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Most significant publications

  • Romuald A. Janik, Igor Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fąfrowicz, Neural spatio-temporal patterns of information processing related to cognitive conflict and correct or false recognitions, Scientific Reports 12 (2022), 5271
  • Szymon Knop, Marcin Mazur, Igor Podolak, Przemysław Spurek, Jacek Tabor, Generative models with kernel distance in data space, Neurocomputing 487 (2022), 119-129
  • Klaudia Bałazy, Igor Podolak, Marek Śmieja, Jacek Tabor, Tomasz Trzciński, Maciej Wołczyk, Bartosz Wójcik, Zero Time Waste: Recycling Predictions in Early Exit Neural Networks, Advances in Neural Information Processing Systems [NeurIPS](MAIN) 34 (2021), 1-13
  • Stanisław Jastrzębski, Szymon Knop, Marcin Mazur, Igor Podolak, Przemysław Spurek, Jacek Tabor, Cramer-Wold Auto-Encoder, Journal of Machine Learning Research 21 (2020), 1-28

Recent publications

  • Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski, Maciej Wołczyk, Klaudia Bałazy, Bartłomiej Krzepkowski, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński, Zero time waste in pre-trained early exit neural networks, Neural Networks 168 (2023), 580-601
  • Tomasz Danel, Jan Łęski, Sabina Podlewska, Igor Podolak, Docking-based generative approaches in the search for new drug candidates, Drug Discovery Today 28/2 (2023), 103439
  • Romuald A. Janik, Igor Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fąfrowicz, Neural spatio-temporal patterns of information processing related to cognitive conflict and correct or false recognitions, Scientific Reports 12 (2022), 5271
  • Jarosław Żygierewicz, Romuald A. Janik, Igor Podolak, Alan Drozd, Urszula Malinowska, Martyna Poziomska, Jakub Wojciechowski, Paweł Ogniewski, Paweł Niedbalski, Iwona Terczyńska, Jacek Rogala, Decoding working memory-related information from repeated psychophysiological EEG experiments using convolutional and contrastive neural networks, vol. 19,4 (2022), 046053
  • Szymon Knop, Przemysław Spurek, Marcin Mazur, Jacek Tabor, Igor Podolak, Batch size reconstruction-distribution trade-off in kernel based generative autoencoders, IEEE International Conference on Image Processing [ICIP], (2022), 3728-3732

Interests

ceramics, photography

avatar for Igor Podolak

Igor Podolak

academic degree/title Doctor of Science position
research and faculty staff member group, assistant professor
unit
  • Division of Machine Learning
  • Institute of Computer Science and Computational Mathematics
research group
  • Group of Machine Learning Research (GMUM)
ORCID contact
igor.podolak@uj.edu.pl