Konstantin Hemker

According to our database, Konstantin Hemker authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

Towards Spatial Transcriptomics-driven Pathology Foundation Models.

Konstantin Hemker, Andrew H. Song, Cristina Almagro-Pérez, Guillaume Jaume, Sophia J. Wagner, Anurag Vaidya, Nikola Simidjievski, Mateja Jamnik, Faisal Mahmood

CoRR, February, 2026

2025

AI-driven 3D Spatial Transcriptomics.

Cristina Almagro-Pérez, Andrew H. Song, Luca L. Weishaupt, Ahrong Kim, Guillaume Jaume, Drew F. K. Williamson, Konstantin Hemker, Ming Y. Lu, Kritika Singh, Bowen Chen, Long Phi Le, Alexander S. Baras, Sizun Jiang, Ali Bashashati, Jonathan T. C. Liu, Faisal Mahmood

CoRR, February, 2025

Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine.

Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Measuring Cross-Modal Interactions in Multimodal Models.

Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis.

Zak Buzzard, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

CoRR, 2024

MM-Lego: Modular Biomedical Multimodal Models with Minimal Fine-Tuning.

Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

CoRR, 2024

HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data.

Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

HEALNet - Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data.

Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik

CoRR, 2023

CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs.

Konstantin Hemker, Zohreh Shams, Mateja Jamnik

Proceedings of the Trustworthy Machine Learning for Healthcare, 2023

2021

Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition.

Jan Ittner, Lukasz Bolikowski, Konstantin Hemker, Ricardo Kennedy

CoRR, 2021

2019

Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification.

Georgios Rizos, Konstantin Hemker, Björn W. Schuller

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019