dr hab. Marek Śmieja

Jednostki:

  • Wydział Matematyki i Informatyki UJ
  • Instytut Informatyki i Matematyki Komputerowej
  • Katedra Uczenia Maszynowego

DoktoratOtwarcie: 2013-06-27, Zamknięcie: 2015-01-29

HabilitacjaOtwarcie: 2020-11-25, Zamknięcie: 2022-12-15

Publikacje:

58.
Adrian Suwała, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemysław Spurek, Marek Śmieja
Face Identity-Aware Disentanglement in StyleGAN, IEEE Workshop on Applications of Computer Vision [WACV], (2024), 10
57.
Witold Wydmański, Oleksii Bulenok, Marek Śmieja
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 9
56.
Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski, Maciej Wołczyk, Klaudia Bałazy, Bartłomiej Krzepkowski, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński
55.
r-softmax: Generalized Softmax with Controllable Sparsity Rate, International Conference on Computational Science [ICCS] vol. Lecture Notes in Computer Science, vol 14074. Springer, Cham (2023), 137-145
54.
ChiENN: Embracing Molecular Chirality with Graph Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. Lecture Notes in Computer Science(), vol 14171. Springer, Cham (2023), 36-52
53.
Michał Znaleźniak, Przemysław Rola, Patryk Kaszuba, Jacek Tabor, Marek Śmieja
Contrastive Hierarchical Clustering, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. Lecture Notes in Computer Science(), vol 14169. Springer, Cham. (2023), 627–643
52.
Morawiecki Paweł, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja
Hebbian Continual Representation Learning, Hawaii International Conference on System Sciences [HICSS], (2023), 1259-1268
51.
SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846
48.
Bernhard C. Geiger, Sophie Steger, Marek Śmieja
Semi-Supervised Clustering via Information-Theoretic Markov Chain Aggregation, ACM Symposium on Applied Computing [SAC](MAIN), (2022), 1136-1139
47.
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Zięba Maciej , Patryk Wielopolski, Rafał Kurczab, Marek Śmieja
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 36/8 (2022), 8647-8656
46.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski, Jacek Tabor
MisConv: Convolutional Neural Networks for Missing Data, IEEE Workshop on Applications of Computer Vision [WACV], (2022), 2060-2069
44.
Bartosz Wójcik, Morawiecki Paweł, Marek Śmieja, Tomasz Krzyżek, Przemysław Spurek, Jacek Tabor
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders, International Conference on Tools with Artificial Intelligence [ICTAI], (2021), 1322-1326
43.
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 1-13
40.
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models, European Symposium on Artificial Neural Networks [ESANN], (2020), 6
39.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model, International Conference on Neural Information Processing [ICONIP] vol. Lecture Notes in Computer Science volume 12534 (2020), 220-231
38.
Marek Śmieja, Maciej Kołomycki, Łukasz Struski, Mateusz Juda, Mario A.T. Figueiredo
Iterative Imputation of Missing Data using Auto-encoder Dynamics, International Conference on Neural Information Processing [ICONIP] vol. Lecture Notes in Computer Science, volume 12534 (2020), 258-269
37.
Processing of Incomplete Images by (Graph) Convolutional Neural Networks, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science, volume 12533 (2020), 512-523
36.
Spatial Graph Convolutional Networks, International Conference On Neural Information Processing vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
35.
Marek Śmieja, Maciej Kołomycki, Łukasz Struski, Mateusz Juda, Mario A.T. Figueiredo
Can auto-encoders help with filling missing data?, International Conference On Learning Represenation (workshop Track) (2020), 6
34.
Marcin Przewięźlikowski, Marek Śmieja, Łukasz Struski
Estimating conditional density of missing values using deep Gaussian mixture model, International Conference On Machine Learning (workshop Track) (2020), 6
33.
Processing of incomplete images by (graph) convolutional neural networks, International Conference On Machine Learning (workshop Track) (2020),
32.
Flow-based SVDD for anomaly detection, International Conference On Machine Learning (workshop Track) (2020),
27.
Set Aggregation Network as a Trainable Pooling Layer, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
26.
Sylwester Klocek, Łukasz Maziarka, Jakub Nowak, Marek Śmieja, Jacek Tabor, Maciej Wołczyk
Hypernetwork Functional Image Representation, Artificial Neural Networks and Machine Learning – Icann 2019: Workshop and Special Sessions (2019), 496-510
21.
Processing of missing data by neural networks, Advances in Neural Information Processing Systems vol. 31 (2018), 2719-2729
15.
R Package CEC , Neurocomputing vol. 237 (2017), 410–413
13.
Szymon Nakoneczny, Marek Śmieja
Natural language processing methods in biological activity prediction, Proceedings of Ecml Pkdd Workshop On Machine Learning in Life Sciences (2016), 25-36
12.
Szymon Nakoneczny, Marek Śmieja, Jacek Tabor
Fast entropy clustering of sparse high dimensional binary data, Proceednigs of Ieee International Joint Conference On Neural Networks (ijcnn 2016) (2016), 2397-2404
10.
Probability Index of Metric Correspondence as a measure of visualization reliability, Proceedings of Ecml Pkdd Workshop On Machine Learning in Life Sciences (2015), 16-27
9.
Spherical Wards clustering and generalized Voronoi diagrams, Proceeding of Ieee International Conference On Data Science and Advanced Analytics vol. 36678 (2015), 10
4.
Andrzej Bojarski, Marek Śmieja, Jacek Tabor, Dawid Warszycki
3.
Renyi entropy dimension of the mixture of measures, Proceedings of Science and Information Conference (2014), 685-689
2.
Image segmentation with use of cross-entropy clustering, Advances in Intelligent Systems and Computing vol. 226 (2013), 403-409

Konferencje:

27.
ICLR International Conference on Learning Representatons, ICLR, Addis Ababa, Etiopia (virtual conference), 2020-04-26 - 2020-05-01
25.
Machine Learning Nokia Workshop, Nokia, Kraków, Polska, 2019-01-17 - 2019-01-17
24.
PL in ML: Polish View on Machine Learning, Uniwersytet Warszawski, Warszawa, Polska, 2018-12-14 - 2018-12-17
23.
NIPS 32nd International Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, Montreal, Kanada, 2018-12-02 - 2018-12-08
22.
ICML 35th International Conference on Machine Learning, International Machine Learning Society, Sztokholm, Szwecja, 2018-07-10 - 2018-07-15
21.
International Conference on Statistical Challenges in 21st Century Cosmology, Universitat de Valencia, Walencja, Hiszpania, 2018-05-22 - 2018-05-25
20.
eKNOW 10th International Conference on Information, Process, and Knowledge Management, International Academy, Research, and Industry Association, Rzym, Włochy, 2018-03-25 - 2018-03-29
19.
IDA 16th International Symposium on Intelligent Data Analysis, Birkbeck, University of London, UK, Londyn, Wielka Brytania, 2017-10-26 - 2017-10-28
18.
ICML 34th International Conference on Machine Learning, International Machine Learning Society, Sydney, Australia, 2017-08-06 - 2017-08-11
17.
TFML 2nd International Conference on Theoretical Foundations of Machine Learning, Uniwersytet Jagielloński, Kraków, Polska, 2017-02-13 - 2017-02-16
16.
ECML PKDD Workshop on Machine Learning in Life Science, University of Trento, Rive del Garda, Włochy, 2016-09-19 - 2016-09-23
15.
IJCNN IEEE International Joint Conference on Neural Networks, IEEE Computational Intelligence Society, Vancouver, Kanada, 2016-07-16 - 2016-07-29
14.
DSAA IEEE International Conference on Data Science and Advanced Analytics, IEEE Computational Intelligence Society, Paryż, Francja, 2015-10-19 - 2015-10-21
13.
MVML International Conference on Machine Vision and Machine Learning, International ASET Inc., Barcelona, Hiszpania, 2015-07-13 - 2015-07-14
12.
CISIM 13th International Conference on Computer Information Systems and Industrial Management Applications, Ton Duc Thang University, Ho Chi Minh City, Wietnam, 2014-11-05 - 2014-11-07
11.
XLIII Conference on Applied Mathematics, Instytut Matematyczny PAN, Zakopane, Polska, 2014-09-02 - 2014-09-09
10.
SAI Science and Information Conference, Science and Information Conferences, Londyn, Wielka Brytania, 2014-08-27 - 2014-08-29
9.
8th Annual International Conference on Mathematics and Statistics, The Athens Institute for Education and Research, Ateny, Grecja, 2014-06-30 - 2014-06-03
8.
AISTATS 17th International Conference on Artificial Intelligence and Statistics, Artificial Intelligence and Statistics Society, Rejkiawik, Islandia, 2014-04-22 - 2014-04-25
6.
XLII Conference of Applied Mathematics, Instytut Matematyczny PAN, Zakopane, Polska, 2013-08-27 - 2013-09-03
5.
Between Theory and Applications, Uniwersytet Gdański, Będlewo, Polska, 2013-06-16 - 2013-06-22
4.
CORES 8th International Conference on Computer Recognition Systems, Politechnika Wrocławska, Miłków, Polska, 2013-05-27 - 2013-05-29
3.
ITW Information Theory Workshop, IEEE Information Theory Society, Lozanna, Szwajcaria, 2012-09-03 - 2012-09-07
1.
XL Conference of Applied Mathematics, Instytut Matematyczny PAN, Zakopane, Polska, 2011-08-30 - 2011-09-06

Konferencje organizowane:

Granty (realizowane po maju 2009 roku)

Nagrody

RokRodzajRodzaj uhonorowanej działalnościTyp 
2021nagrodawybitny dorobek naukowy lub artystycznykrajowaSzczegóły