Tresp, Volker

107 publications

WACV 2025 CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp

WACV 2025 Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? Shuo Chen, Zhen Han, Bailan He, Jianzhe Liu, Mark Buckley, Yao Qin, Philip Torr, Volker Tresp, Jindong Gu

TMLR 2025 DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Michael M. Bronstein, Yunpu Ma

CVPR 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

AAAI 2025 FedPop: Federated Population-Based Hyperparameter Tuning Haokun Chen, Denis Krompaß, Jindong Gu, Volker Tresp

NeurIPS 2025 Improving Perturbation-Based Explanations by Understanding the Role of Uncertainty Calibration Thomas Decker, Volker Tresp, Florian Buettner

AISTATS 2025 Incremental Uncertainty-Aware Performance Monitoring with Active Labeling Intervention Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner

CVPR 2025 Localizing Events in Videos with Multimodal Queries Gengyuan Zhang, Mang Ling Ada Fok, Jialu Ma, Yan Xia, Daniel Cremers, Philip Torr, Volker Tresp, Jindong Gu

ICLRW 2025 Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs Gengyuan Zhang, Mingcong Ding, Tong Liu, Yao Zhang, Volker Tresp

WACV 2025 Perceive Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries Roberto Amoroso, Gengyuan Zhang, Rajat Koner, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp

AAAI 2025 WebPilot: A Versatile and Autonomous Multi-Agent System for Web Task Execution with Strategic Exploration Yao Zhang, Zijian Ma, Yunpu Ma, Zhen Han, Yu Wu, Volker Tresp

ICLRW 2025 Why Uncertainty Calibration Matters for Reliable Perturbation-Based Explanations Thomas Decker, Volker Tresp, Florian Buettner

WACV 2024 Can Vision-Language Models Be a Good Guesser? Exploring VLMs for Times and Location Reasoning Gengyuan Zhang, Yurui Zhang, Kerui Zhang, Volker Tresp

WACV 2024 Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining Ugur Sahin, Hang Li, Qadeer Khan, Daniel Cremers, Volker Tresp

AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp

NeurIPSW 2024 Incremental Uncertainty-Aware Performance Monitoring with Labeling Intervention Alexander Koebler, Thomas Decker, Ingo Thon, Volker Tresp, Florian Buettner

ECCV 2024 LookupViT: Compressing Visual Information to a Limited Number of Tokens Rajat Koner, Gagan Jain, Sujoy Paul, Volker Tresp, Prateek Jain

ICML 2024 Provably Better Explanations with Optimized Aggregation of Feature Attributions Thomas Decker, Ananta R. Bhattarai, Jindong Gu, Volker Tresp, Florian Buettner

ICLRW 2024 Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu

ICMLW 2024 SA-DQAS: Self-Attention Enhanced Differentiable Quantum Architecture Search Yize Sun, Jiarui Liu, Zixin Wu, Zifeng Ding, Yunpu Ma, Thomas Seidl, Volker Tresp

CVPR 2024 Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu

ICLRW 2024 Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation Hang Li, Chengzhi Shen, Philip Torr, Volker Tresp, Jindong Gu

WACV 2024 What's Outside the Intersection? Fine-Grained Error Analysis for Semantic Segmentation Beyond IoU Maximilian Bernhard, Roberto Amoroso, Yannic Kindermann, Lorenzo Baraldi, Rita Cucchiara, Volker Tresp, Matthias Schubert

NeurIPS 2023 Benchmarking Robustness of Adaptation Methods on Pre-Trained Vision-Language Models Shuo Chen, Jindong Gu, Zhen Han, Yunpu Ma, Philip Torr, Volker Tresp

ICCV 2023 Do DALL-E and Flamingo Understand Each Other? Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp

ICCV 2023 FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp

NeurIPSW 2023 GenTKG: Generative Forecasting on Temporal Knowledge Graph Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp

NeurIPSW 2023 GenTKG: Generative Forecasting on Temporal Knowledge Graph Ruotong Liao, Xu Jia, Yunpu Ma, Volker Tresp

ECML-PKDD 2023 Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs Using Confidence-Augmented Reinforcement Learning Zifeng Ding, Jingpei Wu, Zongyue Li, Yunpu Ma, Volker Tresp

AAAI 2023 InstanceFormer: An Online Video Instance Segmentation Framework Rajat Koner, Tanveer Hannan, Suprosanna Shit, Sahand Sharifzadeh, Matthias Schubert, Thomas Seidl, Volker Tresp

ICCV 2023 Multi-Event Video-Text Retrieval Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp

NeurIPSW 2023 Towards Explanatory Model Monitoring Alexander Koebler, Thomas Decker, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner

NeurIPSW 2022 A Simple but Powerful Graph Encoder for Temporal Knowledge Graph Completion Zifeng Ding, Yunpu Ma, Bailan He, Zhen Han, Volker Tresp

NeurIPSW 2022 Analysis of the Attention in Tabular Language Models Aneta Koleva, Martin Ringsquandl, Volker Tresp

ECCV 2022 Are Vision Transformers Robust to Patch Perturbations? Jindong Gu, Volker Tresp, Yao Qin

ICMLW 2022 Evaluating Model Robustness to Patch Perturbations Jindong Gu, Volker Tresp, Yao Qin

IJCAI 2022 Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract) Mehdi Ali, Max Berrendorf, Mikhail Galkin, Veronika Thost, Tengfei Ma, Volker Tresp, Jens Lehmann

AAAI 2022 Improving Scene Graph Classification by Exploiting Knowledge from Texts Sahand Sharifzadeh, Sina Moayed Baharlou, Martin Schmitt, Hinrich Schütze, Volker Tresp

ECCV 2022 Relationformer: A Unified Framework for Image-to-Graph Generation Suprosanna Shit, Rajat Koner, Bastian Wittmann, Johannes Paetzold, Ivan Ezhov, Hongwei Li, Jiazhen Pan, Sahand Sharifzadeh, Georgios Kaissis, Volker Tresp, Bjoern Menze

ECCV 2022 SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness Jindong Gu, Hengshuang Zhao, Volker Tresp, Philip H. S. Torr

AAAI 2022 TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

ACML 2022 Towards Data-Free Domain Generalization Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas Runkler, Volker Tresp

AISTATS 2021 Causal Inference Under Networked Interference and Intervention Policy Enhancement Yunpu Ma, Volker Tresp

CVPR 2021 Capsule Network Is Not More Robust than Convolutional Network Jindong Gu, Volker Tresp, Han Hu

AAAI 2021 Classification by Attention: Scene Graph Classification with Prior Knowledge Sahand Sharifzadeh, Sina Moayed Baharlou, Volker Tresp

ICLR 2021 Effective and Efficient Vote Attack on Capsule Networks Jindong Gu, Baoyuan Wu, Volker Tresp

ICLR 2021 Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp

AAAI 2021 Few-Shot One-Class Classification via Meta-Learning Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp

ICLR 2021 Mutual Information State Intrinsic Control Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu

JMLR 2021 PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt, Laurent Vermue, Sahand Sharifzadeh, Volker Tresp, Jens Lehmann

NeurIPSW 2021 Towards Data-Free Domain Generalization Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas Runkler, Volker Tresp

MLHC 2021 Uncertainty-Aware Time-to-Event Prediction Using Deep Kernel Accelerated Failure Time Models Zhiliang Wu, Yinchong Yang, Peter A. Fashing, Volker Tresp

AAAI 2020 Reasoning on Knowledge Graphs with Debate Dynamics Marcel Hildebrandt, Jorge Andres Quintero Serna, Yunpu Ma, Martin Ringsquandl, Mitchell Joblin, Volker Tresp

ICML 2019 Maximum Entropy-Regularized Multi-Goal Reinforcement Learning Rui Zhao, Xudong Sun, Volker Tresp

CoRL 2018 Energy-Based Hindsight Experience Prioritization Rui Zhao, Volker Tresp

UAI 2018 Holistic Representations for Memorization and Inference Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier

IJCAI 2018 Improving Information Extraction from Images with Learned Semantic Models Stephan Baier, Yunpu Ma, Volker Tresp

MLHC 2017 Modeling Progression Free Survival in Breast Cancer with Tensorized Recurrent Neural Networks and Accelerated Failure Time Models Yinchong Yang, Peter A. Fasching, Volker Tresp

ICML 2017 Tensor-Train Recurrent Neural Networks for Video Classification Yinchong Yang, Denis Krompass, Volker Tresp

ECML-PKDD 2016 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva Del Garda, Italy, September 19-23, 2016, Proceedings, Part III Bettina Berendt, Björn Bringmann, Élisa Fromont, Gemma C. Garriga, Pauli Miettinen, Nikolaj Tatti, Volker Tresp

NeurIPS 2014 Reducing the Rank in Relational Factorization Models by Including Observable Patterns Maximilian Nickel, Xueyan Jiang, Volker Tresp

ECML-PKDD 2013 An Analysis of Tensor Models for Learning on Structured Data Maximilian Nickel, Volker Tresp

ECML-PKDD 2013 Tensor Factorization for Multi-Relational Learning Maximilian Nickel, Volker Tresp

ECML-PKDD 2012 Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information Xueyan Jiang, Volker Tresp, Yi Huang, Maximilian Nickel, Hans-Peter Kriegel

ICML 2011 A Three-Way Model for Collective Learning on Multi-Relational Data Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel

MLJ 2011 Statistical Relational Learning of Trust Achim Rettinger, Matthias Nickles, Volker Tresp

IJCAI 2009 Multi-Relational Learning with Gaussian Processes Zhao Xu, Kristian Kersting, Volker Tresp

ECML-PKDD 2009 Statistical Relational Learning with Formal Ontologies Achim Rettinger, Matthias Nickles, Volker Tresp

ICML 2009 Tutorial Summary: Learning with Dependencies Between Several Response Variables Volker Tresp, Kai Yu

ICML 2007 Robust Multi-Task Learning with T-Processes Shipeng Yu, Volker Tresp, Kai Yu

ICML 2006 Active Learning via Transductive Experimental Design Kai Yu, Jinbo Bi, Volker Tresp

ICML 2006 Collaborative Ordinal Regression Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel

UAI 2006 Infinite Hidden Relational Models Zhao Xu, Volker Tresp, Kai Yu, Hans-Peter Kriegel

NeurIPS 2006 Stochastic Relational Models for Discriminative Link Prediction Kai Yu, Wei Chu, Shipeng Yu, Volker Tresp, Zhao Xu

ECML-PKDD 2006 Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Kriegel

AISTATS 2005 Dirichlet Enhanced Latent Semantic Analysis Kai Yu, Shipeng Yu, Volker Tresp

ICML 2005 Dirichlet Enhanced Relational Learning Zhao Xu, Volker Tresp, Kai Yu, Shipeng Yu, Hans-Peter Kriegel

ICML 2005 Learning Gaussian Processes from Multiple Tasks Kai Yu, Volker Tresp, Anton Schwaighofer

CVPR 2005 Multi-Output Regularized Projection Kai Yu, Shipeng Yu, Volker Tresp

NeurIPS 2005 Soft Clustering on Graphs Kai Yu, Shipeng Yu, Volker Tresp

NeurIPS 2004 Learning Gaussian Process Kernels via Hierarchical Bayes Anton Schwaighofer, Volker Tresp, Kai Yu

UAI 2003 Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying Ma, HongJiang Zhang

NeurIPS 2003 GPPS: A Gaussian Process Positioning System for Cellular Networks Anton Schwaighofer, Marian Grigoras, Volker Tresp, Clemens Hoffmann

NeurIPS 2002 The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel, Gerhard A. Müller

NeurIPS 2002 Transductive and Inductive Methods for Approximate Gaussian Process Regression Anton Schwaighofer, Volker Tresp

NeCo 2000 A Bayesian Committee Machine Volker Tresp

NeurIPS 2000 Mixtures of Gaussian Processes Volker Tresp

AISTATS 1999 Mean Field Inference in a General Probabilistic Setting Michael Haft, Reimar Hofmann, Volker Tresp

UAI 1999 Mixture Approximations to Bayesian Networks Volker Tresp, Michael Haft, Reimar Hofmann

NeurIPS 1999 Robust Neural Network Regression for Offline and Online Learning Thomas Briegel, Volker Tresp

NeurIPS 1998 Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model Jaakko Hollmén, Volker Tresp

NeurIPS 1998 Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models Thomas Briegel, Volker Tresp

NeCo 1998 Nonlinear Time-Series Prediction with Missing and Noisy Data Volker Tresp, Reimar Hofmann

NeurIPS 1997 A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction Volker Tresp, Thomas Briegel

NeCo 1997 Averaging Regularized Estimators Michiaki Taniguchi, Volker Tresp

NeurIPS 1997 Nonlinear Markov Networks for Continuous Variables Reimar Hofmann, Volker Tresp

MLJ 1997 Representing Probabilistic Rules with Networks of Gaussian Basis Functions Volker Tresp, Jürgen Hollatz, Subutai Ahmad

NeurIPS 1996 Early Brain Damage Volker Tresp, Ralph Neuneier, Hans-Georg Zimmermann

NeurIPS 1995 Discovering Structure in Continuous Variables Using Bayesian Networks Reimar Hofmann, Volker Tresp

NeurIPS 1995 Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging Dirk Ormoneit, Volker Tresp

NeurIPS 1994 Combining Estimators Using Non-Constant Weighting Functions Volker Tresp, Michiaki Taniguchi

NeurIPS 1994 Efficient Methods for Dealing with Missing Data in Supervised Learning Volker Tresp, Ralph Neuneier, Subutai Ahmad

NeurIPS 1993 Training Neural Networks with Deficient Data Volker Tresp, Subutai Ahmad, Ralph Neuneier

NeurIPS 1992 Network Structuring and Training Using Rule-Based Knowledge Volker Tresp, Jürgen Hollatz, Subutai Ahmad

NeurIPS 1992 Some Solutions to the Missing Feature Problem in Vision Subutai Ahmad, Volker Tresp

NeurIPS 1991 Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency Martin Röscheisen, Reimar Hofmann, Volker Tresp

NeurIPS 1990 A Neural Network Approach for Three-Dimensional Object Recognition Volker Tresp