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Books and Theses
- 2015
[b1]Denis Krompaß:
Exploiting prior knowledge and latent variable representations for the statistical modeling and probabilistic querying of large knowledge graphs. Ludwig Maximilians University Munich, 2015
Journal Articles
- 2015
- [j2]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) - 2013
- [j1]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:
Homology-based inference sets the bar high for protein function prediction. BMC Bioinform. 14(S-3): S7 (2013)
Conference and Workshop Papers
- 2024
- [c15]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 - [c14]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:
Continuous Development and Safety Assurance Pipeline for ML-Based Systems in the Railway Domain. SAFECOMP (Workshops) 2024: 446-459 - 2023
- [c13]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 - 2022
- [c12]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. ACML 2022: 327-342 - [c11]Ahmed Frikha, Denis Krompaß, Volker Tresp:
Discovery of New Multi-Level Features for Domain Generalization via Knowledge Corruption. ICPR 2022: 1871-187 - 2021
- [c10]Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. AAAI 2021: 7448-7456 - 2020
- [c9]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. ICPR 2020: 10449-10456 - 2017
- [c8]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. ICML 2017: 3891-3900 - 2016
- [c7]Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass:
Predicting the co-evolution of event and Knowledge Graphs. FUSION 2016: 98-105 - [c6]Stephan Baier, Denis Krompass, Volker Tresp:
Learning representations for discrete sensor networks using tensor decompositions. MFI 2016: 84-89 - 2015
- [c5]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 - [c4]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. ISWC (1) 2015: 640-655 - 2014
- [c3]Denis Krompass, Maximilian Nickel, Volker Tresp:
Large-scale factorization of type-constrained multi-relational data. DSAA 2014: 18-24 - [c2]Denis Krompass, Xueyan Jiang, Maximilian Nickel, Volker Tresp:
Probabilistic Latent-Factor Database Models. LD4KD 2014 - [c1]Denis Krompaß, Maximilian Nickel, Volker Tresp:
Querying Factorized Probabilistic Triple Databases. ISWC (2) 2014: 114-129
Informal and Other Publications
- 2024
- [i14]Cheng Feng, Long Huang, Denis Krompass:
Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction. CoRR abs/2402.07570 (2024) - 2023
- [i13]Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp:
FedPop: Federated Population-based Hyperparameter Tuning. CoRR abs/2308.08634 (2023) - [i12]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) - 2022
- [i11]Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp:
FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR abs/2205.14900 (2022) - [i10]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) - 2021
- [i9]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) - [i8]Ahmed Frikha, Haokun Chen, Denis Krompaß, Thomas A. Runkler, Volker Tresp:
Towards Data-Free Domain Generalization. CoRR abs/2110.04545 (2021) - 2020
- [i7]Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. CoRR abs/2007.04146 (2020) - [i6]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. CoRR abs/2008.04042 (2020) - 2017
- [i5]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. CoRR abs/1707.01786 (2017) - 2015
- [i4]Denis Krompaß, Stephan Baier, Volker Tresp:
Type-Constrained Representation Learning in Knowledge Graphs. CoRR abs/1508.02593 (2015) - [i3]Volker Tresp, Cristóbal Esteban, Yinchong Yang, Stephan Baier, Denis Krompaß:
Learning with Memory Embeddings. CoRR abs/1511.07972 (2015) - [i2]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
- [i1]Volker Tresp, Denis Krompass:
Towards a New Science of a Clinical Data Intelligence. CoRR abs/1311.4180 (2013)
Coauthor Index
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