Volker Tresp

ORCID

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 235

Top Venues

Publications

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)
Rajat Koner, Gagan Jain, Prateek Jain, Volker Tresp, Sujoy Paul
LookupViT: Compressing visual information to a limited number of tokens. CoRR (2024)
Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner
Provably Better Explanations with Optimized Aggregation of Feature Attributions. CoRR (2024)
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)
Gengyuan Zhang, Mang Ling Ada Fok, Yan Xia, Yansong Tang, Daniel Cremers, Philip H. S. Torr, Volker Tresp, Jindong Gu
Localizing Events in Videos with Multimodal Queries. CoRR (2024)
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)
Zefeng Wang, Zhen Han, Shuo Chen, Fan Xue, Zifeng Ding, Xun Xiao, Volker Tresp, Philip H. S. Torr, Jindong Gu
Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. CoRR (2024)
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)
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)
Aneta Koleva, Martin Ringsquandl, Ahmed Hatem, Thomas A. Runkler, Volker Tresp
Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. CoRR (2024)
Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. WACV (2024)
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)
Philipp Wissmann, Daniel Hein, Steffen Udluft, Volker Tresp
Why long model-based rollouts are no reason for bad Q-value estimates. CoRR (2024)
Yize Sun, Zixin Wu, Yunpu Ma, Volker Tresp
Quantum Architecture Search with Unsupervised Representation Learning. CoRR (2024)
Yize Sun, Jiarui Liu, Yunpu Ma, Volker Tresp
Differentiable Quantum Architecture Search For Job Shop Scheduling Problem. ICASSP (2024)
Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip H. S. Torr, Volker Tresp, Jindong Gu
Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? CoRR (2024)
Yize Sun, Yunpu Ma, Volker Tresp
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. CoRR (2023)
Thomas Decker, Michael Lebacher, Volker Tresp
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. ICASSP (2023)
Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp
Multi-event Video-Text Retrieval. ICCV (2023)
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)
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 (2023)
Yize Sun, Yunpu Ma, Volker Tresp
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. QCE (2023)
Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp
Multi-event Video-Text Retrieval. CoRR (2023)
Gengyuan Zhang, Yurui Zhang, Kerui Zhang, Volker Tresp
Can Vision-Language Models be a Good Guesser? Exploring VLMs for Times and Location Reasoning. CoRR (2023)
Gengyuan Zhang, Jinhe Bi, Jindong Gu, Volker Tresp
SPOT! Revisiting Video-Language Models for Event Understanding. CoRR (2023)
Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu
Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. CoRR (2023)
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) (2023)
Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. CoRR (2023)
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)
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 (2023)
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 (2023)
Aneta Koleva, Martin Ringsquandl, Volker Tresp
Adversarial Attacks on Tables with Entity Swap. VLDB Workshops (2023)
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)
Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV (2023)
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)
Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp
GenTKG: Generative Forecasting on Temporal Knowledge Graph. CoRR (2023)
Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp
FedPop: Federated Population-based Hyperparameter Tuning. CoRR (2023)
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 (2023)
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 (2023)
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)
Aneta Koleva, Martin Ringsquandl, Volker Tresp
Adversarial Attacks on Tables with Entity Swap. CoRR (2023)
Volker Tresp, Steffen Udluft, Daniel Hein, Werner Hauptmann, Martin Leib, Christopher Mutschler, Daniel D. Scherer, Wolfgang Mauerer
Workshop Summary: Quantum Machine Learning. QCE (2023)
Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp
InstanceFormer: An Online Video Instance Segmentation Framework. AAAI (2023)
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 (2023)
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)
Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. GECCO Companion (2023)
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 (2023)
Thomas Decker, Michael Lebacher, Volker Tresp
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. CoRR (2023)
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 (2023)
Thomas Decker, Michael Lebacher, Volker Tresp
Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. CoRR (2023)
Soeren Nolting, Zhen Han, Volker Tresp
Modeling the evolution of temporal knowledge graphs with uncertainty. CoRR (2023)
Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
Do DALL-E and Flamingo Understand Each Other? ICCV (2023)
Yuanchun Shen, Ruotong Liao, Zhen Han, Yunpu Ma, Volker Tresp
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models. CoRR (2023)
Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp
Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. CoRR (2023)
Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp
Adaptive Multi-Resolution Attention with Linear Complexity. IJCNN (2023)
Thomas Decker, Michael Lebacher, Volker Tresp
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. INDIN (2023)
Jin Guo, Zhen Han, Zhou Su, Jiliang Li, Volker Tresp, Yuyi Wang
Continuous Temporal Graph Networks for Event-Based Graph Data. CoRR (2022)
Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp
On Calibration of Graph Neural Networks for Node Classification. IJCNN (2022)
Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR (2022)
Tong Liu, Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Hang Li, Volker Tresp
On Calibration of Graph Neural Networks for Node Classification. CoRR (2022)
Ahmed Frikha, Denis Krompaß, Volker Tresp
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. ICPR (2022)
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 (2022)
Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp
InstanceFormer: An Online Video Instance Segmentation Framework. CoRR (2022)
Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp
Towards Data-Free Domain Generalization. ACML (2022)
Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp
Do DALL-E and Flamingo Understand Each Other? CoRR (2022)
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)
Jindong Gu, Volker Tresp, Yao Qin
Are Vision Transformers Robust to Patch Perturbations? ECCV (12) (2022)
Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp
Improving Scene Graph Classification by Exploiting Knowledge from Texts. AAAI (2022)
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) (2022)
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. ECCV (24) (2022)
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)
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)
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 (2022)
Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp
Named Entity Recognition in Industrial Tables using Tabular Language Models. CoRR (2022)
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 (2022)
Zifeng Ding, Bailan He, Yunpu Ma, Zhen Han, Volker Tresp
Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. CoRR (2022)
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. AAAI (2022)
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 (2022)
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 (2022)
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 (2022)
Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers
Biologically Inspired Neural Path Finding. CoRR (2022)
Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers
Biologically Inspired Neural Path Finding. BI (2022)
Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. CoRR (2022)
Aneta Koleva, Martin Ringsquandl, Mark Buckley, Rakebul Hasan, Volker Tresp
Named Entity Recognition in Industrial Tables using Tabular Language Models. EMNLP (Industry Track) (2022)
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)
Ahmed Frikha, Denis Krompaß, Volker Tresp
COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. CoRR (2021)
Jindong Gu, Baoyuan Wu, Volker Tresp
Effective and Efficient Vote Attack on Capsule Networks. ICLR (2021)
Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp
Improving Visual Reasoning by Exploiting The Knowledge in Texts. CoRR (2021)
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)
Jindong Gu, Rui Zhao, Volker Tresp
Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. IJCNN (2021)
Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp
Few-Shot One-Class Classification via Meta-Learning. AAAI (2021)
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 (2021)
Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu
Mutual Information State Intrinsic Control. ICLR (2021)
Yushan Liu, Marcel Hildebrandt, Mitchell Joblin, Martin Ringsquandl, Rime Raissouni, Volker Tresp
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs. CoRR (2021)
Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp
OODformer: Out-Of-Distribution Detection Transformer. BMVC (2021)
Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. CoRR (2021)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-Relational Facts. CoRR (2021)
Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. ICLR (2021)
Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp
OODformer: Out-Of-Distribution Detection Transformer. CoRR (2021)
Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann
Improving Inductive Link Prediction Using Hyper-relational Facts. ISWC (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Volker Tresp