Homology-based inference sets the bar high for protein function prediction. - Tobias Hamp; Rebecca Kassner; Stefan Seemayer; Esmeralda Vicedo; Christian Schaefer; Dominik Achten; Florian Auer; Ariane Boehm; Tatjana Braun; Maximilian Hecht; Mark Heron; Peter Hönigschmid; et al. (BMC Bioinform., 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)

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)

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

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

Exploiting prior knowledge and latent variable representations for the statistical modeling and probabilistic querying of large knowledge graphs. - Denis Krompaß (2015)

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

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

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

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

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

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

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

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

FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. - Haokun Chen; Ahmed Frikha 002; Denis Krompass; 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)

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

General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting. - Cheng Feng 004; Long Huang; Denis Krompass (CIKM, 2024)

Continuous Development and Safety Assurance Pipeline for ML-Based Systems in the Railway Domain. - Marc Zeller; Thomas Waschulzik; Carmen Cârlan; Marat Serahlazau; Claus Bahlmann; Zhiliang Wu; Sigurd Spieckermann; Denis Krompass; Simon Geerkens; Christian Sieberichs; Konstantin Kirchheim; Batu Kaan Özen; et al. (SAFECOMP (Workshops), 2024)

Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction. - Cheng Feng 004; Long Huang; Denis Krompass (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)

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

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)

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)