Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. - Jan Achterhold; Markus Krimmel; Joerg Stueckler (CoRL, 2022)

Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings. - Isabelle Mohr; Markus Krimmel; Saba Sturua; Mohammad Kalim Akram; Andreas Koukounas; Michael Günther 002; Georgios Mastrapas; Vinit Ravishankar; Joan Fontanals Martínez; Feng Wang; Qi Liu 071; Ziniu Yu; et al. (CoRR, 2024)

Gymnasium: A Standard Interface for Reinforcement Learning Environments. - Mark Towers; Ariel Kwiatkowski; Jordan K. Terry; John U. Balis; Gianluca De Cola; Tristan Deleu; Manuel Goulão; Andreas Kallinteris; Markus Krimmel; Arjun KG; Rodrigo Perez-Vicente; Andrea Pierré; et al. (CoRR, 2024)

jina-embeddings-v3: Multilingual Embeddings With Task LoRA. - Saba Sturua; Isabelle Mohr; Mohammad Kalim Akram; Michael Günther 002; Bo Wang 096; Markus Krimmel; Feng Wang; Georgios Mastrapas; Andreas Koukounas; Nan Wang; Han Xiao (CoRR, 2024)

Attention Normalization Impacts Cardinality Generalization in Slot Attention. - Markus Krimmel; Jan Achterhold; Joerg Stueckler (Trans. Mach. Learn. Res., 2024)

Jina Embeddings V3: Multilingual Text Encoder with Low-Rank Adaptations. - Saba Sturua; Isabelle Mohr; Mohammad Kalim Akram; Michael Günther 002; Bo Wang 096; Markus Krimmel; Feng Wang; Georgios Mastrapas; Andreas Koukounas; Nan Wang; Han Xiao (ECIR (5), 2025)

Flatten Graphs as Sequences: Transformers are Scalable Graph Generators. - Dexiong Chen; Markus Krimmel; Karsten M. Borgwardt (CoRR, 2025)

Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling. - Markus Krimmel; Jenna Wiens; Karsten M. Borgwardt; Dexiong Chen (CoRR, 2025)