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- affiliation: Ludwig Maximilian University of Munich, Germany
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2020 – today
- 2024
[c201]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- [c200]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 - [c199]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 - [c198]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 - [c197]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 - [c196]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 - [c195]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 - [c194]Yize Sun, Jiarui Liu, Yunpu Ma, Volker Tresp:
Differentiable Quantum Architecture Search For Job Shop Scheduling Problem. ICASSP 2024: 236-240 - [c193]Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner:
Provably Better Explanations with Optimized Aggregation of Feature Attributions. ICML 2024 - [c192]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 - [c191]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 - [c190]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 - [c189]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 - [c188]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 - [c187]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 - [i140]Yize Sun, Zixin Wu, Yunpu Ma, Volker Tresp:
Quantum Architecture Search with Unsupervised Representation Learning. CoRR abs/2401.11576 (2024) - [i139]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) - [i138]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) - [i137]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) - [i136]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) - [i135]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) - [i134]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) - [i133]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) - [i132]Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Yunpu Ma, Michael Bronstein:
DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. CoRR abs/2408.04713 (2024) - [i131]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) - [i130]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) - [i129]Volker Tresp, Hang Li:
How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Decode Symbols. CoRR abs/2409.12846 (2024) - [i128]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) - [i127]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) - [i126]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) - [i125]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) - 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) - [c186]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 - [c185]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 - [c184]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 - [c183]Alessandro Giovagnoli, Volker Tresp, Yunpu Ma, Matthias Schubert:
QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. GECCO Companion 2023: 647-650 - [c182]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 - [c181]Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp:
Do DALL-E and Flamingo Understand Each Other? ICCV 2023: 1999-2010 - [c180]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 - [c179]Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp:
Multi-event Video-Text Retrieval. ICCV 2023: 22056-22066 - [c178]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 - [c177]Yao Zhang, Yunpu Ma, Thomas Seidl, Volker Tresp:
Adaptive Multi-Resolution Attention with Linear Complexity. IJCNN 2023: 1-8 - [c176]Thomas Decker, Michael Lebacher, Volker Tresp:
Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. INDIN 2023: 1-6 - [c175]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 - [c174]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 - [c173]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 - [c172]Yize Sun, Yunpu Ma, Volker Tresp:
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. QCE 2023: 15-19 - [c171]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 - [c170]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) - [c169]Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp:
Improving Scene Graph Classification by Exploiting Knowledge from Texts. AAAI 2022: 2189-2197 - [c168]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 - [c167]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 - [c166]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. ACML 2022: 327-342 - [c165]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 - [c164]Hang Li, Qadeer Khan, Volker Tresp, Daniel Cremers:
Biologically Inspired Neural Path Finding. BI 2022: 329-342 - [c163]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 - [c162]Jindong Gu, Volker Tresp, Yao Qin:
Are Vision Transformers Robust to Patch Perturbations? ECCV (12) 2022: 404-421 - [c161]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 - [c160]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 - [c159]Ahmed Frikha, Denis Krompaß, Volker Tresp:
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. ICPR 2022: 1871-187 - [c158]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 - [c157]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) - [c156]Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp:
Classification by Attention: Scene Graph Classification with Prior Knowledge. AAAI 2021: 5025-5033 - [c155]Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. AAAI 2021: 7448-7456 - [c154]Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp:
Description-based Label Attention Classifier for Explainable ICD-9 Classification. W-NUT 2021: 62-66 - [c153]Yunpu Ma, Volker Tresp:
Causal Inference under Networked Interference and Intervention Policy Enhancement. AISTATS 2021: 3700-3708 - [c152]Rajat Koner, Poulami Sinhamahapatra, Karsten Roscher, Stephan Günnemann, Volker Tresp:
OODformer: Out-Of-Distribution Detection Transformer. BMVC 2021: 209 - [c151]Jindong Gu, Volker Tresp, Han Hu:
Capsule Network Is Not More Robust Than Convolutional Network. CVPR 2021: 14309-14317 - [c150]Aneta Koleva, Martin Ringsquandl, Mitchell Joblin, Volker Tresp:
Generating Table Vector Representations. DL4KG@ISWC 2021 - [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]