Konstantin Hemker

13 papers A* 3A 1Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Towards Spatial Transcriptomics-driven Pathology Foundation Models. CoRR Konstantin Hemker, Andrew H. Song, Cristina Almagro-Pérez, Guillaume Jaume, Sophia J. Wagner, Anurag Vaidya, Nikola Simidjievski, Mateja Jamnik, Faisal Mahmood
2025	J	`jnl`	AI-driven 3D Spatial Transcriptomics. CoRR 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
2025	A*	`conf`	Measuring Cross-Modal Interactions in Multimodal Models. AAAI Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2025	A*	`conf`	Multimodal Lego: Model Merging and Fine-Tuning Across Topologies and Modalities in Biomedicine. ICLR Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2024	A*	`conf`	HEALNet: Multimodal Fusion for Heterogeneous Biomedical Data. NeurIPS Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	MM-Lego: Modular Biomedical Multimodal Models with Minimal Fine-Tuning. CoRR Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	Measuring Cross-Modal Interactions in Multimodal Models. CoRR Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2024	J	`jnl`	PATHS: A Hierarchical Transformer for Efficient Whole Slide Image Analysis. CoRR Zak Buzzard, Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2023	—	`conf`	CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs. TML4H Konstantin Hemker, Zohreh Shams, Mateja Jamnik
2023	J	`jnl`	CGXplain: Rule-Based Deep Neural Network Explanations Using Dual Linear Programs. CoRR Konstantin Hemker, Zohreh Shams, Mateja Jamnik
2023	J	`jnl`	HEALNet - Hybrid Multi-Modal Fusion for Heterogeneous Biomedical Data. CoRR Konstantin Hemker, Nikola Simidjievski, Mateja Jamnik
2021	J	`jnl`	Feature Synergy, Redundancy, and Independence in Global Model Explanations using SHAP Vector Decomposition. CoRR Jan Ittner, Lukasz Bolikowski, Konstantin Hemker, Ricardo Kennedy
2019	A	`conf`	Augment to Prevent: Short-Text Data Augmentation in Deep Learning for Hate-Speech Classification. CIKM Georgios Rizos, Konstantin Hemker, Björn W. Schuller