Krimmel, M., Wiens, J., Borgwardt, K., & Chen, D. (2025). Towards Fast Graph Generation via Autoregressive Noisy Filtration Modeling. arXiv [Cs.LG]. Retrieved from http://arxiv.org/abs/2502.02415.
Krimmel, M., Achterhold, J., & Stueckler, J. (2024). Attention Normalization Impacts Cardinality Generalization in Slot Attention. In Transactions on Machine Learning Research (TMLR).
Mohr, I., Krimmel, M., Sturua, S., Akram, M. K., Koukounas, A., Günther, M., … Xiao, H. (2024). Multi-Task Contrastive Learning for 8192-Token Bilingual Text Embeddings. CoRR, abs/2402.17016. doi:10.48550/ARXIV.2402.17016
Achterhold, J., Krimmel, M., & Stueckler, J. (2022). Learning Temporally Extended Skills in Continuous Domains as Symbolic Actions for Planning. 6th Annual Conference on Robot Learning.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California