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Denis Krompass
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2020 – today
- 2024
- [c14]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 - [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
- [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 - [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
- [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 - [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
- [c10]Ahmed Frikha, Denis Krompaß, Hans-Georg Köpken, Volker Tresp:
Few-Shot One-Class Classification via Meta-Learning. AAAI 2021: 7448-7456 - [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
- [c9]Ahmed Frikha, Denis Krompaß, Volker Tresp:
ARCADe: A Rapid Continual Anomaly Detector. ICPR 2020: 10449-10456 - [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)
2010 – 2019
- 2017
- [c8]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. ICML 2017: 3891-3900 - [i5]Yinchong Yang, Denis Krompass, Volker Tresp:
Tensor-Train Recurrent Neural Networks for Video Classification. CoRR abs/1707.01786 (2017) - 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
- [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 - [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) - [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 - [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) - 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 - 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) - [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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last updated on 2024-08-05 21:22 CEST by the dblp team
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