TFML 2019
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Papers
This page contains list of most of our published papers.
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2018
D Leśniak, I Sieradzki, I Podolak, On Latent Distributions Without Finite Mean in Generative Models, arXiv preprint arXiv:1806.01670 (2018)
D Leśniak, I Sieradzki, I Podolak, Distribution-Interpolation Trade off in Generative Models, (2018)
S Jastrzębski, I Sieradzki, D Leśniak, J Tabor, AJ Bojarski, S Podlewska, Three-dimensional descriptors for aminergic GPCRs: dependence on docking conformation and crystal structure, Molecular Diversity, 1-11 (2018)
2016
Stanisław Jastrzębski, Igor Sieradzki On Certain Limitations of Recursive Representation Model, SCHEDAE INFORMATICAE vol. 25 (2016), 37-47
2015
Wojciech Czarnecki, Stanisław Jastrzębski, Sabina Podlewska, Igor Sieradzki Active Learning of Compounds Activity - Towards Scientifically Sound Simulation of Drug Candidates Identification, PROCEEDINGS OF 2ND WORKSHOP ON MACHINE LEARNING IN LIFE SCIENCES (2015), 40-51
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Igor Podolak, PhD
Group of Machine Learning Research
Faculty of Mathematics and Computer Science
ul. Lojasiewicza 6
30-342, Cracow, Poland