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Unsupervised Novelty Detection in Pretrained Representation Space with Locally Adapted Likelihood Ratio
Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-7411-2177
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5076-5798
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9217-9997
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Department of Computer and Information Science, The Division of Statistics and Machine Learning. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-3749-5820
2024 (English)In: International Conference on Artificial Intelligence and Statistics 2024, Proceedings of Machine Learning Research, 2024Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2024.
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Computer Sciences Computer Vision and Robotics (Autonomous Systems) Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-203391OAI: oai:DiVA.org:liu-203391DiVA, id: diva2:1856978
Conference
The 27th International Conference on Artificial Intelligence and Statistics (AISTATS)
Available from: 2024-05-08 Created: 2024-05-08 Last updated: 2024-05-16

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Ahmadian, AmirhosseinDing, YifanEilertsen, GabrielLindsten, Fredrik
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The Division of Statistics and Machine LearningFaculty of Science & EngineeringMedia and Information TechnologyCenter for Medical Image Science and Visualization (CMIV)Automatic Control
Computer SciencesComputer Vision and Robotics (Autonomous Systems)Signal Processing

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