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Marcin Sendera
Marcin Sendera
Zweryfikowany adres z doctoral.uj.edu.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
Supermodeling: the next level of abstraction in the use of data assimilation
M Sendera, GS Duane, W Dzwinel
International Conference on Computational Science, 133-147, 2020
82020
Hybrid swarm and agent-based evolutionary optimization
L Placzkiewicz, M Sendera, A Szlachta, M Paciorek, A Byrski, ...
International Conference on Computational Science, 89-102, 2018
62018
Data adaptation in handy economy-ideology model
M Sendera
arXiv preprint arXiv:1904.04309, 2019
42019
Non-Gaussian Gaussian Processes for Few-Shot Regression
M Sendera, J Tabor, A Nowak, A Bedychaj, M Patacchiola, T Trzcinski, ...
Advances in Neural Information Processing Systems 34, 10285-10298, 2021
32021
Flow-based anomaly detection
Ł Maziarka, M Śmieja, M Sendera, Ł Struski, J Tabor, P Spurek
arXiv preprint arXiv:2010.03002, 2020
22020
Hypershot: Few-shot learning by kernel hypernetworks
M Sendera, M Przewięźlikowski, K Karanowski, M Zięba, J Tabor, ...
arXiv preprint arXiv:2203.11378, 2022
12022
OneFlow: One-class flow for anomaly detection based on a minimal volume region
L Maziarka, M Smieja, M Sendera, L Struski, J Tabor, P Spurek
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
12021
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data
M Sendera, Ł Struski, P Spurek
International Conference on Neural Information Processing, 196-204, 2021
2021
Flow-based SVDD for anomaly detection
M Sendera, M Śmieja, Ł Maziarka, Ł Struski, P Spurek, J Tabor
arXiv preprint arXiv:2108.04907, 2021
2021
Machine Classification of Methylomes in Cancer
I Newsham, M Sendera, SG Jammula, R Fitzgerald, C Massie, ...
bioRxiv, 2020
2020
Supermodeling: the second level of abstraction of data assimilation procedure
M Sendera, G Duane, W Dzwinel
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