A Neural Network Approach for Three-Dimensional Object Recognition. - Volker Tresp (NIPS, 1990)

A Neural Architecture for 2D and 3D Vision. - Volker Tresp (DAGM-Symposium, 1991)

Neural Control for Rolling Mills: Incorporating Domain Theories to Overcome Data Deficiency. - Martin Röscheisen; Reimar Hofmann; Volker Tresp (NIPS, 1991)

Incorporating prior knowledge in parsimonious networks of locally tuned units - Reimar Hofmann; Martin Röscheisen; Volker Tresp (Forschungsberichte, TU Munich, 1991)

Integrating Rule-Based Knowledge into Neural Computing. - Jürgen Hollatz; Volker Tresp (DAGM-Symposium, 1992)

Neuronale Netze zur Segmentierung und Clusterung von biomagnetischen Signalen. - Martin F. Schlang; Volker Tresp; Klaus Abraham-Fuchs; Wolfgang Härer; P. Weismüller (DAGM-Symposium, 1992)

Some Solutions to the Missing Feature Problem in Vision. - Subutai Ahmad; Volker Tresp (NIPS, 1992)

Network Structuring and Training Using Rule-Based Knowledge. - Volker Tresp; Jürgen Hollatz; Subutai Ahmad (NIPS, 1992)

Classification with missing and uncertain inputs. - Subutai Ahmad; Volker Tresp (ICNN, 1993)

Training Neural Networks with Deficient Data. - Volker Tresp; Subutai Ahmad; Ralph Neuneier (NIPS, 1993)

Efficient Methods for Dealing with Missing Data in Supervised Learning. - Volker Tresp; Ralph Neuneier; Subutai Ahmad (NIPS, 1994)

Combining Estimators Using Non-Constant Weighting Functions. - Volker Tresp; Michiaki Taniguchi (NIPS, 1994)

Videographic tomography. II. Reconstruction with fan-beam projection data. - Volker Tresp; Rodney Snell; Arthur F. Gmitro (IEEE Trans. Medical Imaging, 1994)

Discovering Structure in Continuous Variables Using Bayesian Networks. - Reimar Hofmann; Volker Tresp (NIPS, 1995)

Improved Gaussian Mixture Density Estimates Using Bayesian Penalty Terms and Network Averaging. - Dirk Ormoneit; Volker Tresp (NIPS, 1995)

Die besonderen Eigenschaften Neuronaler Netze bei der Approximation von Funktionen. - Volker Tresp (Künstliche Intell., 1995)

Early Brain Damage. - Volker Tresp; Ralph Neuneier; Hans-Georg Zimmermann (NIPS, 1996)

Combining Regularized Neural Networks. - Michiaki Taniguchi; Volker Tresp (ICANN, 1997)

Nonlinear Markov Networks for Continuous Variables. - Reimar Hofmann; Volker Tresp (NIPS, 1997)

A Solution for Missing Data in Recurrent Neural Networks with an Application to Blood Glucose Prediction. - Volker Tresp; Thomas Briegel (NIPS, 1997)

Representing Probabilistic Rules with Networks of Gaussian Basis Functions. - Volker Tresp; Jürgen Hollatz; Subutai Ahmad (Mach. Learn., 1997)

Averaging Regularized Estimators. - Michiaki Taniguchi; Volker Tresp (Neural Comput., 1997)

Fraud detection in communication networks using neural and probabilistic methods. - Michiaki Taniguchi; Michael Haft; Jaakko Hollmén; Volker Tresp (ICASSP, 1998)

Fisher Scoring and a Mixture of Modes Approach for Approximate Inference and Learning in Nonlinear State Space Models. - Thomas Briegel; Volker Tresp (NIPS, 1998)

Call-Based Fraud Detection in Mobile Communication Networks Using a Hierarchical Regime-Switching Model. - Jaakko Hollmén; Volker Tresp (NIPS, 1998)

Nonlinear Time-Series Prediction with Missing and Noisy Data. - Volker Tresp; Reimar Hofmann (Neural Comput., 1998)

Averaging, maximum penalized likelihood and Bayesian estimation for improving Gaussian mixture probability density estimates. - Dirk Ormoneit; Volker Tresp (IEEE Trans. Neural Networks, 1998)

Mean field inference in a general probabilistic setting. - Michael Haft; Reimar Hofmann; Volker Tresp (AISTATS, 1999)

Robust Neural Network Regression for Offline and Online Learning. - Thomas Briegel; Volker Tresp (NIPS, 1999)

Mixture Approximations to Bayesian Networks. - Volker Tresp; Michael Haft; Reimar Hofmann (UAI, 1999)

Neural-network models for the blood glucose metabolism of a diabetic. - Volker Tresp; Thomas Briegel; John Moody (IEEE Trans. Neural Networks, 1999)

A hidden Markov model for metric and event-based data. - Jaakko Hollmén; Volker Tresp (EUSIPCO, 2000)

A learning vector quantization algorithm for probabilistic models. - Jaakko Hollmén; Volker Tresp; Olli Simula (EUSIPCO, 2000)

The generalized Bayesian committee machine. - Volker Tresp (KDD, 2000)

Mixtures of Gaussian Processes. - Volker Tresp (NIPS, 2000)

A Bayesian Committee Machine. - Volker Tresp (Neural Comput., 2000)

Knowledge Acquisition and Automated Generation of Bayesian Networks for a Medical Dialogue and Advisory System. - Joachim Horn; Thomas Birkhölzer; Oliver Hogl; Marco Pellegrino; Ruxandra Scheiterer; Kai-Uwe Schmidt; Volker Tresp (AIME, 2001)

The Bayesian Committee Support Vector Machine. - Anton Schwaighofer; Volker Tresp (ICANN, 2001)

Scalable Kernel Systems. - Volker Tresp; Anton Schwaighofer (ICANN, 2001)

Scaling Kernel-Based Systems to Large Data Sets. - Volker Tresp (Data Min. Knowl. Discov., 2001)

Removing redundancy and inconsistency in memory-based collaborative filtering. - Kai Yu 001; Xiaowei Xu 001; Anton Schwaighofer; Volker Tresp; Hans-Peter Kriegel (CIKM, 2002)

Transductive and Inductive Methods for Approximate Gaussian Process Regression. - Anton Schwaighofer; Volker Tresp (NIPS, 2002)

The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging. - Anton Schwaighofer; Volker Tresp; Peter Mayer 005; Alexander K. Scheel; Gerhard A. Müller (NIPS, 2002)

A Hybrid Relevance-Feedback Approach to Text Retrieval. - Zhao Xu 001; Xiaowei Xu 001; Kai Yu 001; Volker Tresp (ECIR, 2003)

Representative Sampling for Text Classification Using Support Vector Machines. - Zhao Xu 001; Kai Yu 001; Volker Tresp; Xiaowei Xu 001; Jizhi Wang (ECIR, 2003)

An Introduction to Nonparametric Hierarchical Bayesian Modelling with a Focus on Multi-agent Learning. - Volker Tresp; Kai Yu 001 (European Summer School on Multi-AgentControl, 2003)

Knowing a tree from the forest: art image retrieval using a society of profiles. - Kai Yu 001; Wei-Ying Ma; Volker Tresp; Zhao Xu 001; Xiaofei He 001; HongJiang Zhang; Hans-Peter Kriegel (ACM Multimedia, 2003)

GPPS: A Gaussian Process Positioning System for Cellular Networks. - Anton Schwaighofer; Marian Grigoras; Volker Tresp; Clemens Hoffmann 001 (NIPS, 2003)

Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes. - Kai Yu 001; Anton Schwaighofer; Volker Tresp; Wei-Ying Ma; HongJiang Zhang (UAI, 2003)

Classification of rheumatoid joint inflammation based on laser imaging. - Anton Schwaighofer; Volker Tresp; Peter Mayer 005; Andreas Krause 004; Jürgen Beuthan; Helmut Rost; Georg Metzger; Gerhard A. Müller; Alexander K. Scheel (IEEE Trans. Biomed. Eng., 2003)

Heterogenous Data Fusion via a Probabilistic Latent-Variable Model. - Kai Yu 001; Volker Tresp (ARCS, 2004)

Learning Gaussian Process Kernels via Hierarchical Bayes. - Anton Schwaighofer; Volker Tresp; Kai Yu 001 (NIPS, 2004)

A nonparametric hierarchical bayesian framework for information filtering. - Kai Yu 001; Volker Tresp; Shipeng Yu (SIGIR, 2004)

Generative binary codes. - Michael Haft; Reimar Hofmann; Volker Tresp (Pattern Anal. Appl., 2004)

Probabilistic Memory-Based Collaborative Filtering. - Kai Yu 001; Anton Schwaighofer; Volker Tresp; Xiaowei Xu 001; Hans-Peter Kriegel (IEEE Trans. Knowl. Data Eng., 2004)

Dirichlet Enhanced Latent Semantic Analysis. - Kai Yu 001; Shipeng Yu; Volker Tresp (AISTATS, 2005)

Multi-Output Regularized Projection. - Kai Yu 001; Shipeng Yu; Volker Tresp (CVPR (2), 2005)

Hierarchy-Regularized Latent Semantic Indexing. - Yi Huang 002; Kai Yu 001; Matthias Schubert; Shipeng Yu; Volker Tresp; Hans-Peter Kriegel (ICDM, 2005)

Dirichlet enhanced relational learning. - Zhao Xu 001; Volker Tresp; Kai Yu 001; Shipeng Yu; Hans-Peter Kriegel (ICML, 2005)

Learning Gaussian processes from multiple tasks. - Kai Yu 001; Volker Tresp; Anton Schwaighofer (ICML, 2005)

Soft Clustering on Graphs. - Shipeng Yu; Kai Yu 001; Volker Tresp (NIPS, 2005)

A Probabilistic Clustering-Projection Model for Discrete Data. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel (PKDD, 2005)

Multi-label informed latent semantic indexing. - Kai Yu 001; Shipeng Yu; Volker Tresp (SIGIR, 2005)

Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel (ECML, 2006)

Active learning via transductive experimental design. - Kai Yu 001; Jinbo Bi; Volker Tresp (ICML, 2006)

Collaborative ordinal regression. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel (ICML, 2006)

Supervised probabilistic principal component analysis. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel; Mingrui Wu (KDD, 2006)

Stochastic Relational Models for Discriminative Link Prediction. - Kai Yu 001; Wei Chu; Shipeng Yu; Volker Tresp; Zhao Xu 001 (NIPS, 2006)

Infinite Hidden Relational Models. - Zhao Xu 001; Volker Tresp; Kai Yu 001; Hans-Peter Kriegel (UAI, 2006)

Multi-Output Regularized Feature Projection. - Shipeng Yu; Kai Yu 001; Volker Tresp; Hans-Peter Kriegel (IEEE Trans. Knowl. Data Eng., 2006)

Learning Initial Trust Among Interacting Agents. - Achim Rettinger; Matthias Nickles; Volker Tresp (CIA, 2007)

Structure Learning with Nonparametric Decomposable Models. - Anton Schwaighofer; Mathäus Dejori; Volker Tresp; Martin Stetter (ICANN (1), 2007)

Robust multi-task learning with t-processes. - Shipeng Yu; Volker Tresp; Kai Yu 001 (ICML, 2007)

Fast Inference in Infinite Hidden Relational Models. - Zhao Xu 001; Volker Tresp; Shipeng Yu; Kai Yu 001; Hans-Peter Kriegel (MLG, 2007)

Tailored-to-Fit Bayesian Network Modeling of Expert Diagnostic Knowledge. - Ruxandra Lupas Scheiterer; Dragan Obradovic; Volker Tresp (J. VLSI Signal Process., 2007)

A statistical relational model for trust learning. - Achim Rettinger; Matthias Nickles; Volker Tresp (AAMAS (2), 2008)

Social Network Mining with Nonparametric Relational Models. - Zhao Xu 001; Volker Tresp; Achim Rettinger; Kristian Kersting (SNAKDD, 2008)

Towards LarKC: A Platform for Web-Scale Reasoning. - 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; et al. (ICSC, 2008)

Towards Machine Learning on the Semantic Web. - Volker Tresp; Markus Bundschus; Achim Rettinger; Yi Huang 002 (URSW (LNCS Vol.), 2008)

Extraction of semantic biomedical relations from text using conditional random fields. - Markus Bundschus; Mathäus Dejori; Martin Stetter; Volker Tresp; Hans-Peter Kriegel (BMC Bioinform., 2008)

Hierarchical Bayesian Models for Collaborative Tagging Systems. - Markus Bundschus; Shipeng Yu; Volker Tresp; Achim Rettinger; Mathäus Dejori; Hans-Peter Kriegel (ICDM, 2009)

Tutorial summary: Learning with dependencies between several response variables. - Volker Tresp; Kai Yu 001 (ICML, 2009)

Multi-Relational Learning with Gaussian Processes. - Zhao Xu 001; Kristian Kersting; Volker Tresp (IJCAI, 2009)

Materializing and Querying Learned Knowledge. - Volker Tresp; Yi Huang 002; Markus Bundschus; Achim Rettinger (MLG/SRL@ILP, 2009)

Statistical Relational Learning with Formal Ontologies. - Achim Rettinger; Matthias Nickles; Volker Tresp (ECML/PKDD (2), 2009)

Digging for knowledge with information extraction: a case study on human gene-disease associations. - Markus Bundschus; Anna Bauer-Mehren; Volker Tresp; Laura Inés Furlong; Hans-Peter Kriegel (CIKM, 2010)

Multivariate Prediction for Learning on the Semantic Web. - Yi Huang 002; Volker Tresp; Markus Bundschus; Achim Rettinger; Hans-Peter Kriegel (ILP, 2010)

Deductive and Inductive Stream Reasoning for Semantic Social Media Analytics. - Davide Francesco Barbieri; Daniele Braga; Stefano Ceri; Emanuele Della Valle; Yi Huang 002; Volker Tresp; Achim Rettinger; Hendrik Wermser (IEEE Intell. Syst., 2010)

Modeling and Learning Context-Aware Recommendation Scenarios Using Tensor Decomposition. - Hendrik Wermser; Achim Rettinger; Volker Tresp (ASONAM, 2011)

Towards BOTTARI: Using Stream Reasoning to Make Sense of Location-Based Micro-posts. - Irene Celino; Daniele Dell'Aglio; Emanuele Della Valle; Yi Huang 002; Tony Kyung-il Lee; Seon-Ho Kim; Volker Tresp (ESWC Workshops, 2011)

A Novel Metric for Information Retrieval in Semantic Networks. - Joshua L. Moore; Florian Steinke; Volker Tresp (ESWC Workshops, 2011)

Graphical Models for Relations - Modeling Relational Context. - Volker Tresp; Yi Huang 002; Xueyan Jiang; Achim Rettinger (KDIR, 2011)

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

Making Sense of Location-based Micro-posts Using Stream Reasoning. - Irene Celino; Daniele Dell'Aglio; Emanuele Della Valle; Yi Huang 002; Tony Kyung-il Lee; Stanley Park; Volker Tresp (#MSM, 2011)

Semantic Traffic-Aware Routing Using the LarKC Platform. - Emanuele Della Valle; Irene Celino; Daniele Dell'Aglio; Ralph Grothmann; Florian Steinke; Volker Tresp (IEEE Internet Comput., 2011)

Statistical relational learning of trust. - Achim Rettinger; Matthias Nickles; Volker Tresp (Mach. Learn., 2011)

Natural Language Questions for the Web of Data. - Mohamed Yahya 001; Klaus Berberich; Shady Elbassuoni; Maya Ramanath; Volker Tresp; Gerhard Weikum (EMNLP-CoNLL, 2012)

Combining Information Extraction, Deductive Reasoning and Machine Learning for Relation Prediction. - Xueyan Jiang; Yi Huang 002; Maximilian Nickel; Volker Tresp (ESWC, 2012)

Scalable Relation Prediction Exploiting Both Intrarelational Correlation and Contextual Information. - Xueyan Jiang; Volker Tresp; Yi Huang 002; Maximilian Nickel; Hans-Peter Kriegel (ECML/PKDD (1), 2012)

Link Prediction in Multi-relational Graphs using Additive Models. - Xueyan Jiang; Volker Tresp; Yi Huang 002; Maximilian Nickel (SeRSy, 2012)

Factorizing YAGO: scalable machine learning for linked data. - Maximilian Nickel; Volker Tresp; Hans-Peter Kriegel (WWW, 2012)

Deep answers for naturally asked questions on the web of data. - Mohamed Yahya 001; Klaus Berberich; Shady Elbassuoni; Maya Ramanath; Volker Tresp; Gerhard Weikum (WWW (Companion Volume), 2012)

Mining the Semantic Web - Statistical learning for next generation knowledge bases. - Achim Rettinger; Uta Lösch; Volker Tresp; Claudia d'Amato; Nicola Fanizzi (Data Min. Knowl. Discov., 2012)

Context-aware tensor decomposition for relation prediction in social networks. - Achim Rettinger; Hendrik Wermser; Yi Huang 002; Volker Tresp (Soc. Netw. Anal. Min., 2012)

BOTTARI: An augmented reality mobile application to deliver personalized and location-based recommendations by continuous analysis of social media streams. - Marco Balduini; Irene Celino; Daniele Dell'Aglio; Emanuele Della Valle; Yi Huang 002; Tony Kyung-il Lee; Seon-Ho Kim; Volker Tresp (J. Web Semant., 2012)

Location-Based Mobile Recommendations by Hybrid Reasoning on Social Media Streams. - Tony Kyung-il Lee; Seon-Ho Kim; Marco Balduini; Daniele Dell'Aglio; Irene Celino; Yi Huang 002; Volker Tresp; Emanuele Della Valle (JIST, 2013)

An Analysis of Tensor Models for Learning on Structured Data. - Maximilian Nickel; Volker Tresp (ECML/PKDD (2), 2013)

Tensor Factorization for Multi-relational Learning. - Maximilian Nickel; Volker Tresp (ECML/PKDD (3), 2013)

Logistic Tensor Factorization for Multi-Relational Data. - Maximilian Nickel; Volker Tresp (CoRR, 2013)

Towards a New Science of a Clinical Data Intelligence. - Volker Tresp; Denis Krompass (CoRR, 2013)

Large-scale factorization of type-constrained multi-relational data. - Denis Krompass; Maximilian Nickel; Volker Tresp (DSAA, 2014)

Reducing the Rank in Relational Factorization Models by Including Observable Patterns. - Maximilian Nickel; Xueyan Jiang; Volker Tresp (NIPS, 2014)

Probabilistic Latent-Factor Database Models. - Denis Krompass; Xueyan Jiang; Maximilian Nickel; Volker Tresp (LD4KD, 2014)

Querying Factorized Probabilistic Triple Databases. - Denis Krompaß; Maximilian Nickel; Volker Tresp (ISWC (2), 2014)

Learning to Propagate Knowledge in Web Ontologies. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Volker Tresp (URSW, 2014)

Reality mining on micropost streams - Deductive and inductive reasoning for personalized and location-based recommendations. - Marco Balduini; Irene Celino; Daniele Dell'Aglio; Emanuele Della Valle; Yi Huang 002; Tony Kyung-il Lee; Seon-Ho Kim; Volker Tresp (Semantic Web, 2014)

A scalable approach for statistical learning in semantic graphs. - Yi Huang 002; Volker Tresp; Maximilian Nickel; Achim Rettinger; Hans-Peter Kriegel (Semantic Web, 2014)

Relational Models. - Volker Tresp; Maximilian Nickel (Encyclopedia of Social Network Analysis and Mining, 2014)

Core Technologies for the Internet of Services. - Tilman Becker; Catherina Burghart; Kawa Nazemi; Patrick Ndjiki-Nya; Thomas Riegel; Ralf Schäfer; Thomas Sporer; Volker Tresp; Jens Wissmann (Towards the Internet of Services, 2014)

Querying the Web with Statistical Machine Learning. - Volker Tresp; Yi Huang 002; Maximilian Nickel (Towards the Internet of Services, 2014)

Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model. - Cristóbal Esteban; Danilo Schmidt; Denis Krompass; Volker Tresp (ICHI, 2015)

Probabilistic Hoeffding Trees - Sped-Up Convergence and Adaption of Online Trees on Changing Data Streams. - Jonathan Boidol; Andreas Hapfelmeier; Volker Tresp (ICDM, 2015)

Type-Constrained Representation Learning in Knowledge Graphs. - Denis Krompaß; Stephan Baier; Volker Tresp (ISWC (1), 2015)

A Review of Relational Machine Learning for Knowledge Graphs: From Multi-Relational Link Prediction to Automated Knowledge Graph Construction. - Maximilian Nickel; Kevin Murphy 002; Volker Tresp; Evgeniy Gabrilovich (CoRR, 2015)

Learning with Memory Embeddings. - Volker Tresp; Cristóbal Esteban; Yinchong Yang; Stephan Baier; Denis Krompaß (CoRR, 2015)

Exploiting Latent Embeddings of Nominal Clinical Data for Predicting Hospital Readmission. - Denis Krompaß; Cristóbal Esteban; Volker Tresp; Martin Sedlmayr; Thomas Ganslandt (Künstliche Intell., 2015)

Embedding Mapping Approaches for Tensor Factorization and Knowledge Graph Modelling. - Yinchong Yang; Cristóbal Esteban; Volker Tresp (ESWC, 2016)

Predicting the co-evolution of event and Knowledge Graphs. - Cristóbal Esteban; Volker Tresp; Yinchong Yang; Stephan Baier; Denis Krompass (FUSION, 2016)

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks. - Cristóbal Esteban; Oliver Staeck; Stephan Baier; Yinchong Yang; Volker Tresp (ICHI, 2016)

Learning representations for discrete sensor networks using tensor decompositions. - Stephan Baier; Denis Krompass; Volker Tresp (MFI, 2016)

Relational Models. - Volker Tresp; Maximilian Nickel (CoRR, 2016)

Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding. - Yinchong Yang; Peter A. Fasching; Markus Wallwiener; Tanja N. Fehm; Sara Y. Brucker; Volker Tresp (CoRR, 2016)

Tensor Computing for Internet of Things (Dagstuhl Perspectives Workshop 16152). - Evrim Acar; Animashree Anandkumar; Lenore Mullin; Sebnem Rusitschka; Volker Tresp (Dagstuhl Reports, 2016)

The Clinical Data Intelligence Project - A smart data initiative. - 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; et al. (Inform. Spektrum, 2016)

Discovering Similarity and Dissimilarity Relations for Knowledge Propagation in Web Ontologies. - Pasquale Minervini; Claudia d'Amato; Nicola Fanizzi; Volker Tresp (J. Data Semant., 2016)

Big Data: Practical Applications [Scanning the Issue]. - Simon Haykin 001; Volker Tresp; Jón Atli Benediktsson (Proc. IEEE, 2016)

A Review of Relational Machine Learning for Knowledge Graphs. - Maximilian Nickel; Kevin Murphy 002; Volker Tresp; Evgeniy Gabrilovich (Proc. IEEE, 2016)

Going Digital: A Survey on Digitalization and Large-Scale Data Analytics in Healthcare. - Volker Tresp; J. Marc Overhage; Markus Bundschus; Shahrooz Rabizadeh; Peter A. Fasching; Shipeng Yu (Proc. IEEE, 2016)

Attention-based Information Fusion using Multi-Encoder-Decoder Recurrent Neural Networks. - Stephan Baier; Sigurd Spieckermann; Volker Tresp (ESANN, 2017)

Embedding Learning for Declarative Memories. - Volker Tresp; Yunpu Ma; Stephan Baier; Yinchong Yang (ESWC (1), 2017)

Predictive Modeling of Therapy Decisions in Metastatic Breast Cancer with Recurrent Neural Network Encoder and Multinomial Hierarchical Regression Decoder. - Yinchong Yang; Peter A. Fasching; Volker Tresp (ICHI, 2017)

Tensor-Train Recurrent Neural Networks for Video Classification. - Yinchong Yang; Denis Krompass; Volker Tresp (ICML, 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 (MLHC, 2017)

Learning with Knowledge Graphs. - Volker Tresp; Yunpu Ma; Stephan Baier (NeSy, 2017)

Improving Visual Relationship Detection Using Semantic Modeling of Scene Descriptions. - Stephan Baier; Yunpu Ma; Volker Tresp (ISWC (1), 2017)

The Tensor Memory Hypothesis. - Volker Tresp; Yunpu Ma (CoRR, 2017)

Tensor Decompositions for Modeling Inverse Dynamics. - Stephan Baier; Volker Tresp (CoRR, 2017)

Understanding Individual Decisions of CNNs via Contrastive Backpropagation. - Jindong Gu; Yinchong Yang; Volker Tresp (ACCV (3), 2018)

Energy-Based Hindsight Experience Prioritization. - Rui Zhao 011; Volker Tresp (CoRL, 2018)

Explaining Therapy Predictions with Layer-Wise Relevance Propagation in Neural Networks. - Yinchong Yang; Volker Tresp; Marius Wunderle; Peter A. Fasching (ICHI, 2018)

Improving Information Extraction from Images with Learned Semantic Models. - Stephan Baier; Yunpu Ma; Volker Tresp (IJCAI, 2018)

Improving Goal-Oriented Visual Dialog Agents via Advanced Recurrent Nets with Tempered Policy Gradient. - Rui Zhao 011; Volker Tresp (LaCATODA@IJCAI, 2018)

Configuration of Industrial Automation Solutions Using Multi-relational Recommender Systems. - Marcel Hildebrandt; Swathi Shyam Sunder; Serghei Mogoreanu; Ingo Thon; Volker Tresp; Thomas A. Runkler (ECML/PKDD (3), 2018)

Efficient Dialog Policy Learning via Positive Memory Retention. - Rui Zhao 011; Volker Tresp (SLT, 2018)

Learning Goal-Oriented Visual Dialog via Tempered Policy Gradient. - Rui Zhao 011; Volker Tresp (SLT, 2018)

Holistic Representations for Memorization and Inference. - Yunpu Ma; Marcel Hildebrandt; Volker Tresp; Stephan Baier (UAI, 2018)

Embedding Models for Episodic Memory. - Yunpu Ma; Volker Tresp; Erik A. Daxberger (CoRR, 2018)

Adaptive Knowledge Propagation in Web Ontologies. - Pasquale Minervini; Volker Tresp; Claudia d'Amato; Nicola Fanizzi (ACM Trans. Web, 2018)

Relational Models. - Volker Tresp; Maximilian Nickel (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

A Recommender System for Complex Real-World Applications with Nonlinear Dependencies and Knowledge Graph Context. - Marcel Hildebrandt; Swathi Shyam Sunder; Serghei Mogoreanu; Mitchell Joblin; Akhil Mehta; Ingo Thon; Volker Tresp (ESWC, 2019)

Categorical EHR Imputation with Generative Adversarial Nets. - Yinchong Yang; Zhiliang Wu; Volker Tresp; Peter A. Fasching (ICHI, 2019)

Maximum Entropy-Regularized Multi-Goal Reinforcement Learning. - Rui Zhao 011; Xudong Sun 002; Volker Tresp (ICML, 2019)

Remaining Useful Life Estimation for Unknown Motors Using a Hybrid Modeling Approach. - Marcel Hildebrandt; Mohamed Khalil; Christoph Bergs; Volker Tresp; Roland Wüchner; Kai-Uwe Bletzinger; Michael Heizmann (INDIN, 2019)

Noise as Domain Shift: Denoising Medical Images by Unpaired Image Translation. - Ilja Manakov; Markus Rohm; Christoph Kern; Benedikt Schworm; Karsten U. Kortuem; Volker Tresp (DART/MIL3ID@MICCAI, 2019)

Curiosity-Driven Experience Prioritization via Density Estimation. - Rui Zhao 011; Volker Tresp (CoRR, 2019)

Variational Quantum Circuit Model for Knowledge Graphs Embedding. - Yunpu Ma; Volker Tresp; Liming Zhao; Yuyi Wang 001 (CoRR, 2019)

Improving Visual Relation Detection using Depth Maps. - Sahand Sharifzadeh; Max Berrendorf; Volker Tresp (CoRR, 2019)

Saliency Methods for Explaining Adversarial Attacks. - Jindong Gu; Volker Tresp (CoRR, 2019)

Push it to the Limit: Discover Edge-Cases in Image Data with Autoencoders. - Ilja Manakov; Volker Tresp (CoRR, 2019)

Semantics for Global and Local Interpretation of Deep Neural Networks. - Jindong Gu; Volker Tresp (CoRR, 2019)

Contextual Prediction Difference Analysis. - Jindong Gu; Volker Tresp (CoRR, 2019)

Walking the Tightrope: An Investigation of the Convolutional Autoencoder Bottleneck. - Ilja Manakov; Markus Rohm; Volker Tresp (CoRR, 2019)

Neural Network Memorization Dissection. - Jindong Gu; Volker Tresp (CoRR, 2019)

Embedding models for episodic knowledge graphs. - Yunpu Ma; Volker Tresp; Erik A. Daxberger (J. Web Semant., 2019)

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

Introspective Learning by Distilling Knowledge from Online Self-explanation. - Jindong Gu; Zhiliang Wu; Volker Tresp (ACCV (4), 2020)

Graph Hawkes Neural Network for Forecasting on Temporal Knowledge Graphs. - Zhen Han 003; Yunpu Ma; Yuyi Wang 001; Stephan Günnemann; Volker Tresp (AKBC, 2020)

CSSA'20: Workshop on Combining Symbolic and Sub-Symbolic Methods and their Applications. - Mehwish Alam; Paul Groth; Pascal Hitzler; Heiko Paulheim; Harald Sack; Volker Tresp (CIKM, 2020)

Learning with Temporal Knowledge Graphs. - Yunpu Ma; Zhen Han 003; Volker Tresp (CIKM (Workshops), 2020)

Controllable Multi-Character Psychology-Oriented Story Generation. - Feifei Xu; Xinpeng Wang 001; Yunpu Ma; Volker Tresp; Yuyi Wang 001; Shanlin Zhou; Haizhou Du (CIKM, 2020)

Improving the Robustness of Capsule Networks to Image Affine Transformations. - Jindong Gu; Volker Tresp (CVPR, 2020)

Search for Better Students to Learn Distilled Knowledge. - Jindong Gu; Volker Tresp (ECAI, 2020)

Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned. - Max Berrendorf; Evgeniy Faerman; Valentyn Melnychuk; Volker Tresp; Thomas Seidl 001 (ECIR (2), 2020)

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion. - Zhen Han 003; Peng Chen; Yunpu Ma; Volker Tresp (EMNLP (1), 2020)

An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing. - Martin Schmitt; Sahand Sharifzadeh; Volker Tresp; Hinrich Schütze (EMNLP (1), 2020)

Künstliche Intelligenz - Die dritte Welle. - Ute Schmid; Volker Tresp; Matthias Bethge; Kristian Kersting; Rainer Stiefelhagen (GI-Jahrestagung, 2020)

Human-Machine Collaboration for Medical Image Segmentation. - Mahdyar Ravanbakhsh; Vadim Tschernezki; Felix Last; Tassilo Klein; Kayhan Batmanghelich; Volker Tresp; Moin Nabi (ICASSP, 2020)

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score. - Zhiliang Wu; Yinchong Yang; Yunpu Ma; Yushan Liu 002; Rui Zhao 011; Michael Moor; Volker Tresp (ICHI, 2020)

ARCADe: A Rapid Continual Anomaly Detector. - Ahmed Frikha 002; Denis Krompaß; Volker Tresp (ICPR, 2020)

Improving Visual Relation Detection using Depth Maps. - Sahand Sharifzadeh; Sina Moayed Baharlou; Max Berrendorf; Rajat Koner; Volker Tresp (ICPR, 2020)

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods. - Max Berrendorf; Evgeniy Faerman; Laurent Vermue; Volker Tresp (WI/IAT, 2020)

Quantum Machine Learning Algorithm for Knowledge Graphs. - Yunpu Ma; Yuyi Wang 001; Volker Tresp (CoRR, 2020)

Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs. - Marcel Hildebrandt; Jorge Andres Quintero Serna; Yunpu Ma; Martin Ringsquandl; Mitchell Joblin; Volker Tresp (CoRR, 2020)

The Tensor Brain: Semantic Decoding for Perception and Memory. - Volker Tresp; Sahand Sharifzadeh; Dario Konopatzki; Yunpu Ma (CoRR, 2020)

Mutual Information-based State-Control for Intrinsically Motivated Reinforcement Learning. - Rui Zhao 011; Volker Tresp; Wei Xu (CoRR, 2020)

Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank. - Max Berrendorf; Evgeniy Faerman; Laurent Vermue; Volker Tresp (CoRR, 2020)

Causal Inference under Networked Interference. - Yunpu Ma; Yuyi Wang 001; Volker Tresp (CoRR, 2020)

Graph Hawkes Network for Reasoning on Temporal Knowledge Graphs. - Zhen Han 003; Yuyi Wang 001; Yunpu Ma; Stephan Günnemann; Volker Tresp (CoRR, 2020)

Relation Transformer Network. - Rajat Koner; Poulami Sinhamahapatra; Volker Tresp (CoRR, 2020)

Scene Graph Reasoning for Visual Question Answering. - Marcel Hildebrandt; Hang Li 010; Rajat Koner; Volker Tresp; Stephan Günnemann (CoRR, 2020)

Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing. - Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Martin Ringsquandl; Volker Tresp (CoRR, 2020)

Interpretable Graph Capsule Networks for Object Recognition. - Jindong Gu; Volker Tresp (CoRR, 2020)

xERTE: Explainable Reasoning on Temporal Knowledge Graphs for Forecasting Future Links. - Zhen Han 003; Peng Chen; Yunpu Ma; Volker Tresp (CoRR, 2020)

Relational and Fine-Grained Argument Mining. - Dietrich Trautmann; Michael Fromm 001; Volker Tresp; Thomas Seidl 001; Hinrich Schütze (Datenbank-Spektrum, 2020)

Representation Learning for the Semantic Web. - Heiko Paulheim; Volker Tresp; Zhiyuan Liu 001 (J. Web Semant., 2020)

Few-Shot One-Class Classification via Meta-Learning. - Ahmed Frikha 002; Denis Krompaß; Hans-Georg Köpken; Volker Tresp (AAAI, 2021)

Classification by Attention: Scene Graph Classification with Prior Knowledge. - Sahand Sharifzadeh; Sina Moayed Baharlou; Volker Tresp (AAAI, 2021)

Description-based Label Attention Classifier for Explainable ICD-9 Classification. - Malte Feucht; Zhiliang Wu; Sophia Althammer; Volker Tresp (W-NUT, 2021)

Causal Inference under Networked Interference and Intervention Policy Enhancement. - Yunpu Ma; Volker Tresp (AISTATS, 2021)

OODformer: Out-Of-Distribution Detection Transformer. - Rajat Koner; Poulami Sinhamahapatra; Karsten Roscher; Stephan Günnemann; Volker Tresp (BMVC, 2021)

Capsule Network Is Not More Robust Than Convolutional Network. - Jindong Gu; Volker Tresp; Han Hu 001 (CVPR, 2021)

Generating Table Vector Representations. - Aneta Koleva; Martin Ringsquandl; Mitchell Joblin; Volker Tresp (DL4KG@ISWC, 2021)

Active Learning for Entity Alignment. - Max Berrendorf; Evgeniy Faerman; Volker Tresp (ECIR (1), 2021)

Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs. - Zhen Han 003; Zifeng Ding; Yunpu Ma; Yujia Gu; Volker Tresp (EMNLP (1), 2021)

Time-dependent Entity Embedding is not All You Need: A Re-evaluation of Temporal Knowledge Graph Completion Models under a Unified Framework. - Zhen Han 003; Gengyuan Zhang; Yunpu Ma; Volker Tresp (EMNLP (1), 2021)

Neural Multi-hop Reasoning with Logical Rules on Biomedical Knowledge Graphs. - Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Martin Ringsquandl; Rime Raissouni; Volker Tresp (ESWC, 2021)

Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning. - Zhiliang Wu; Yinchong Yang; Jindong Gu; Volker Tresp (ICHI, 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 003; Peng Chen; Yunpu Ma; Volker Tresp (ICLR, 2021)

Mutual Information State Intrinsic Control. - Rui Zhao 011; Yang Gao 029; Pieter Abbeel; Volker Tresp; Wei Xu (ICLR, 2021)

Semantics for Global and Local Interpretation of Deep Convolutional Neural Networks. - Jindong Gu; Rui Zhao 011; Volker Tresp (IJCNN, 2021)

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models. - Zhiliang Wu; Yinchong Yang; Peter A. Fasching; Volker Tresp (MLHC, 2021)

Improving Inductive Link Prediction Using Hyper-relational Facts. - Mehdi Ali; Max Berrendorf; Mikhail Galkin 001; Veronika Thost; Tengfei Ma 001; Volker Tresp; Jens Lehmann 001 (ISWC, 2021)

Graphhopper: Multi-hop Scene Graph Reasoning for Visual Question Answering. - Rajat Koner; Hang Li 010; Marcel Hildebrandt; Deepan Das; Volker Tresp; Stephan Günnemann (ISWC, 2021)

NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification. - Julian Busch; Anton Kocheturov; Volker Tresp; Thomas Seidl 001 (SSDBM, 2021)

Temporal Knowledge Graph Forecasting with Neural ODE. - Zifeng Ding; Zhen Han 003; Yunpu Ma; Volker Tresp (CoRR, 2021)

Improving Visual Reasoning by Exploiting The Knowledge in Texts. - Sahand Sharifzadeh; Sina Moayed Baharlou; Martin Schmitt; Hinrich Schütze; Volker Tresp (CoRR, 2021)

Scenes and Surroundings: Scene Graph Generation using Relation Transformer. - Rajat Koner; Poulami Sinhamahapatra; Volker Tresp (CoRR, 2021)

COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. - Ahmed Frikha 002; Denis Krompaß; Volker Tresp (CoRR, 2021)

Adversarial Examples on Segmentation Models Can be Easy to Transfer. - Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip H. S. Torr (CoRR, 2021)

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Zifeng Ding; Yunpu Ma; Bailan He; Volker Tresp (CoRR, 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 001 (J. Mach. Learn. Res., 2021)

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs. - Yushan Liu 002; Yunpu Ma; Marcel Hildebrandt; Mitchell Joblin; Volker Tresp (AAAI, 2022)

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

TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion. - Guirong Fu; Zhao Meng; Zhen Han 003; Zifeng Ding; Yunpu Ma; Matthias Schubert; Volker Tresp; Roger Wattenhofer (SPNLP@ACL, 2022)

Towards Data-Free Domain Generalization. - Ahmed Frikha 002; Haokun Chen; Denis Krompaß; Thomas A. Runkler; Volker Tresp (ACML, 2022)

Few-Shot Inductive Learning on Temporal Knowledge Graphs using Concept-Aware Information. - Zifeng Ding; Jingpei Wu; Bailan He; Yunpu Ma; Zhen Han 003; Volker Tresp (AKBC, 2022)

Biologically Inspired Neural Path Finding. - Hang Li 010; Qadeer Khan; Volker Tresp; Daniel Cremers (BI, 2022)

Are Vision Transformers Robust to Patch Perturbations? - Jindong Gu; Volker Tresp; Yao Qin 001 (ECCV (12), 2022)

SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness. - Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip H. S. Torr (ECCV (29), 2022)

Relationformer: A Unified Framework for Image-to-Graph Generation. - Suprosanna Shit; Rajat Koner; Bastian Wittmann; Johannes C. Paetzold; Ivan Ezhov; Hongwei Li 004; Jiazhen Pan; Sahand Sharifzadeh; Georgios Kaissis; Volker Tresp; Bjoern H. Menze (ECCV (37), 2022)

Named Entity Recognition in Industrial Tables using Tabular Language Models. - Aneta Koleva; Martin Ringsquandl; Mark Buckley; Rakebul Hasan; Volker Tresp (EMNLP (Industry Track), 2022)

Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. - Ahmed Frikha 002; Denis Krompaß; Volker Tresp (ICPR, 2022)

Improving Inductive Link Prediction Using Hyper-Relational Facts (Extended Abstract). - Mehdi Ali; Max Berrendorf; Mikhail Galkin 001; Veronika Thost; Tengfei Ma 001; Volker Tresp; Jens Lehmann 001 (IJCAI, 2022)

On Calibration of Graph Neural Networks for Node Classification. - Tong Liu 019; Yushan Liu 002; Marcel Hildebrandt; Mitchell Joblin; Hang Li 010; Volker Tresp (IJCNN, 2022)

A Unified Framework for Rank-based Evaluation Metrics for Link Prediction in Knowledge Graphs. - Charles Tapley Hoyt; Max Berrendorf; Mikhail Galkin 001; Volker Tresp; Benjamin M. Gyori (CoRR, 2022)

Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations. - Zhen Han 003; Ruotong Liao; Beiyan Liu; Yao Zhang; Zifeng Ding; Heinz Köppl; Hinrich Schütze; Volker Tresp (CoRR, 2022)

Learning Meta Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. - Zifeng Ding; Bailan He; Yunpu Ma; Zhen Han 003; Volker Tresp (CoRR, 2022)

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. - Haokun Chen; Ahmed Frikha 002; Denis Krompass; Volker Tresp (CoRR, 2022)

Continuous Temporal Graph Networks for Event-Based Graph Data. - Jin Guo; Zhen Han 003; Zhou Su; Jiliang Li; Volker Tresp; Yuyi Wang 001 (CoRR, 2022)

Forecasting Question Answering over Temporal Knowledge Graphs. - Zifeng Ding; Ruoxia Qi; Zongyue Li; Bailan He; Jingpei Wu; Yunpu Ma; Zhao Meng; Zhen Han 003; Volker Tresp (CoRR, 2022)

CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. - Yao Zhang; Haokun Chen; Ahmed Frikha 002; Yezi Yang; Denis Krompass; Gengyuan Zhang; Jindong Gu; Volker Tresp (CoRR, 2022)

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework. - Mehdi Ali; Max Berrendorf; Charles Tapley Hoyt; Laurent Vermue; Mikhail Galkin 001; Sahand Sharifzadeh; Asja Fischer; Volker Tresp; Jens Lehmann 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

InstanceFormer: An Online Video Instance Segmentation Framework. - Rajat Koner; Tanveer Hannan; Suprosanna Shit; Sahand Sharifzadeh; Matthias Schubert; Thomas Seidl 001; Volker Tresp (AAAI, 2023)

ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations. - Zhen Han 003; Ruotong Liao; Jindong Gu; Yao Zhang; Zifeng Ding; Yujia Gu; Heinz Koeppl; Hinrich Schütze; Volker Tresp (ACL (Findings), 2023)

A Knowledge Graph Perspective on Supply Chain Resilience. - Yushan Liu 002; Bailan He; Marcel Hildebrandt; Maximilian Buchner; Daniela Inzko; Roger Wernert; Emanuel Weigel; Dagmar Beyer; Martin Berbalk; Volker Tresp (D2R2, 2023)

QNEAT: Natural Evolution of Variational Quantum Circuit Architecture. - Alessandro Giovagnoli; Volker Tresp; Yunpu Ma; Matthias Schubert (GECCO Companion, 2023)

Does Your Model Think Like an Engineer? Explainable AI for Bearing Fault Detection with Deep Learning. - Thomas Decker 004; Michael Lebacher; Volker Tresp (ICASSP, 2023)

Do DALL-E and Flamingo Understand Each Other? - Hang Li 010; 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 002; Denis Krompass; Jindong Gu; Volker Tresp (ICCV, 2023)

Multi-event Video-Text Retrieval. - Gengyuan Zhang; Jisen Ren; Jindong Gu; Volker Tresp (ICCV, 2023)

Learning Meta-Representations of One-shot Relations for Temporal Knowledge Graph Link Prediction. - Zifeng Ding; Bailan He; Jingpei Wu; Yunpu Ma; Zhen Han 003; Volker Tresp (IJCNN, 2023)

Adaptive Multi-Resolution Attention with Linear Complexity. - Yao Zhang; Yunpu Ma; Thomas Seidl 001; Volker Tresp (IJCNN, 2023)

Explaining Deep Neural Networks for Bearing Fault Detection with Vibration Concepts. - Thomas Decker 004; Michael Lebacher; Volker Tresp (INDIN, 2023)

A Simple But Powerful Graph Encoder for Temporal Knowledge Graph Completion. - Zifeng Ding; Yunpu Ma; Bailan He; Jingpei Wu; Zhen Han 003; Volker Tresp (IntelliSys (3), 2023)

Benchmarking Robustness of Adaptation Methods on Pre-trained Vision-Language Models. - Shuo Chen 014; Jindong Gu; Zhen Han 003; Yunpu Ma; Philip H. S. Torr; Volker Tresp (NeurIPS, 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 (ECML/PKDD (3), 2023)

Differentiable Quantum Architecture Search for Quantum Reinforcement Learning. - Yize Sun; Yunpu Ma; Volker Tresp (QCE, 2023)

Workshop Summary: Quantum Machine Learning. - Volker Tresp; Steffen Udluft; Daniel Hein 001; Werner Hauptmann; Martin Leib; Christopher Mutschler; Daniel D. Scherer; Wolfgang Mauerer (QCE, 2023)

ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs. - Zifeng Ding; Zongyue Li; Ruoxia Qi; Jingpei Wu; Bailan He; Yunpu Ma; Zhao Meng; Shuo Chen 014; Ruotong Liao; Zhen Han 003; Volker Tresp (ISWC, 2023)

Adversarial Attacks on Tables with Entity Swap. - Aneta Koleva; Martin Ringsquandl; Volker Tresp (VLDB Workshops, 2023)

Modeling the evolution of temporal knowledge graphs with uncertainty. - Soeren Nolting; Zhen Han 003; Volker Tresp (CoRR, 2023)

GRAtt-VIS: Gated Residual Attention for Auto Rectifying Video Instance Segmentation. - Tanveer Hannan; Rajat Koner; Maximilian Bernhard; Suprosanna Shit; Bjoern H. Menze; Volker Tresp; Matthias Schubert; Thomas Seidl 001 (CoRR, 2023)

Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge. - Zifeng Ding; Jingcheng Wu; Jingpei Wu; Yan Xia 003; Volker Tresp (CoRR, 2023)

A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models. - Jindong Gu; Zhen Han 003; Shuo Chen 014; Ahmad Beirami; Bailan He; Gengyuan Zhang; Ruotong Liao; Yao Qin 001; Volker Tresp; Philip H. S. Torr (CoRR, 2023)

GenTKG: Generative Forecasting on Temporal Knowledge Graph. - Ruotong Liao; Xu Jia 012; Yunpu Ma; Volker Tresp (CoRR, 2023)

GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models. - Yuanchun Shen; Ruotong Liao; Zhen Han 003; Yunpu Ma; Volker Tresp (CoRR, 2023)

Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. - Zifeng Ding; Heling Cai; Jingpei Wu; Yunpu Ma; Ruotong Liao; Bo Xiong; Volker Tresp (CoRR, 2023)

SPOT! Revisiting Video-Language Models for Event Understanding. - Gengyuan Zhang; Jinhe Bi; Jindong Gu; Volker Tresp (CoRR, 2023)

Understanding and Improving In-Context Learning on Vision-language Models. - Shuo Chen 014; Zhen Han 003; Bailan He; Mark Buckley; Philip H. S. Torr; Volker Tresp; Jindong Gu (CoRR, 2023)

The Tensor Brain: A Unified Theory of Perception, Memory, and Semantic Decoding. - Volker Tresp; Sahand Sharifzadeh; Hang Li 010; Dario Konopatzki; Yunpu Ma (Neural Comput., 2023)

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

Self-Discovering Interpretable Diffusion Latent Directions for Responsible Text-to-Image Generation. - Hang Li 010; Chengzhi Shen; Philip Torr 001; Volker Tresp; Jindong Gu (CVPR, 2024)

An Automated Evaluation Framework for Graph Database Query Generation Leveraging Large Language Models. - Bailan He; Yushan Liu 002; Marcel Hildebrandt; Zifeng Ding; Yaomengxi Han; Volker Tresp (D2R2, 2024)

LookupViT: Compressing Visual Information to a Limited Number of Tokens. - Rajat Koner; Gagan Jain; Prateek Jain 002; Volker Tresp; Sujoy Paul (ECCV (86), 2024)

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs. - Zifeng Ding; Jingcheng Wu; Jingpei Wu; Yan Xia 003; Bo Xiong; Volker Tresp (EMNLP (Findings), 2024)

VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs. - Ruotong Liao; Max Erler; Huiyu Wang; Guangyao Zhai; Gengyuan Zhang; Yunpu Ma; Volker Tresp (EMNLP (Findings), 2024)

Visual Question Decomposition on Multimodal Large Language Models. - Haowei Zhang 002; Jianzhe Liu; Zhen Han 003; Shuo Chen 014; Bailan He; Volker Tresp; Zhiqiang Xu; Jindong Gu (EMNLP (Findings), 2024)

Why long model-based rollouts are no reason for bad Q-value estimates. - Philipp Wissmann; Daniel Hein 001; Steffen Udluft; Volker Tresp (ESANN, 2024)

Critical Path Identification in Supply Chain Knowledge Graphs with Large Language Models. - Yaomengxi Han; Zifeng Ding; Yushan Liu 002; Bailan He; Volker Tresp (ESWC Satellite Events (1), 2024)

Differentiable Quantum Architecture Search For Job Shop Scheduling Problem. - Yize Sun; Jiarui Liu; Yunpu Ma; Volker Tresp (ICASSP, 2024)

Provably Better Explanations with Optimized Aggregation of Feature Attributions. - Thomas Decker 004; Ananta R. Bhattarai; Jindong Gu; Volker Tresp; Florian Buettner 001 (ICML, 2024)

GRAtt-VIS: Gated Residual Attention for Video Instance Segmentation. - Tanveer Hannan; Rajat Koner; Maximilian Bernhard; Suprosanna Shit; Bjoern H. Menze; Volker Tresp; Matthias Schubert; Thomas Seidl 001 (ICPR (16), 2024)

Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance. - Thomas Decker 004; Alexander Koebler; Michael Lebacher; Ingo Thon; Volker Tresp; Florian Buettner 001 (KDD, 2024)

zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models. - Zifeng Ding; Heling Cai; Jingpei Wu; Yunpu Ma; Ruotong Liao; Bo Xiong; Volker Tresp (NAACL-HLT, 2024)

GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models. - Ruotong Liao; Xu Jia 012; Yangzhe Li; Yunpu Ma; Volker Tresp (NAACL-HLT (Findings), 2024)

What's Outside the Intersection? Fine-grained Error Analysis for Semantic Segmentation Beyond IoU. - Maximilian Bernhard; Roberto Amoroso; Yannic Kindermann; Lorenzo Baraldi 001; Rita Cucchiara; Volker Tresp; Matthias Schubert (WACV, 2024)

Enhancing Multimodal Compositional Reasoning of Visual Language Models with Generative Negative Mining. - Ugur Sahin; Hang Li 010; Qadeer Khan; Daniel Cremers; Volker Tresp (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)

Quantum Architecture Search with Unsupervised Representation Learning. - Yize Sun; Zixin Wu; Yunpu Ma; Volker Tresp (CoRR, 2024)

Stop Reasoning! When Multimodal LLMs with Chain-of-Thought Reasoning Meets Adversarial Images. - Zefeng Wang; Zhen Han 003; Shuo Chen 014; Fan Xue; Zifeng Ding; Xun Xiao; Volker Tresp; Philip Torr 001; Jindong Gu (CoRR, 2024)

Wiki-TabNER: Advancing Table Interpretation Through Named Entity Recognition. - Aneta Koleva; Martin Ringsquandl; Ahmed Hatem; Thomas A. Runkler; Volker Tresp (CoRR, 2024)

Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks? - Shuo Chen 014; Zhen Han 003; Bailan He; Zifeng Ding; Wenqian Yu; Philip Torr 001; Volker Tresp; Jindong Gu (CoRR, 2024)

Localizing Events in Videos with Multimodal Queries. - Gengyuan Zhang; Mang Ling Ada Fok; Yan Xia 003; Yansong Tang; Daniel Cremers; Philip Torr 001; Volker Tresp; Jindong Gu (CoRR, 2024)

How the (Tensor-) Brain uses Embeddings and Embodiment to Encode Senses and Decode Symbols. - Volker Tresp; Hang Li 010 (CoRR, 2024)

Multimodal Pragmatic Jailbreak on Text-to-image Models. - Tong Liu 019; Zhixin Lai; Gengyuan Zhang; Philip Torr 001; Vera Demberg; Volker Tresp; Jindong Gu (CoRR, 2024)

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. - Haokun Chen; Hang Li 010; Yao Zhang; Gengyuan Zhang; Jinhe Bi; Philip Torr 001; Jindong Gu; Denis Krompass; Volker Tresp (CoRR, 2024)

PERFT: Parameter-Efficient Routed Fine-Tuning for Mixture-of-Expert Model. - Yilun Liu; Yunpu Ma; Shuo Chen 014; Zifeng Ding; Bailan He; Zhen Han 003; Volker Tresp (CoRR, 2024)

Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. - Jinhe Bi; Yujun Wang; Haokun Chen; Xun Xiao; Artur Hecker; Volker Tresp; Yunpu Ma (CoRR, 2024)

Perceive, Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. - Roberto Amoroso; Gengyuan Zhang; Rajat Koner; Lorenzo Baraldi 001; Rita Cucchiara; Volker Tresp (CoRR, 2024)

FedPop: Federated Population-based Hyperparameter Tuning. - Haokun Chen; Denis Krompaß; Jindong Gu; 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 003; Yu Wu; Volker Tresp (AAAI, 2025)

Multimodal Pragmatic Jailbreak on Text-to-image Models. - Tong Liu 019; Zhixin Lai; Jiawen Wang; Gengyuan Zhang; Shuo Chen 014; Philip Torr 001; Vera Demberg; Volker Tresp; Jindong Gu (ACL (1), 2025)

LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering. - Jinhe Bi; Yujun Wang; Haokun Chen; Xun Xiao; Artur Hecker; Volker Tresp; Yunpu Ma (ACL (1), 2025)

Incremental Uncertainty-aware Performance Monitoring with Active Labeling Intervention. - Alexander Koebler; Thomas Decker 004; Ingo Thon; Volker Tresp; Florian Buettner 001 (AISTATS, 2025)

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. - Haokun Chen; Hang Li 010; Yao Zhang; Jinhe Bi; Gengyuan Zhang; Yueqi Zhang; Philip Torr 001; Jindong Gu; Denis Krompass; Volker Tresp (CVPR, 2025)

Localizing Events in Videos with Multimodal Queries. - Gengyuan Zhang; Mang Ling Ada Fok; Jialu Ma; Yan Xia 003; Daniel Cremers; Philip Torr 001; Volker Tresp; Jindong Gu (CVPR, 2025)

Wiki-TabNER: Integrating Named Entity Recognition into Wikipedia Tables. - Aneta Koleva; Martin Ringsquandl; Ahmed Hatem; Thomas A. Runkler; Volker Tresp (SIGIR, 2025)

Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning? - Shuo Chen 014; Zhen Han 003; Bailan He; Jianzhe Liu; Mark Buckley; Yao Qin 001; Philip Torr 001; Volker Tresp; Jindong Gu (WACV, 2025)

Perceive. Query & Reason: Enhancing Video QA with Question-Guided Temporal Queries. - Roberto Amoroso; Gengyuan Zhang; Rajat Koner; Lorenzo Baraldi 002; Rita Cucchiara; Volker Tresp (WACV, 2025)

CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. - Yao Zhang; Haokun Chen; Ahmed Frikha 002; Denis Krompass; Gengyuan Zhang; Jindong Gu; Volker Tresp (WACV, 2025)

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models. - Zifeng Ding; Yifeng Li; Yuan He 008; Antonio Norelli; Jingcheng Wu; Volker Tresp; Michael M. Bronstein; Yunpu Ma (Trans. Mach. Learn. Res., 2025)

FocalPO: Enhancing Preference Optimizing by Focusing on Correct Preference Rankings. - Tong Liu 019; Xiao Yu; Wenxuan Zhou; Jindong Gu; Volker Tresp (CoRR, 2025)

PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection. - Jinhe Bi; Yifan Wang 021; Danqi Yan; Xun Xiao; Artur Hecker; Volker Tresp; Yunpu Ma (CoRR, 2025)

Memory Helps, but Confabulation Misleads: Understanding Streaming Events in Videos with MLLMs. - Gengyuan Zhang; Mingcong Ding; Tong Liu 019; Yao Zhang; Volker Tresp (CoRR, 2025)

Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs. - Yuan He 008; Bailan He; Zifeng Ding; Alisia Maria Lupidi; Yuqicheng Zhu; Shuo Chen 014; Caiqi Zhang; Jiaoyan Chen 001; Yunpu Ma; Volker Tresp; Ian Horrocks 001 (CoRR, 2025)

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process. - Jinhe Bi; Danqi Yan; Yifan Wang 021; Wenke Huang; Haokun Chen; Guancheng Wan; Mang Ye; Xun Xiao; Hinrich Schütze; Volker Tresp; Yunpu Ma (CoRR, 2025)

Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs. - Haokun Chen; Yueqi Zhang; Yuan Bi; Yao Zhang; Tong Liu 019; Jinhe Bi; Jian Lan; Jindong Gu; Claudia Grosser; Denis Krompass; Nassir Navab; Volker Tresp (CoRR, 2025)

METok: Multi-Stage Event-based Token Compression for Efficient Long Video Understanding. - Mengyue Wang; Shuo Chen 014; Kristian Kersting; Volker Tresp; Yunpu Ma (CoRR, 2025)

Agentic Neural Networks: Self-Evolving Multi-Agent Systems via Textual Backpropagation. - Xiaowen Ma; Chenyang Lin; Yao Zhang; Volker Tresp; Yunpu Ma (CoRR, 2025)

FedNano: Toward Lightweight Federated Tuning for Pretrained Multimodal Large Language Models. - Yao Zhang; Hewei Gao; Haokun Chen; Weiguo Li; Yunpu Ma; Volker Tresp (CoRR, 2025)

SwarmAgentic: Towards Fully Automated Agentic System Generation via Swarm Intelligence. - Yao Zhang; Chenyang Lin; Shijie Tang; Haokun Chen; Shijie Zhou; Yunpu Ma; Volker Tresp (CoRR, 2025)

AViLA: Asynchronous Vision-Language Agent for Streaming Multimodal Data Interaction. - Gengyuan Zhang; Tanveer Hannan; Hermine Kleiner; Beste Aydemir; Xinyu Xie; Jian Lan; Thomas Seidl 001; Volker Tresp; Jindong Gu (CoRR, 2025)

Why Uncertainty Calibration Matters for Reliable Perturbation-based Explanations. - Thomas Decker 004; Volker Tresp; Florian Buettner 001 (CoRR, 2025)

True Multimodal In-Context Learning Needs Attention to the Visual Context. - Shuo Chen 014; Jianzhe Liu; Zhen Han 003; Yan Xia 003; Daniel Cremers; Philip Torr 001; Volker Tresp; Jindong Gu (CoRR, 2025)

Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules. - Yilun Liu; Yunpu Ma; Yuetian Lu; Shuo Chen 014; Zifeng Ding; Volker Tresp (CoRR, 2025)