Denis Krompass

According to our database, Denis Krompass authored at least 27 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models.

Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp

CoRR, 2024

Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction.

Cheng Feng, Long Huang, Denis Krompass

CoRR, 2024

Continuous Development and Safety Assurance Pipeline for ML-Based Systems in the Railway Domain.

Marc Zeller, Thomas Waschulzik, Carmen Carlan, Marat Serahlazau, Claus Bahlmann, Zhiliang Wu, Sigurd Spieckermann, Denis Krompass, Simon Geerkens, Christian Sieberichs, Konstantin Kirchheim, Batu Kaan Özen, Lucia Diez Robles

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2024 Workshops, 2024

General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting.

Cheng Feng, Long Huang, Denis Krompass

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

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

Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

FedPop: Federated Population-based Hyperparameter Tuning.

Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp

CoRR, 2023

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

Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

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

Yao Zhang, Haokun Chen, Ahmed Frikha, 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, Denis Krompass, Volker Tresp

CoRR, 2022

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

Ahmed Frikha, Denis Krompaß, Volker Tresp

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Towards Data-Free Domain Generalization.

Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp

Proceedings of the Asian Conference on Machine Learning, 2022

2021

COLUMBUS: Automated Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption.

Ahmed Frikha, Denis Krompaß, Volker Tresp

CoRR, 2021

Few-Shot One-Class Classification via Meta-Learning.

Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

ARCADe: A Rapid Continual Anomaly Detector.

Ahmed Frikha, Denis Krompaß, Volker Tresp

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2017

Tensor-Train Recurrent Neural Networks for Video Classification.

Yinchong Yang, Denis Krompass, Volker Tresp

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Learning representations for discrete sensor networks using tensor decompositions.

Stephan Baier, Denis Krompass, Volker Tresp

Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Predicting the co-evolution of event and Knowledge Graphs.

Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Exploiting prior knowledge and latent variable representations for the statistical modeling and probabilistic querying of large knowledge graphs.

Denis Krompaß

PhD thesis, 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

Learning with Memory Embeddings.

Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß

CoRR, 2015

Type-Constrained Representation Learning in Knowledge Graphs.

Denis Krompaß, Stephan Baier, Volker Tresp

Proceedings of the Semantic Web - ISWC 2015, 2015

Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model.

Cristóbal Esteban, Danilo Schmidt, Denis Krompass, Volker Tresp

Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

2014

Querying Factorized Probabilistic Triple Databases.

Denis Krompaß, Maximilian Nickel, Volker Tresp

Proceedings of the Semantic Web - ISWC 2014, 2014

Probabilistic Latent-Factor Database Models.

Denis Krompass, Xueyan Jiang, Maximilian Nickel, Volker Tresp

Proceedings of the 1st Workshop on Linked Data for Knowledge Discovery co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2014), 2014

Large-scale factorization of type-constrained multi-relational data.

Denis Krompass, Maximilian Nickel, Volker Tresp

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2013

Towards a New Science of a Clinical Data Intelligence.

Volker Tresp, Denis Krompass

CoRR, 2013

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, Thomas A. Hopf, Stefanie Kaufmann, Michael Kiening, Denis Krompass, Cedric Landerer, Yannick Mahlich, Manfred Roos, Burkhard Rost

BMC Bioinform., 2013