Markus Krimmel

According to our database, Markus Krimmel authored at least 11 papers between 2022 and 2026.

Collaborative distances:

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

2026

Diffusion-Pretrained Dense and Contextual Embeddings.

Sedigheh Eslami, Maksim Gaiduk, Markus Krimmel, Louis Milliken, Bo Wang, Denis Bykov

CoRR, February, 2026

Fast Graph Generation via Autoregressive Noisy Filtration Modeling.

Markus Krimmel, Jenna Wiens, Karsten M. Borgwardt, Dexiong Chen

Trans. Mach. Learn. Res., 2026

2025

PolyGraph Discrepancy: a classifier-based metric for graph generation.

Markus Krimmel, Philip Hartout, Karsten M. Borgwardt, Dexiong Chen

CoRR, October, 2025

Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling.

Markus Krimmel, Jenna Wiens, Karsten M. Borgwardt, Dexiong Chen

CoRR, February, 2025

Flatten Graphs as Sequences: Transformers are Scalable Graph Generators.

Dexiong Chen, Markus Krimmel, Karsten M. Borgwardt

CoRR, February, 2025

Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Mark Towers, Ariel Kwiatkowski, John U. Balis, Gianluca De Cola, Tristan Deleu, Manuel Goulão, Andreas Kallinteris, Markus Krimmel, Arjun KG, Rodrigo Perez-Vicente, J. K. Terry, Andrea Pierré, Sander Schulhoff, Jun Jet Tai, Hannah Tan, Omar G. Younis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Jina Embeddings V3: Multilingual Text Encoder with Low-Rank Adaptations.

Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, Michael Günther, Bo Wang, Markus Krimmel, Feng Wang, Georgios Mastrapas, Andreas Koukounas, Nan Wang, Han Xiao

Proceedings of the Advances in Information Retrieval, 2025

2024

Attention Normalization Impacts Cardinality Generalization in Slot Attention.

Markus Krimmel, Jan Achterhold, Joerg Stueckler

Trans. Mach. Learn. Res., 2024

jina-embeddings-v3: Multilingual Embeddings With Task LoRA.

Saba Sturua, Isabelle Mohr, Mohammad Kalim Akram, Michael Günther, Bo Wang, Markus Krimmel, Feng Wang, Georgios Mastrapas, Andreas Koukounas, Nan Wang, Han Xiao

CoRR, 2024

Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings.

Isabelle Mohr, Markus Krimmel, Saba Sturua, Mohammad Kalim Akram, Andreas Koukounas, Michael Günther, Georgios Mastrapas, Vinit Ravishankar, Joan Fontanals Martínez, Feng Wang, Qi Liu, Ziniu Yu, Jie Fu, Saahil Ognawala, Susana Guzman, Bo Wang, Maximilian Werk, Nan Wang, Han Xiao

CoRR, 2024

2022

Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning.

Jan Achterhold, Markus Krimmel, Joerg Stueckler

Proceedings of the Conference on Robot Learning, 2022