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Jesper Tegnr

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

10

Active years

2005–2026

Best venue rank

A*

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2026ICCSAAlgorithmic Complexity Underpins When Path Information Improves Graph Neural Networks Performance on Molecular Graphs.Abdulrahman Ibraheem, Narsis A. Kiani, Jesper Tegnr
2025ICLRInterpretable Causal Representation Learning for Biological Data in the Pathway Space.Jesus de la Fuente Cedeo, Robert Lehmann, Carlos Ruiz-Arenas, Jan Voges, Irene Marn-Goi, Xabier Martinez de Morentin, David Gomez-Cabrero, Idoia Ochoa, Jesper Tegnr, Vincenzo Lagani, Mikel Hernaez
2023EMNLPWhispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition.Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani, David Gomez-Cabrero, Jesper Tegnr
2022WACVNon-local Attention Improves Description Generation for Retinal Images.Jia-Hong Huang, Ting-Wei Wu, Chao-Han Huck Yang, Zenglin Shi, I-Hung Lin, Jesper Tegnr, Marcel Worring
2021WACVDeepOpht: Medical Report Generation for Retinal Images via Deep Models and Visual Explanation.Jia-Hong Huang, Chao-Han Huck Yang, Fangyu Liu, Meng Tian, Yi-Chieh Liu, Ting-Wei Wu, I-Hung Lin, Kang Wang, Hiromasa Morikawa, Hernghua Chang, Jesper Tegnr, Marcel Worring
2020ICASSPInterpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding.Yi-Chieh Liu, Yung-An Hsieh, Min-Hung Chen, Chao-Han Huck Yang, Jesper Tegnr, Yi-Chang James Tsai
2018ACCVSynthesizing New Retinal Symptom Images by Multiple Generative Models.Yi-Chieh Liu, Hao-Hsiang Yang, Chao-Han Huck Yang, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, Yi-Chang James Tsai, Jesper Tegnr
2018ACCVAuto-classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model.Chao-Han Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, I-Hung Lin, Yi-Chieh Liu, Hiromasa Morikawa, Hao-Hsiang Yang, Jesper Tegnr
2008GDNetworks in Biology - From Identification, Analysis to Interpretation.Jesper Tegnr
2006UAIIdentifying the Relevant Nodes Without Learning the Model.Jos M. Pea, Roland Nilsson, Johan Bjrkegren, Jesper Tegnr
2005ECCBGrowing Bayesian network models of gene networks from seed genes.Jos M. Pea, Johan Bjrkegren, Jesper Tegnr
2005ECSQARUScalable, Efficient and Correct Learning of Markov Boundaries Under the Faithfulness Assumption.Jos M. Pea, Johan Bjrkegren, Jesper Tegnr