Volker Tresp

发表

Causal Inference under Networked Interference and Intervention Policy Enhancement

Volker Tresp, Yunpu Ma, Yunpu Ma, 2020, AISTATS.

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score pdf

Zhiliang Wu, Rui Zhao, Yunpu Ma, 2020, 2020 IEEE International Conference on Healthcare Informatics (ICHI).

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework pdf

Volker Tresp, Asja Fischer, Jens Lehmann, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation

Denis Krompass, Volker Tresp, A. Frikha, 2022, ArXiv.

On Calibration of Graph Neural Networks for Node Classification

Hang Li, Volker Tresp, Mitchell Joblin, 2022, 2022 International Joint Conference on Neural Networks (IJCNN).

Temporal Knowledge Graph Forecasting with Neural ODE

Volker Tresp, Yunpu Ma, Zifeng Ding, 2021, ArXiv.

Biologically Inspired Neural Path Finding

D. Cremers, Volker Tresp, Hang Li, 2022, BI.

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

M. Berrendorf, Evgeniy Faerman, Volker Tresp, 2020, 2002.06914.

Continuous Temporal Graph Networks for Event-Based Graph Data

Volker Tresp, Yuyi Wang, Jin Guo, 2022, DLG4NLP.

ARCADe: A Rapid Continual Anomaly Detector

Denis Krompass, Volker Tresp, A. Frikha, 2020, 2020 25th International Conference on Pattern Recognition (ICPR).

InstanceFormer: An Online Video Instance Segmentation Framework

Matthias Schubert, Sahand Sharifzadeh, Volker Tresp, 2022, AAAI.

Biologically Inspired Neural Path Finding

D. Cremers, Volker Tresp, Hang Li, 2022, BI.

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Philip H. S. Torr, Hengshuang Zhao, Volker Tresp, 2022, 2207.12391.

Towards Data-Free Domain Generalization

T. Runkler, Denis Krompass, Volker Tresp, 2021, ArXiv.

The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding

Sahand Sharifzadeh, Yunpu Ma, Volker Tresp, 2021, ArXiv.

The Tensor Brain: A Unified Theory of Perception, Memory and Semantic Decoding

Sahand Sharifzadeh, Yunpu Ma, Volker Tresp, 2021, ArXiv.

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation

Denis Krompass, Volker Tresp, A. Frikha, 2022, ArXiv.

Evaluating Model Robustness to Patch Perturbations

Volker Tresp, Yao Qin, Jindong Gu, 2022 .

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations

Hinrich Schütze, Volker Tresp, Ruotong Liao, 2022, arXiv.org.

Towards Data-Free Domain Generalization

T. Runkler, Denis Krompass, Volker Tresp, 2021, ACML.

Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption

Denis Krompass, Volker Tresp, A. Frikha, 2021, 2022 26th International Conference on Pattern Recognition (ICPR).

CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering

Denis Krompass, Volker Tresp, A. Frikha, 2022, ArXiv.

Do DALL-E and Flamingo Understand Each Other?

Sahand Sharifzadeh, Volker Tresp, Hang Li, 2022, ArXiv.

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information

Volker Tresp, Yunpu Ma, Zifeng Ding, 2022, ArXiv.

The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding

Sahand Sharifzadeh, Yunpu Ma, Volker Tresp, 2021, Neural Computation.

Controllable Multi-Character Psychology-Oriented Story Generation pdf

Yunpu Ma, Volker Tresp, Haizhou Du, 2020, CIKM.

Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs

Volker Tresp, Peng Chen, Yunpu Ma, 2021, ICLR.

NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification

Volker Tresp, Julian Busch, T. Seidl, 2021, SSDBM.

Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning

Volker Tresp, Yinchong Yang, Jindong Gu, 2021, 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI).

Tensor Memories

Volker Tresp, Stephan Baier, Volker Tresp, 2017 .

Relationformer: A Unified Framework for Image-to-Graph Generation

Bjoern H Menze, Jia-Yu Pan, Sahand Sharifzadeh, 2022, ECCV.

Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework

Volker Tresp, Zhen Han, Yunpu Ma, 2021, EMNLP.

Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering pdf

Stephan Günnemann, Volker Tresp, Marcel Hildebrandt, 2021, SEMWEB.

OODformer: Out-Of-Distribution Detection Transformer pdf

Stephan Günnemann, Volker Tresp, Rajat Koner, 2021, BMVC.

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings pdf

Volker Tresp, Jens Lehmann, Charles Tapley Hoyt, 2020, J. Mach. Learn. Res..

Classification by Attention: Scene Graph Classification with Prior Knowledge pdf

Volker Tresp, Sahand Sharifzadeh, Sina Moayed Baharlou, 2020, AAAI.

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

Volker Tresp, Mitchell Joblin, Yunpu Ma, 2021, AAAI Conference on Artificial Intelligence.

Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs

Volker Tresp, Zifeng Ding, Zhen Han, 2021, EMNLP.

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs

Stephan Günnemann, Zhen Han, Yunpu Ma, 2020, AKBC.

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Philip H. S. Torr, Hengshuang Zhao, Volker Tresp, 2022, ECCV.

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models

Philip H. S. Torr, Volker Tresp, Yunpu Ma, 2023, ArXiv.

Capsule Network is Not More Robust than Convolutional Network

Volker Tresp, Han Hu, Jindong Gu, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Interpretable Graph Capsule Networks for Object Recognition

Volker Tresp, Jindong Gu, 2020, AAAI.

Forecasting Question Answering over Temporal Knowledge Graphs

Zhao Meng, Volker Tresp, Yunpu Ma, 2022, ArXiv.

Improving Inductive Link Prediction Using Hyper-Relational Facts

M. Berrendorf, Volker Tresp, Tengfei Ma, 2021, SEMWEB.

Mutual Information State Intrinsic Control pdf

Pieter Abbeel, Wei Xu, Volker Tresp, 2021, ICLR.

Scene Graph Reasoning for Visual Question Answering pdf

Stephan Günnemann, Volker Tresp, Hang Li, 2020, ArXiv.

Improving Scene Graph Classification by Exploiting Knowledge from Texts

Volker Tresp, Martin Schmitt, Sahand Sharifzadeh, 2021, AAAI.

QNEAT: Natural Evolution of Variational Quantum Circuit Architecture

Volker Tresp, Yunpu Ma, Alessandro Giovagnoli, 2023, GECCO Companion.

Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge

Volker Tresp, Jingcheng Wu, Zifeng Ding, 2023, ArXiv.

Effective and Efficient Vote Attack on Capsule Networks

Volker Tresp, Baoyuan Wu, Jindong Gu, 2021, ICLR.

Description-based Label Attention Classifier for Explainable ICD-9 Classification

Volker Tresp, Sophia Althammer, Zhiliang Wu, 2021, WNUT.

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion pdf

Zhen Han, Peng Chen, Yunpu Ma, 2020, EMNLP.

Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs

Yunpu Ma, Volker Tresp, Yujia Gu, 2021, EMNLP.

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction

Volker Tresp, Yunpu Ma, Zifeng Ding, 2022, 2023 International Joint Conference on Neural Networks (IJCNN).

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion

Volker Tresp, Yunpu Ma, Zifeng Ding, 2021, ArXiv.

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion

Roger Wattenhofer, Matthias Schubert, Zhao Meng, 2022, SPNLP.

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning

Volker Tresp, Yunpu Ma, Zifeng Ding, 2023, ArXiv.

Modeling the evolution of temporal knowledge graphs with uncertainty

Volker Tresp, Soeren Nolting, Zhen Han, 2023, ArXiv.

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links

Volker Tresp, Yunpu Ma, Zhen Han, 2020, ArXiv.

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models

Philip H. S. Torr, Shuo Chen, Volker Tresp, 2023, ArXiv.

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models pdf

Volker Tresp, Peter A. Fasching, Yinchong Yang, 2021, MLHC.

Improving Visual Reasoning by Exploiting The Knowledge in Texts pdf

Volker Tresp, Martin Schmitt, Sahand Sharifzadeh, 2021, ArXiv.

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness

Philip H. S. Torr, Hengshuang Zhao, Volker Tresp, 2022, ECCV.

Contextual Prediction Difference Analysis

Volker Tresp, Jindong Gu, 2019, arXiv.org.

Introspective Learning by Distilling Knowledge from Online Self-explanation pdf

Volker Tresp, Jindong Gu, Zhiliang Wu, 2020, ACCV.

Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts

Volker Tresp, Michael Lebacher, T. Decker, 2023, 2023 IEEE 21st International Conference on Industrial Informatics (INDIN).

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

Zhao Meng, Volker Tresp, Ruotong Liao, 2022, 2208.06501.

Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs pdf

Volker Tresp, Mitchell Joblin, Martin Ringsquandl, 2021, ESWC.

A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs

Benjamin M. Gyori, Charles Tapley Hoyt, M. Berrendorf, 2022, ArXiv.

Do DALL-E and Flamingo Understand Each Other?

Sahand Sharifzadeh, Volker Tresp, Hang Li, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation

Denis Krompass, Volker Tresp, A. Frikha, 2022, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Relational and Fine-Grained Argument Mining

Hinrich Schütze, T. Seidl, Volker Tresp, 2020, Datenbank-Spektrum.

GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models

Volker Tresp, Ruotong Liao, Yunpu Ma, 2023, ArXiv.

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

M. Berrendorf, Evgeniy Faerman, Volker Tresp, 2020, 2002.06914.

Multi-event Video-Text Retrieval

Volker Tresp, Gengyuan Zhang, Jindong Gu, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Quantum Architecture Search with Unsupervised Representation Learning

Volker Tresp, Yunpu Ma, Yize Sun, 2024, ArXiv.

Differentiable Quantum Architecture Search For Job Shop Scheduling Problem

Volker Tresp, Yunpu Ma, Yize Sun, 2024, 2401.01158.

SPOT! Revisiting Video-Language Models for Event Understanding

Volker Tresp, Jindong Gu, Gengyuan Zhang, 2023, ArXiv.

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning

Denis Krompass, Volker Tresp, Jindong Gu, 2023, AAAI.

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models

Volker Tresp, Ruotong Liao, Yunpu Ma, 2023, ArXiv.

GenTKG: Generative Forecasting on Temporal Knowledge Graph

Volker Tresp, Ruotong Liao, Yunpu Ma, 2023, ArXiv.

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs

Zhao Meng, Volker Tresp, Ruotong Liao, 2022, SEMWEB.

GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation

Bjoern H Menze, Matthias Schubert, Volker Tresp, 2023, ArXiv.

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

Charles Tapley Hoyt, Asja Fischer, Sahand Sharifzadeh, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.