Tresp:
Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders. CoRR abs/1910.02713 (2019) - [i32]Jindong Gu, Volker Tresp:
Semantics for Global and Local Interpretation of Deep Neural Networks. CoRR abs/1910.09085 (2019) - [i31]Jindong Gu, Volker Tresp:
Contextual Prediction Difference Analysis. CoRR abs/1910.09086 (2019) - [i30]Ilja Manakov, Markus Rohm, Volker Tresp:
Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck. CoRR abs/1911.07460 (2019) - [i29]Jindong Gu, Volker Tresp:
Improving the Robustness of Capsule Networks to Image Affine Transformations. CoRR abs/1911.07968 (2019) - [i28]Max Berrendorf, Evgeniy Faerman, Valentyn Melnychuk, Volker Tresp, Thomas Seidl:
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. CoRR abs/1911.08342 (2019) - [i27]Jindong Gu, Volker Tresp:
Neural Network Memorization Dissection. CoRR abs/1911.09537 (2019) - 2018
- [j31]Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp:
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Manifestos 7(1): 52-68 (2018) - [j30]Pasquale Minervini, Volker Tresp, Claudia d'Amato, Nicola Fanizzi:
Adaptive Knowledge Propagation in Web Ontologies. ACM Trans. Web 12(1): 2:1-2:28 (2018) - [c115]Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. ACCV (3) 2018: 119-134 - [c114]Rui Zhao, Volker Tresp:
Energy-Based Hindsight Experience Prioritization. CoRL 2018: 113-122 - [c113]Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching:
Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. ICHI 2018: 152-162 - [c112]Rui Zhao, Volker Tresp:
Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. LaCATODA@IJCAI 2018: 1-7 - [c111]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. IJCAI 2018: 5214-5218 - [c110]Marcel Hildebrandt, Swathi Shyam Sunder, Serghei Mogoreanu, Ingo Thon, Volker Tresp, Thomas A. Runkler:
Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. ECML/PKDD (3) 2018: 271-287 - [c109]Rui Zhao, Volker Tresp:
Efficient Dialog Policy Learning via Positive Memory Retention. SLT 2018: 823-830 - [c108]Rui Zhao, Volker Tresp:
Learning Goal-Oriented Visual Dialog via Tempered Policy Gradient. SLT 2018: 868-875 - [c107]Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier:
Holistic Representations for Memorization and Inference. UAI 2018: 403-413 - [r2]Volker Tresp, Maximilian Nickel:
Relational Models. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i26]Yunpu Ma, Volker Tresp, Erik A. Daxberger:
Embedding Models for Episodic Memory. CoRR abs/1807.00228 (2018) - [i25]Rui Zhao, Volker Tresp:
Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. CoRR abs/1807.00737 (2018) - [i24]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. CoRR abs/1808.08941 (2018) - [i23]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection using Semantic Modeling of Scene Descriptions. CoRR abs/1809.00204 (2018) - [i22]Rui Zhao, Volker Tresp:
Energy-Based Hindsight Experience Prioritization. CoRR abs/1810.01363 (2018) - [i21]Rui Zhao, Volker Tresp:
Efficient Dialog Policy Learning via Positive Memory Retention. CoRR abs/1810.01371 (2018) - [i20]Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. CoRR abs/1812.02100 (2018) - 2017
- [c106]Stephan Baier, Sigurd Spieckermann, Volker Tresp:
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. ESANN 2017 - [c105]Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang:
Embedding Learning for Declarative Memories. ESWC (1) 2017: 202-216 - [c104]Yinchong Yang, Peter A. Fasching, Volker Tresp:
Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. ICHI 2017: 46-55 - [c103]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. ICML 2017: 3891-3900 - [c102]Yinchong Yang, Peter A. Fasching, Volker Tresp:
Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models. MLHC 2017: 164-176 - [c101]Volker Tresp, Yunpu Ma, Stephan Baier:
Learning with Knowledge Graphs. NeSy 2017 - [c100]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions. ISWC (1) 2017: 53-68 - [i19]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. CoRR abs/1707.01786 (2017) - [i18]Volker Tresp, Yunpu Ma:
The Tensor Memory Hypothesis. CoRR abs/1708.02918 (2017) - [i17]Stephan Baier, Sigurd Spieckermann, Volker Tresp:
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. CoRR abs/1711.04679 (2017) - [i16]Stephan Baier, Volker Tresp:
Tensor Decompositions for Modeling Inverse Dynamics. CoRR abs/1711.04683 (2017) - 2016
- [j29]Daniel Sonntag, Volker Tresp, Sonja Zillner, Alexander Cavallaro, Matthias Hammon, André Reis, Peter A. Fasching, Martin Sedlmayr, Thomas Ganslandt, Hans-Ulrich Prokosch, Klemens Budde, Danilo Schmidt, Carl Hinrichs, Thomas Wittenberg, Philipp Daumke, Patricia G. Oppelt:
The Clinical Data Intelligence Project - A smart data initiative. Inform. Spektrum 39(4): 290-300 (2016) - [j28]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp:
Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies. J. Data Semant. 5(4): 229-248 (2016) - [j27]Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich:
A Review of Relational Machine Learning for Knowledge Graphs. Proc. IEEE 104(1): 11-33 (2016) - [j26]Simon Haykin, Volker Tresp, Jón Atli Benediktsson:
Big Data: Practical Applications [Scanning the Issue]. Proc. IEEE 104(11): 2082-2084 (2016) - [j25]Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu:
Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. Proc. IEEE 104(11): 2180-2206 (2016) - [c99]Yinchong Yang, Cristóbal Esteban, Volker Tresp:
Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling. ESWC 2016: 199-213 - [c98]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass:
Predicting the co-evolution of event and Knowledge Graphs. FUSION 2016: 98-105 - [c97]Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp:
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. ICHI 2016: 93-101 - [c96]Stephan Baier, Denis Krompass, Volker Tresp:
Learning representations for discrete sensor networks using tensor decompositions. MFI 2016: 84-89 - [e2]Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma C. Garriga, Pauli Miettinen, Nikolaj Tatti, Volker Tresp:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. Lecture Notes in Computer Science 9853, Springer 2016, ISBN 978-3-319-46130-4 [contents] - [i15]Cristóbal Esteban, Oliver Staeck, Stephan Baier, Yinchong Yang, Volker Tresp:
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. CoRR abs/1602.02685 (2016) - [i14]Volker Tresp, J. Marc Overhage, Markus Bundschus, Shahrooz Rabizadeh, Peter A. Fasching, Shipeng Yu:
Going Digital: A Survey on Digitalization and Large Scale Data Analytics in Healthcare. CoRR abs/1606.08075 (2016) - [i13]Volker Tresp, Maximilian Nickel:
Relational Models. CoRR abs/1609.03145 (2016) - [i12]Yinchong Yang, Peter A. Fasching, Markus Wallwiener, Tanja N. Fehm, Sara Y. Brucker, Volker Tresp:
Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding. CoRR abs/1612.00611 (2016) - [i11]Evrim Acar, Animashree Anandkumar, Lenore Mullin, Sebnem Rusitschka, Volker Tresp:
Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). Dagstuhl Reports 6(4): 57-79 (2016) - 2015
- [j24]Denis Krompaß, Cristóbal Esteban, Volker Tresp, Martin Sedlmayr, Thomas Ganslandt:
Exploiting Latent Embeddings of Nominal Clinical Data for Predicting Hospital Readmission. Künstliche Intell. 29(2): 153-159 (2015) - [c95]Cristóbal Esteban, Danilo Schmidt, Denis Krompass, Volker Tresp:
Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model. ICHI 2015: 130-139 - [c94]Jonathan Boidol, Andreas Hapfelmeier, Volker Tresp:
Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams. ICDM 2015: 94-108 - [c93]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. ISWC (1) 2015: 640-655 - [i10]Maximilian Nickel, Kevin Murphy, Volker Tresp, Evgeniy Gabrilovich:
A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction. CoRR abs/1503.00759 (2015) - [i9]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. CoRR abs/1508.02593 (2015) - [i8]Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß:
Learning with Memory Embeddings. CoRR abs/1511.07972 (2015) - [i7]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompaß:
Predicting the Co-Evolution of Event and Knowledge Graphs. CoRR abs/1512.06900 (2015) - 2014
- [j23]Yi Huang, Volker Tresp, Maximilian Nickel, Achim Rettinger, Hans-Peter Kriegel:
A scalable approach for statistical learning in semantic graphs. Semantic Web 5(1): 5-22 (2014) - [j22]Marco Balduini, Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Seon-Ho Kim, Volker Tresp:
Reality mining on micropost streams - Deductive and inductive reasoning for personalized and location-based recommendations. Semantic Web 5(5): 341-356 (2014) - [c92]Denis Krompass, Maximilian Nickel, Volker Tresp:
Large-scale factorization of type-constrained multi-relational data. DSAA 2014: 18-24 - [c91]Maximilian Nickel, Xueyan Jiang, Volker Tresp:
Reducing the Rank in Relational Factorization Models by Including Observable Patterns. NIPS 2014: 1179-1187 - [c90]Denis Krompass, Xueyan Jiang, Maximilian Nickel, Volker Tresp:
Probabilistic Latent-Factor Database Models. LD4KD 2014 - [c89]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp:
Learning to Propagate Knowledge in Web Ontologies. URSW 2014: 13-24 - [c88]Denis Krompaß, Maximilian Nickel, Volker Tresp:
Querying Factorized Probabilistic Triple Databases. ISWC (2) 2014: 114-129 - [p2]Tilman Becker, Catherina Burghart, Kawa Nazemi, Patrick Ndjiki-Nya, Thomas Riegel, Ralf Schäfer, Thomas Sporer, Volker Tresp, Jens Wissmann:
Core Technologies for the Internet of Services. Towards the Internet of Services 2014: 59-88 - [p1]Volker Tresp, Yi Huang, Maximilian Nickel:
Querying the Web with Statistical Machine Learning. Towards the Internet of Services 2014: 225-234 - [r1]Volker Tresp, Maximilian Nickel:
Relational Models. Encyclopedia of Social Network Analysis and Mining 2014: 1550-1561 - 2013
- [c87]Tony Kyung-il Lee, Seon-Ho Kim, Marco Balduini, Daniele Dell'Aglio, Irene Celino, Yi Huang, Volker Tresp, Emanuele Della Valle:
Location-Based Mobile Recommendations by Hybrid Reasoning on Social Media Streams. JIST 2013: 261-273 - [c86]Maximilian Nickel, Volker Tresp:
An Analysis of Tensor Models for Learning on Structured Data. ECML/PKDD (2) 2013: 272-287 - [c85]Maximilian Nickel, Volker Tresp:
Tensor Factorization for Multi-relational Learning. ECML/PKDD (3) 2013: 617-621 - [i6]Volker Tresp, Michael Haft, Reimar Hofmann:
Mixture Approximations to Bayesian Networks. CoRR abs/1301.6744 (2013) - [i5]Maximilian Nickel, Volker Tresp:
Logistic Tensor Factorization for Multi-Relational Data. CoRR abs/1306.2084 (2013) - [i4]Volker Tresp, Denis Krompass:
Towards a New Science of a Clinical Data Intelligence. CoRR abs/1311.4180 (2013) - 2012
- [j21]Achim Rettinger, Uta Lösch, Volker Tresp, Claudia d'Amato, Nicola Fanizzi:
Mining the Semantic Web - Statistical learning for next generation knowledge bases. Data Min. Knowl. Discov. 24(3): 613-662 (2012) - [j20]Achim Rettinger, Hendrik Wermser, Yi Huang, Volker Tresp:
Context-aware tensor decomposition for relation prediction in social networks. Soc. Netw. Anal. Min. 2(4): 373-385 (2012) - [j19]Marco Balduini, Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Seon-Ho Kim, Volker Tresp:
BOTTARI: An augmented reality mobile application to deliver personalized and location-based recommendations by continuous analysis of social media streams. J. Web Semant. 16: 33-41 (2012) - [c84]Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum:
Natural Language Questions for the Web of Data. EMNLP-CoNLL 2012: 379-390 - [c83]Xueyan Jiang, Yi Huang, Maximilian Nickel, Volker Tresp:
Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction. ESWC 2012: 164-178 - [c82]Xueyan Jiang, Volker Tresp, Yi Huang, Maximilian Nickel, Hans-Peter Kriegel:
Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information. ECML/PKDD (1) 2012: 601-616 - [c81]Xueyan Jiang, Volker Tresp, Yi Huang, Maximilian Nickel:
Link Prediction in Multi-relational Graphs using Additive Models. SeRSy 2012: 1-12 - [c80]Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel:
Factorizing YAGO: scalable machine learning for linked data. WWW 2012: 271-280 - [c79]Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp, Gerhard Weikum:
Deep answers for naturally asked questions on the web of data. WWW (Companion Volume) 2012: 445-449 - [i3]Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel:
Infinite Hidden Relational Models. CoRR abs/1206.6864 (2012) - [i2]Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang:
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. CoRR abs/1212.2508 (2012) - 2011
- [j18]Emanuele Della Valle, Irene Celino, Daniele Dell'Aglio, Ralph Grothmann, Florian Steinke, Volker Tresp:
Semantic Traffic-Aware Routing Using the LarKC Platform. IEEE Internet Comput. 15(6): 15-23 (2011) - [j17]Achim Rettinger, Matthias Nickles, Volker Tresp:
Statistical relational learning of trust. Mach. Learn. 82(2): 191-209 (2011) - [c78]Hendrik Wermser, Achim Rettinger, Volker Tresp:
Modeling and Learning Context-Aware Recommendation Scenarios Using Tensor Decomposition. ASONAM 2011: 137-144 - [c77]Joshua L. Moore, Florian Steinke, Volker Tresp:
A Novel Metric for Information Retrieval in Semantic Networks. ESWC Workshops 2011: 65-79 - [c76]Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Seon-Ho Kim, Volker Tresp:
Towards BOTTARI: Using Stream Reasoning to Make Sense of Location-Based Micro-posts. ESWC Workshops 2011: 80-87 - [c75]Volker Tresp, Yi Huang, Xueyan Jiang, Achim Rettinger:
Graphical Models for Relations - Modeling Relational Context. KDIR 2011: 114-120 - [c74]Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel:
A Three-Way Model for Collective Learning on Multi-Relational Data. ICML 2011: 809-816 - [c73]Irene Celino, Daniele Dell'Aglio, Emanuele Della Valle, Yi Huang, Tony Kyung-il Lee, Stanley Park, Volker Tresp:
Making Sense of Location-based Micro-posts Using Stream Reasoning. #MSM 2011: 13-18 - 2010
- [j16]Davide Francesco Barbieri, Daniele Braga, Stefano Ceri, Emanuele Della Valle, Yi Huang, Volker Tresp, Achim Rettinger, Hendrik Wermser:
Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics. IEEE Intell. Syst. 25(6): 32-41 (2010) - [c72]Markus Bundschus, Anna Bauer-Mehren, Volker Tresp, Laura Inés Furlong, Hans-Peter Kriegel:
Digging for knowledge with information extraction: a case study on human gene-disease associations. CIKM 2010: 1845-1848 - [c71]Yi Huang, Volker Tresp, Markus Bundschus, Achim Rettinger, Hans-Peter Kriegel:
Multivariate Prediction for Learning on the Semantic Web. ILP 2010: 92-104
2000 – 2009
- 2009
- [c70]Markus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, Hans-Peter Kriegel:
Hierarchical Bayesian Models for Collaborative Tagging Systems. ICDM 2009: 728-733 - [c69]Volker Tresp, Kai Yu:
Tutorial summary: Learning with dependencies between several response variables. ICML 2009: 14 - [c68]Zhao Xu, Kristian Kersting, Volker Tresp:
Multi-Relational Learning with Gaussian Processes. IJCAI 2009: 1309-1314 - [c67]Volker Tresp, Yi Huang, Markus Bundschus, Achim Rettinger:
Materializing and Querying Learned Knowledge. MLG/SRL@ILP 2009 - [c66]Achim Rettinger, Matthias Nickles, Volker Tresp:
Statistical Relational Learning with Formal Ontologies. ECML/PKDD (2) 2009: 286-301 - 2008
- [j15]Markus Bundschus, Mathäus Dejori, Martin Stetter, Volker Tresp, Hans-Peter Kriegel:
Extraction of semantic biomedical relations from text using conditional random fields. BMC Bioinform. 9 (2008) - [c65]Achim Rettinger, Matthias Nickles, Volker Tresp:
A statistical relational model for trust learning. AAMAS (2) 2008: 763-770 - [c64]Zhao Xu, Volker Tresp, Achim Rettinger, Kristian Kersting:
Social Network Mining with Nonparametric Relational Models. SNAKDD 2008: 77-96 - [c63]Dieter Fensel, Frank van Harmelen, Bo Andersson, Paul Brennan, Hamish Cunningham, Emanuele Della Valle, Florian Fischer, Zhisheng Huang, Atanas Kiryakov, Tony Kyung-il Lee, Lael Schooler, Volker Tresp, Stefan Wesner, Michael Witbrock, Ning Zhong:
Towards LarKC: A Platform for Web-Scale Reasoning. ICSC 2008: 524-529 - [c62]Volker Tresp, Markus Bundschus, Achim Rettinger, Yi Huang:
Towards Machine Learning on the Semantic Web. URSW (LNCS Vol.) 2008: 282-314 - 2007
- [j14]Ruxandra Lupas Scheiterer, Dragan Obradovic, Volker Tresp:
Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge. J. VLSI Signal Process. 49(2): 301-316 (2007) - [c61]Achim Rettinger, Matthias Nickles, Volker Tresp:
Learning Initial Trust Among Interacting Agents. CIA 2007: 313-327 - [c60]Anton Schwaighofer, Mathäus Dejori, Volker Tresp, Martin Stetter:
Structure Learning with Nonparametric Decomposable Models. ICANN (1) 2007: 119-128 - [c59]Shipeng Yu, Volker Tresp, Kai Yu:
Robust multi-task learning with t-processes. ICML 2007: 1103-1110 - [c58]Zhao Xu, Volker Tresp, Shipeng Yu, Kai Yu, Hans-Peter Kriegel:
Fast Inference in Infinite Hidden Relational Models. MLG 2007 - 2006
- [j13]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
Multi-Output Regularized Feature Projection. IEEE Trans. Knowl. Data Eng. 18(12): 1600-1613 (2006) - [c57]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. ECML 2006: 841-848 - [c56]Kai Yu, Jinbo Bi, Volker Tresp:
Active learning via transductive experimental design. ICML 2006: 1081-1088 - [c55]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
Collaborative ordinal regression. ICML 2006: 1089-1096 - [c54]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel, Mingrui Wu:
Supervised probabilistic principal component analysis. KDD 2006: 464-473 - [c53]Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu:
Stochastic Relational Models for Discriminative Link Prediction. NIPS 2006: 1553-1560 - [c52]Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel:
Infinite Hidden Relational Models. UAI 2006 - 2005
- [c51]Kai Yu, Shipeng Yu, Volker Tresp:
Dirichlet Enhanced Latent Semantic Analysis. AISTATS 2005: 437-444 - [c50]Kai Yu, Shipeng Yu, Volker Tresp:
Multi-Output Regularized Projection. CVPR (2) 2005: 597-602 - [c49]Yi Huang, Kai Yu, Matthias Schubert, Shipeng Yu, Volker Tresp, Hans-Peter Kriegel:
Hierarchy-Regularized Latent Semantic Indexing. ICDM 2005: 178-185 - [c48]Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel:
Dirichlet enhanced relational learning. ICML 2005: 1004-1011 - [c47]Kai Yu, Volker Tresp, Anton Schwaighofer:
Learning Gaussian processes from multiple tasks. ICML 2005: 1012-1019 - [c46]Shipeng Yu, Kai Yu, Volker Tresp:
Soft Clustering on Graphs. NIPS 2005: 1553-1560 - [c45]Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel:
A Probabilistic Clustering-Projection Model for Discrete Data. PKDD 2005: 417-428 - [c44]Kai Yu, Shipeng Yu, Volker Tresp:
Multi-label informed latent semantic indexing. SIGIR 2005: 258-265 - 2004
- [j12]Michael Haft, Reimar Hofmann, Volker Tresp:
Generative binary codes. Pattern Anal. Appl. 6(4): 269-284 (2004) - [j11]Kai Yu, Anton Schwaighofer, Volker Tresp, Xiaowei Xu, Hans-Peter Kriegel:
Probabilistic Memory-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 16(1): 56-69 (2004) - [c43]Kai Yu, Volker Tresp:
Heterogenous Data Fusion via a Probabilistic Latent-Variable Model. ARCS 2004: 20-30 - [c42]Kai Yu, Shipeng Yu, Volker Tresp:
Dirichlet Enhanced Latent Semantic Analysis. LWA 2004: 221-226 - [c41]Anton Schwaighofer, Volker Tresp, Kai Yu:
Learning Gaussian Process Kernels via Hierarchical Bayes. NIPS 2004: 1209-1216 - [c40]Kai Yu, Volker Tresp, Shipeng Yu:
A nonparametric hierarchical bayesian framework for information filtering. SIGIR 2004: 353-360 - 2003
- [j10]Anton Schwaighofer, Volker Tresp, Peter Mayer, Andreas Krause, Jürgen Beuthan, Helmut Rost, Georg Metzger, Gerhard A. Müller, Alexander K. Scheel:
Classification of rheumatoid joint inflammation based on laser imaging. IEEE Trans. Biomed. Eng. 50(3): 375-382 (2003) - [c39]Zhao Xu, Xiaowei Xu, Kai Yu, Volker Tresp:
A Hybrid Relevance-Feedback Approach to Text Retrieval. ECIR 2003: 281-293 - [c38]Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang:
Representative Sampling for Text Classification Using Support Vector Machines. ECIR 2003: 393-407 - [c37]Volker Tresp, Kai Yu:
An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning. European Summer School on Multi-AgentControl 2003: 290-312 - [c36]Kai Yu, Wei-Ying Ma, Volker Tresp, Zhao Xu, Xiaofei He, HongJiang Zhang, Hans-Peter Kriegel:
Knowing a tree from the forest: art image retrieval using a society of profiles. ACM Multimedia 2003: 622-631 - [c35]Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann:
GPPS: A Gaussian Process Positioning System for Cellular Networks. NIPS 2003: 579-586 - [c34]Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang:
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. UAI 2003: 616-623 - 2002
- [c33]Kai Yu, Xiaowei Xu, Anton Schwaighofer, Volker Tresp, Hans-Peter Kriegel:
Removing redundancy and inconsistency in memory-based collaborative filtering. CIKM 2002: 52-59 - [c32]Anton Schwaighofer, Volker Tresp:
Transductive and Inductive Methods for Approximate Gaussian Process Regression. NIPS 2002: 953-960 - [c31]Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller:
The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging. NIPS 2002: 1409-1416 - 2001
- [j9]Volker Tresp:
Scaling Kernel-Based Systems to Large Data Sets. Data Min. Knowl. Discov. 5(3): 197-211 (2001) - [c30]Joachim Horn, Thomas Birkhölzer, Oliver Hogl, Marco Pellegrino, Ruxandra Scheiterer, Kai-Uwe Schmidt, Volker Tresp:
Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System. AIME 2001: 199-202 - [c29]Volker Tresp, Anton Schwaighofer:
Scalable Kernel Systems. ICANN 2001: 285-291 - [c28]Anton Schwaighofer, Volker Tresp:
The Bayesian Committee Support Vector Machine. ICANN 2001: 411-420 - [e1]Todd K. Leen, Thomas G. Dietterich, Volker Tresp:
Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver, CO, USA. MIT Press 2001 [contents] - 2000
- [j8]Volker Tresp:
A Bayesian Committee Machine. Neural Comput. 12(11): 2719-2741 (2000) - [c27]Jaakko Hollmén, Volker Tresp:
A hidden Markov model for metric and event-based data. EUSIPCO 2000: 1-4 - [c26]Jaakko Hollmén, Volker Tresp, Olli Simula:
A learning vector quantization algorithm for probabilistic models. EUSIPCO 2000: 1-4 - [c25]Volker Tresp:
The generalized Bayesian committee machine. KDD 2000: 130-139 - [c24]Volker Tresp:
Mixtures of Gaussian Processes. NIPS 2000: 654-660
1990 – 1999
- 1999
- [j7]Volker Tresp, Thomas Briegel, John Moody:
Neural-network models for the blood glucose metabolism of a diabetic. IEEE Trans. Neural Networks 10(5): 1204-1213 (1999) - [c23]Michael Haft, Reimar Hofmann, Volker Tresp:
Mean field inference in a general probabilistic setting. AISTATS 1999 - [c22]Thomas Briegel, Volker Tresp:
Robust Neural Network Regression for Offline and Online Learning. NIPS 1999: 407-413 - [c21]Volker Tresp, Michael Haft, Reimar Hofmann:
Mixture Approximations to Bayesian Networks. UAI 1999: 639-646 - 1998
- [j6]Volker Tresp, Reimar Hofmann:
Nonlinear Time-Series Prediction with Missing and Noisy Data. Neural Comput. 10(3): 731-747 (1998) - [j5]Dirk Ormoneit, Volker Tresp:
Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. IEEE Trans. Neural Networks 9(4): 639-650 (1998) - [c20]Michiaki Taniguchi, Michael Haft, Jaakko Hollmén, Volker Tresp:
Fraud detection in communication networks using neural and probabilistic methods. ICASSP 1998: 1241-1244 - [c19]Thomas Briegel, Volker Tresp:
Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models. NIPS 1998: 403-409 - [c18]Jaakko Hollmén, Volker Tresp:
Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model. NIPS 1998: 889-895 - 1997
- [j4]Volker Tresp, Jürgen Hollatz, Subutai Ahmad:
Representing Probabilistic Rules with Networks of Gaussian Basis Functions. Mach. Learn. 27(2): 173-200 (1997) - [j3]Michiaki Taniguchi, Volker Tresp:
Averaging Regularized Estimators. Neural Comput. 9(5): 1163-1178 (1997) - [c17]Michiaki Taniguchi, Volker Tresp:
Combining Regularized Neural Networks. ICANN 1997: 349-354 - [c16]Reimar Hofmann, Volker Tresp:
Nonlinear Markov Networks for Continuous Variables. NIPS 1997: 521-527 - [c15]Volker Tresp, Thomas Briegel:
A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction. NIPS 1997: 971-977 - 1996
- [c14]Volker Tresp, Ralph Neuneier, Hans-Georg Zimmermann:
Early Brain Damage. NIPS 1996: 669-675 - 1995
- [j2]Volker Tresp:
Die besonderen Eigenschaften Neuronaler Netze bei der Approximation von Funktionen. Künstliche Intell. 9(5): 12-17 (1995) - [c13]Reimar Hofmann, Volker Tresp:
Discovering Structure in Continuous Variables Using Bayesian Networks. NIPS 1995: 500-506 - [c12]Dirk Ormoneit, Volker Tresp:
Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging. NIPS 1995: 542-548 - 1994
- [j1]Volker Tresp, Rodney Snell, Arthur F. Gmitro:
Videographic tomography. II. Reconstruction with fan-beam projection data. IEEE Trans. Medical Imaging 13(1): 137-143 (1994) - [c11]Volker Tresp, Michiaki Taniguchi:
Combining Estimators Using Non-Constant Weighting Functions. NIPS 1994: 419-426 - [c10]Volker Tresp, Ralph Neuneier, Subutai Ahmad:
Efficient Methods for Dealing with Missing Data in Supervised Learning. NIPS 1994: 689-696 - 1993
- [c9]Subutai Ahmad, Volker Tresp:
Classification with missing and uncertain inputs. ICNN 1993: 1949-1954 - [c8]Volker Tresp, Subutai Ahmad, Ralph Neuneier:
Training Neural Networks with Deficient Data. NIPS 1993: 128-135 - 1992
- [c7]Jürgen Hollatz, Volker Tresp:
Integrating Rule-Based Knowledge into Neural Computing. DAGM-Symposium 1992: 88-95 - [c6]Martin F. Schlang, Volker Tresp, Klaus Abraham-Fuchs, Wolfgang Härer, P. Weismüller:
Neuronale Netze zur Segmentierung und Clusterung von biomagnetischen Signalen. DAGM-Symposium 1992: 180-185 - [c5]Subutai Ahmad, Volker Tresp:
Some Solutions to the Missing Feature Problem in Vision. NIPS 1992: 393-400 - [c4]Volker Tresp, Jürgen Hollatz, Subutai Ahmad:
Network Structuring and Training Using Rule-Based Knowledge. NIPS 1992: 871-878 - 1991
- [c3]Volker Tresp:
A Neural Architecture for 2D and 3D Vision. DAGM-Symposium 1991: 437-445 - [c2]Martin Röscheisen, Reimar Hofmann, Volker Tresp:
Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency. NIPS 1991: 659-666 - [i1]Reimar Hofmann, Martin Röscheisen, Volker Tresp:
Incorporating prior knowledge in parsimonious networks of locally tuned units. Forschungsberichte, TU Munich FKI 155 91: 1-12 (1991) - 1990
- [c1]Volker Tresp:
A Neural Network Approach for Three-Dimensional Object Recognition. NIPS 1990: 306-312
Coauthor Index
[c211] [c209] [c208] [i150] [i144] [c206] [c205] [c201] [c196] [i142] [i140] [i139] [i138] [i131] [i130] [i128] [c187] [c183] [c182] [c181] [c176] [i120] [i117] [i116] [i115] [i114] [i105] [i104] [i103] [c164] [c163] [i94] [i89] [i88] [c152] [c146] [c145] [c142] [i85] [i81] [i80] [i67] [i66] [c136] [c131] [c130] [i58] [i45] [i41] [i35] [i32] [i31] [i29] [i27] [c115] [i20]
Denis Krompass
aka: Denis Krompaß
aka: Denis Krompaß
[j38] [c210] [i149] [i147] [i145] [c200] [c197] [c193] [c192] [i143] [i135] [i133] [i129] [i127] [i126] [j37] [c185] [c180] [c179] [c177] [c176] [c175] [c173] [c172] [i123] [i120] [i112] [i111] [i110] [i106] [c169] [c168] [c166] [i99] [i93] [i90] [c154] [c149] [c148] [c144] [i87] [i73] [i70] [i65] [i64] [c137] [c135] [c133] [c132] [c127] [c124] [i63] [i62] [i61] [i59] [i55] [i54] [i50] [i44] [i43] [i40] [j32] [i38] [c111] [c107] [i26] [i24] [i23] [c105] [c101] [c100] [i18]
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-07-05 03:40 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
