Denis Krompass

22 papers A* 4A 2B 1C 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	CL-Cross VQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. WACV Yao Zhang, Haokun Chen, Ahmed Frikha, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2025	J	`jnl`	Does Machine Unlearning Truly Remove Model Knowledge? A Framework for Auditing Unlearning in LLMs. CoRR Haokun Chen, Yueqi Zhang, Yuan Bi, Yao Zhang, Tong Liu, Jinhe Bi, Jian Lan, Jindong Gu, Claudia Grosser, Denis Krompass, Nassir Navab, Volker Tresp
2025	A*	`conf`	FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. CVPR Haokun Chen, Hang Li, Yao Zhang, Jinhe Bi, Gengyuan Zhang, Yueqi Zhang, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
2024	—	`conf`	Continuous Development and Safety Assurance Pipeline for ML-Based Systems in the Railway Domain. SAFECOMP (Workshops) 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, Lucia Diez Robles
2024	J	`jnl`	FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models. CoRR Haokun Chen, Hang Li, Yao Zhang, Gengyuan Zhang, Jinhe Bi, Philip Torr, Jindong Gu, Denis Krompass, Volker Tresp
2024	A*	`conf`	FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. AAAI Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
2024	A	`conf`	General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting. CIKM Cheng Feng, Long Huang, Denis Krompass
2024	J	`jnl`	Only the Curve Shape Matters: Training Foundation Models for Zero-Shot Multivariate Time Series Forecasting through Next Curve Shape Prediction. CoRR Cheng Feng, Long Huang, Denis Krompass
2023	A*	`conf`	FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. ICCV Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp
2023	J	`jnl`	FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning. CoRR Haokun Chen, Yao Zhang, Denis Krompass, Jindong Gu, Volker Tresp
2023	J	`jnl`	FedPop: Federated Population-based Hyperparameter Tuning. CoRR Haokun Chen, Denis Krompass, Jindong Gu, Volker Tresp
2022	J	`jnl`	CL-CrossVQA: A Continual Learning Benchmark for Cross-Domain Visual Question Answering. CoRR Yao Zhang, Haokun Chen, Ahmed Frikha, Yezi Yang, Denis Krompass, Gengyuan Zhang, Jindong Gu, Volker Tresp
2022	J	`jnl`	FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. CoRR Haokun Chen, Ahmed Frikha, Denis Krompass, Volker Tresp
2017	A*	`conf`	Tensor-Train Recurrent Neural Networks for Video Classification. ICML Yinchong Yang, Denis Krompass, Volker Tresp
2017	J	`jnl`	Tensor-Train Recurrent Neural Networks for Video Classification. CoRR Yinchong Yang, Denis Krompass, Volker Tresp
2016	—	`conf`	Learning representations for discrete sensor networks using tensor decompositions. MFI Stephan Baier, Denis Krompass, Volker Tresp
2016	C	`conf`	Predicting the co-evolution of event and Knowledge Graphs. FUSION Cristóbal Esteban, Volker Tresp, Yinchong Yang, Stephan Baier, Denis Krompass
2015	—	`conf`	Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model. ICHI Cristóbal Esteban, Danilo Schmidt, Denis Krompass, Volker Tresp
2014	B	`conf`	Large-scale factorization of type-constrained multi-relational data. DSAA Denis Krompass, Maximilian Nickel, Volker Tresp
2014	—	`conf`	Probabilistic Latent-Factor Database Models. LD4KD Denis Krompass, Xueyan Jiang, Maximilian Nickel, Volker Tresp
2013	J	`jnl`	Homology-based inference sets the bar high for protein function prediction. BMC Bioinform. 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
2013	J	`jnl`	Towards a New Science of a Clinical Data Intelligence. CoRR Volker Tresp, Denis Krompass