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Recent publications

  • Przemysław Spurek, Marcin Sendera, Marcin Przewięźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor, The general framework for few-shot learning by kernel HyperNetworks, Machine Vision and Applications 34 (2023), 53
  • Przemysław Spurek, Jacek Tabor, Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Zięba Maciej, Hypershot: Few-shot learning by kernel hypernetworks, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 2469--2478
  • Łukasz Maziarka, Marek Śmieja, Marcin Sendera, Łukasz Struski, Jacek Tabor, Przemysław Spurek, OneFlow: One-class flow for anomaly detection based on a minimal volume region, IEEE Transactions on Pattern Analysis and Machine Intelligence 44/11 (2022), 8508-8519
  • Marcin Sendera, Przemysław Spurek, Łukasz Struski, Missing Glow Phenomenon: learning disentangled representation of missing data, International Conference on Neural Information Processing [ICONIP] vol 1516 (2021), 196-204
  • Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Przemysław Spurek, Tomasz Trzciński, Zięba Maciej, Non-Gaussian Gaussian Processes for Few-Shot Regression, Advances in Neural Information Processing Systems [NeurIPS](MAIN) 34 (2021), 10285-10298
avatar for Marcin Sendera

Marcin Sendera

academic degree/title Master of Science (MSc) status
PhD student of computer science
research group
  • Group of Machine Learning Research (GMUM)
contact
marcin.sendera@doctoral.uj.edu.pl