Researcher Portfolio
Schüler, Darijan
Abt. IV: Chemische Biologie, Max Planck Institute of Molecular Physiology, Max Planck Society, Dept. Weil: Synthesis of Macromolecules, MPI for Polymer Research, Max Planck Society
Researcher Profile
Position: Abt. IV: Chemische Biologie, Max Planck Institute of Molecular Physiology, Max Planck Society
Position: Dept. Weil: Synthesis of Macromolecules, MPI for Polymer Research, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons226556
Publications
: Li, Y., Chen, D., Tang, T., & Shen, X. (2025). HTR-VT: Handwritten text recognition with vision transformer. Pattern Recognition, 158: 110967. doi:10.1016/j.patcog.2024.110967. [PubMan] : Chen, D., Schulz, T., & Borgwardt, K. (2025). Learning Long Range Dependencies on Graphs via Random Walks. 13th International Conference on Learning Representations (ICLR 2025) (accepted). [PubMan] : Pellizzoni, P., Schulz, T., Chen, D., & Borgwardt, K. (2025). Graph Neural Networks Can (Often) Count Substructures. 13th International Conference on Learning Representations (ICLR 2025) (accepted). [PubMan] : Corvelo Benz, N., Miranda, L., Chen, D., Sattler, J., & Borgwardt, K. (2025). Antimicrobial drug recommendation from MALDI-TOF mass spectrometry with statistical guarantees using conformal prediction. 29th Annual International Conference on Research in Computational Molecular Biology (RECOMB 2025) (accepted). [PubMan] : Adamer, M. F., Brüningk, S. C., Chen, D., & Borgwardt, K. (2024). Biomarker identification by interpretable maximum mean discrepancy. Bioinformatics, 40(Suppl. 1), i501-i510. doi:10.1093/bioinformatics/btae251. [PubMan] : Chen, D., Hartout, P., Pellizzoni, P., Oliver, C., & Borgwardt, K. (2024). Endowing protein language models with structural knowledge. arXiv: Condensed Matter-Materials Science. doi:10.48550/arXiv.2401.14819. [PubMan] : Li, Y., Chen, Y., Yu, X., Chen, D., & Shen, X. (2024). SURE: SUrvey REcipes for building reliable and robust deep networks. In 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (pp. 17500-17510). [PubMan] : Pellizzoni, P., Schulz, T., Chen, D., & Borgwardt, K. M. (2024). On the expressivity and sample complexity of node-individualized graph neural networks. Conference on Neural Information Processing Systems (NeurIPS 2024). [PubMan] : Kucera, T., Oliver, C., Chen, D., & Borgwardt, K. (2023). ProteinShake Building datasets and benchmarks for deep learning on protein structures. Advances in Neural Information Processing Systems 36 (NeurIPS 2023). [PubMan]