Tegnér, Jesper

13 publications

ICLR 2025 Interpretable Causal Representation Learning for Biological Data in the Pathway Space Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas, Jan Voges, Irene Marín-Goñi, Xabier Martinez de Morentin, David Gomez-Cabrero, Idoia Ochoa, Jesper Tegnér, Vincenzo Lagani, Mikel Hernaez

ICLRW 2025 SPELL: Spatial Prompting with Chain-of-Thought for Zero-Shot Learning in Spatial Transcriptomics Sumeer Ahmad Khan, Xabier Martinez de Morentin, Vincenzo Lagani, Robert Lehmann, Abdel Rahman Alsabbagh, Mahmoud Zahran, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér

ICLRW 2025 stDiffusion: A Diffusion Based Model for Generative Spatial Transcriptomics Sumeer Ahmad Khan, Xabier Martínez de Morentin, Vincenzo Lagani, Robert Lehmann, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnér

NeurIPSW 2024 Interpretable Causal Representation Learning for Biological Data in the Pathway Space Jesus de la Fuente Cedeño, Robert Lehmann, Carlos Ruiz-Arenas, Irene Marín-Goñi, Jan Voges, Xabier Martinez de Morentin, David Gomez-Cabrero, Idoia Ochoa, Jesper Tegnér, Vincenzo Lagani, Mikel Hernaez

ICLRW 2023 LEP-AD: Language Embeddings of Proteins and Attention to Drugs Predicts Drug Target Interactions Anuj Daga, Sumeer Ahmad Khan, David Gomez Cabrero, Robert Hoehndorf, Narsis A. Kiani, Jesper Tegnér

WACV 2022 Non-Local Attention Improves Description Generation for Retinal Images Jia-Hong Huang, Ting-Wei Wu, C.-H. Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegner, Marcel Worring

WACV 2021 DeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation Jia-Hong Huang, C.-H. Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegner, Marcel Worring

ICCVW 2021 VLG-Net: Video-Language Graph Matching Network for Video Grounding Mattia Soldan, Mengmeng Xu, Sally Sisi Qu, Jesper Tegnér, Bernard Ghanem

JMLR 2009 An Algorithm for Reading Dependencies from the Minimal Undirected Independence mAP of a Graphoid That Satisfies Weak Transitivity Jose M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér

JMLR 2007 Consistent Feature Selection for Pattern Recognition in Polynomial Time Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér

ECML-PKDD 2006 Evaluating Feature Selection for SVMs in High Dimensions Roland Nilsson, José M. Peña, Johan Björkegren, Jesper Tegnér

UAI 2006 Identifying the Relevant Nodes Without Learning the Model José M. Peña, Roland Nilsson, Johan Björkegren, Jesper Tegnér

NeurIPS 2001 Why Neuronal Dynamics Should Control Synaptic Learning Rules Jesper Tegnér, Ádám Kepecs