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- affiliation: Ludwig Maximilian University of Munich, Germany
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Journal Articles
- 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)- 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) - 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) - 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) - 2019
- [j32]Yunpu Ma, Volker Tresp, Erik A. Daxberger:
Embedding models for episodic knowledge graphs. J. Web Semant. 59 (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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 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) - 2001
- [j9]Volker Tresp:
Scaling Kernel-Based Systems to Large Data Sets. Data Min. Knowl. Discov. 5(3): 197-211 (2001) - 2000
- [j8]Volker Tresp:
A Bayesian Committee Machine. Neural Comput. 12(11): 2719-2741 (2000) - 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) - 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) - 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) - 1995
- [j2]Volker Tresp:
Die besonderen Eigenschaften Neuronaler Netze bei der Approximation von Funktionen. Künstliche Intell. 9(5): 12-17 (1995) - 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)
Conference and Workshop Papers
- 2024
- [c196]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 - [c195]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 - [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 - 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 - 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 - 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]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 - [c145]Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp:
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. ICHI 2021: 63-72 - [c144]Jindong Gu, Baoyuan Wu, Volker Tresp:
Effective and Efficient Vote Attack on Capsule Networks. ICLR 2021 - [c143]Zhen Han, Peng Chen, Yunpu Ma, Volker Tresp:
Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs. ICLR 2021 - [c142]Rui Zhao, Yang Gao, Pieter Abbeel, Volker Tresp, Wei Xu:
Mutual Information State Intrinsic Control. ICLR 2021 - [c141]Jindong Gu, Rui Zhao, Volker Tresp:
Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. IJCNN 2021: 1-8 - [c140]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 - [c139]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 - [c138]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 - [c137]Julian Busch, Anton Kocheturov, Volker Tresp, Thomas Seidl:
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. SSDBM 2021: 121-132 - 2020
- [c136]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 - [c135]Jindong Gu, Zhiliang Wu, Volker Tresp:
Introspective Learning by Distilling Knowledge from Online Self-explanation. ACCV (4) 2020: 36-52 - [c134]Zhen Han, Yunpu Ma, Yuyi Wang, Stephan Günnemann, Volker Tresp:
Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. AKBC 2020 - [c133]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 - [c132]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 - [c131]Yunpu Ma, Zhen Han, Volker Tresp:
Learning with Temporal Knowledge Graphs. CIKM (Workshops) 2020 - [c130]Jindong Gu, Volker Tresp:
Improving the Robustness of Capsule Networks to Image Affine Transformations. CVPR 2020: 7283-7291 - [c129]Jindong Gu, Volker Tresp:
Search for Better Students to Learn Distilled Knowledge. ECAI 2020: 1159-1165 - [c128]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 - [c127]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 - [c126]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 - [c125]Ute Schmid, Volker Tresp, Matthias Bethge, Kristian Kersting, Rainer Stiefelhagen:
Künstliche Intelligenz - Die dritte Welle. GI-Jahrestagung 2020: 91-95 - [c124]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 - [c123]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 - [c122]Sahand Sharifzadeh, Sina Moayed Baharlou, Max Berrendorf, Rajat Koner, Volker Tresp:
Improving Visual Relation Detection using Depth Maps. ICPR 2020: 3597-3604 - [c121]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. ICPR 2020: 10449-10456 - [c120]Max Berrendorf, Evgeniy Faerman, Laurent Vermue, Volker Tresp:
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods. WI/IAT 2020: 371-374 - 2019
- [c119]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 - [c118]Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching:
Categorical EHR Imputation with Generative Adversarial Nets. ICHI 2019: 1-10 - [c117]Rui Zhao, Xudong Sun, Volker Tresp:
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. ICML 2019: 7553-7562 - [c116]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 - [c115]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 - 2018
- [c114]Jindong Gu, Yinchong Yang, Volker Tresp:
Understanding Individual Decisions of CNNs via Contrastive Backpropagation. ACCV (3) 2018: 119-134 - [c113]Rui Zhao, Volker Tresp:
Energy-Based Hindsight Experience Prioritization. CoRL 2018: 113-122 - [c112]Yinchong Yang, Volker Tresp, Marius Wunderle, Peter A. Fasching:
Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. ICHI 2018: 152-162 - [c111]Rui Zhao, Volker Tresp:
Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. LaCATODA@IJCAI 2018: 1-7 - [c110]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Information Extraction from Images with Learned Semantic Models. IJCAI 2018: 5214-5218 - [c109]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 - [c108]Rui Zhao, Volker Tresp:
Efficient Dialog Policy Learning via Positive Memory Retention. SLT 2018: 823-830 - [c107]Rui Zhao, Volker Tresp:
Learning Goal-Oriented Visual Dialog via Tempered Policy Gradient. SLT 2018: 868-875 - [c106]Yunpu Ma, Marcel Hildebrandt, Volker Tresp, Stephan Baier:
Holistic Representations for Memorization and Inference. UAI 2018: 403-413 - 2017
- [c105]Stephan Baier, Sigurd Spieckermann, Volker Tresp:
Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. ESANN 2017 - [c104]Volker Tresp, Yunpu Ma, Stephan Baier, Yinchong Yang:
Embedding Learning for Declarative Memories. ESWC (1) 2017: 202-216 - [c103]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 - [c102]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. ICML 2017: 3891-3900 - [c101]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 - [c100]Volker Tresp, Yunpu Ma, Stephan Baier:
Learning with Knowledge Graphs. NeSy 2017 - [c99]Stephan Baier, Yunpu Ma, Volker Tresp:
Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions. ISWC (1) 2017: 53-68 - 2016
- [c98]Yinchong Yang, Cristóbal Esteban, Volker Tresp:
Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling. ESWC 2016: 199-213 - [c97]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass:
Predicting the co-evolution of event and Knowledge Graphs. FUSION 2016: 98-105 - [c96]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 - [c95]Stephan Baier, Denis Krompass, Volker Tresp:
Learning representations for discrete sensor networks using tensor decompositions. MFI 2016: 84-89 - 2015
- [c94]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 - [c93]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 - [c92]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. ISWC (1) 2015: 640-655 - 2014
- [c91]Denis Krompass, Maximilian Nickel, Volker Tresp:
Large-scale factorization of type-constrained multi-relational data. DSAA 2014: 18-24 - [c90]Maximilian Nickel, Xueyan Jiang, Volker Tresp:
Reducing the Rank in Relational Factorization Models by Including Observable Patterns. NIPS 2014: 1179-1187 - [c89]Denis Krompass, Xueyan Jiang, Maximilian Nickel, Volker Tresp:
Probabilistic Latent-Factor Database Models. LD4KD 2014 - [c88]Pasquale Minervini, Claudia d'Amato, Nicola Fanizzi, Volker Tresp:
Learning to Propagate Knowledge in Web Ontologies. URSW 2014: 13-24 - [c87]Denis Krompaß, Maximilian Nickel, Volker Tresp:
Querying Factorized Probabilistic Triple Databases. ISWC (2) 2014: 114-129 - 2013
- [c86]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 - [c85]Maximilian Nickel, Volker Tresp:
An Analysis of Tensor Models for Learning on Structured Data. ECML/PKDD (2) 2013: 272-287 - [c84]Maximilian Nickel, Volker Tresp:
Tensor Factorization for Multi-relational Learning. ECML/PKDD (3) 2013: 617-621 - 2012
- [c83]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 - [c82]Xueyan Jiang, Yi Huang, Maximilian Nickel, Volker Tresp:
Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction. ESWC 2012: 164-178 - [c81]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 - [c80]Xueyan Jiang, Volker Tresp, Yi Huang, Maximilian Nickel:
Link Prediction in Multi-relational Graphs using Additive Models. SeRSy 2012: 1-12 - [c79]Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel:
Factorizing YAGO: scalable machine learning for linked data. WWW 2012: 271-280 - [c78]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 - 2011
- [c77]Hendrik Wermser, Achim Rettinger, Volker Tresp:
Modeling and Learning Context-Aware Recommendation Scenarios Using Tensor Decomposition. ASONAM 2011: 137-144 - [c76]Joshua L. Moore, Florian Steinke, Volker Tresp:
A Novel Metric for Information Retrieval in Semantic Networks. ESWC Workshops 2011: 65-79 - [c75]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 - [c74]Volker Tresp, Yi Huang, Xueyan Jiang, Achim Rettinger:
Graphical Models for Relations - Modeling Relational Context. KDIR 2011: 114-120 - [c73]Maximilian Nickel, Volker Tresp, Hans-Peter Kriegel:
A Three-Way Model for Collective Learning on Multi-Relational Data. ICML 2011: 809-816 - [c72]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
- [c71]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 - [c70]Yi Huang, Volker Tresp, Markus Bundschus, Achim Rettinger, Hans-Peter Kriegel:
Multivariate Prediction for Learning on the Semantic Web. ILP 2010: 92-104 - 2009
- [c69]Markus Bundschus, Shipeng Yu, Volker Tresp, Achim Rettinger, Mathäus Dejori, Hans-Peter Kriegel:
Hierarchical Bayesian Models for Collaborative Tagging Systems. ICDM 2009: 728-733 - [c68]Volker Tresp, Kai Yu:
Tutorial summary: Learning with dependencies between several response variables. ICML 2009: 14 - [c67]Zhao Xu, Kristian Kersting, Volker Tresp:
Multi-Relational Learning with Gaussian Processes. IJCAI 2009: 1309-1314 - [c66]Achim Rettinger, Matthias Nickles, Volker Tresp:
Statistical Relational Learning with Formal Ontologies. ECML/PKDD (2) 2009: 286-301 - 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
- [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
- [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
- [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
- [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
- [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 - 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 - 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
- [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
- [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
- [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
- [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 - 1990
- [c1]Volker Tresp:
A Neural Network Approach for Three-Dimensional Object Recognition. NIPS 1990: 306-312
Parts in Books or Collections
- 2014
- [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
Editorship
- 2021
- [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] - 2016
- [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] - 2001
- [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]
Reference Works
- 2018
- [r2]Volker Tresp, Maximilian Nickel:
Relational Models. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - 2014
- [r1]Volker Tresp, Maximilian Nickel:
Relational Models. Encyclopedia of Social Network Analysis and Mining 2014: 1550-1561
Informal and Other Publications
- 2024
- [i133]Yize Sun, Zixin Wu, Yunpu Ma, Volker Tresp:
Quantum Architecture Search with Unsupervised Representation Learning. CoRR abs/2401.11576 (2024) - [i132]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) - [i131]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) - [i130]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) - [i129]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) - [i128]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) - [i127]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) - [i126]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) - [i125]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) - 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
- [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
- [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
- [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) - 2019
- [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
- [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
- [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
- [i15]Cristóbal Esteban, Oliver Staeck, 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
- [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) - 2013
- [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
- [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) - 1991
- [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)
Coauthor Index
[c196] [c193] [c185] [c181] [c180] [c179] [c175] [c163] [c162] [c151] [c145] [c144] [c141] [c135] [c130] [c129] [c114] [i132] [i130] [i129] [i128] [i120] [i117] [i116] [i115] [i114] [i105] [i104] [i103] [i94] [i89] [i88] [i85] [i81] [i80] [i67] [i66] [i58] [i45] [i41] [i35] [i32] [i31] [i29] [i27] [i20]
Denis Krompass
aka: Denis Krompaß
aka: Denis Krompaß
[j37] [j32] [c194] [c191] [c190] [c183] [c178] [c177] [c175] [c174] [c172] [c171] [c168] [c167] [c165] [c153] [c148] [c147] [c143] [c136] [c134] [c133] [c131] [c126] [c123] [c110] [c106] [c104] [c100] [c99] [i133] [i125] [i123] [i120] [i112] [i111] [i110] [i106] [i99] [i93] [i90] [i87] [i73] [i70] [i65] [i64] [i63] [i62] [i61] [i59] [i55] [i54] [i50] [i44] [i43] [i40] [i38] [i26] [i24] [i23] [i18]
Philip Torr 0001
aka: Philip H. S. Torr
aka: Philip H. S. Torr
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