Jakub M. Tomczak
Jakub M. Tomczak
Assistant Professor at Vrije Universiteit Amsterdam
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Geciteerd door
Geciteerd door
Attention-based deep multiple instance learning
M Ilse, J Tomczak, M Welling
International conference on machine learning, 2127-2136, 2018
VAE with a VampPrior
J Tomczak, M Welling
International Conference on Artificial Intelligence and Statistics, 1214-1223, 2018
Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction
M Zięba, SK Tomczak, JM Tomczak
Expert systems with applications 58, 93-101, 2016
Hyperspherical variational auto-encoders
TR Davidson, L Falorsi, N De Cao, T Kipf, JM Tomczak
arXiv preprint arXiv:1804.00891, 2018
Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients
M Zięba, JM Tomczak, M Lubicz, J Świątek
Applied soft computing 14, 99-108, 2014
Sylvester Normalizing Flows for Variational Inference
R Berg, L Hasenclever, JM Tomczak, M Welling
arXiv preprint arXiv:1803.05649, 2018
Improving variational auto-encoders using householder flow
JM Tomczak, M Welling
arXiv preprint arXiv:1611.09630, 2016
Video compression with rate-distortion autoencoders
A Habibian, T Rozendaal, JM Tomczak, TS Cohen
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Classification restricted Boltzmann machine for comprehensible credit scoring model
JM Tomczak, M Zięba
Expert Systems with Applications 42 (4), 1789-1796, 2015
Diva: Domain invariant variational autoencoders
M Ilse, JM Tomczak, C Louizos, M Welling
Medical Imaging with Deep Learning, 322-348, 2020
Interaction prediction in structure-based virtual screening using deep learning
A Gonczarek, JM Tomczak, S Zaręba, J Kaczmar, P Dąbrowski, ...
Computers in biology and medicine 100, 253-258, 2018
Combinatorial Bayesian Optimization using the Graph Cartesian Product
C Oh, J Tomczak, E Gavves, M Welling
Advances in Neural Information Processing Systems, 2914-2924, 2019
Conditional channel gated networks for task-aware continual learning
D Abati, J Tomczak, T Blankevoort, S Calderara, R Cucchiara, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Student courses recommendation using ant colony optimization
J Sobecki, JM Tomczak
Lecture Notes in Computer Science. Lecture Notes in Artificial Intelligence …, 2010
Decision rules extraction from data stream in the presence of changing context for diabetes treatment
JM Tomczak, A Gonczarek
Knowledge and Information Systems 34 (3), 521-546, 2013
Boosted SVM with active learning strategy for imbalanced data
M Zięba, JM Tomczak
Soft Computing 19 (12), 3357-3368, 2015
Combinatorial Bayesian Optimization using the Graph Cartesian Product
C Oh, J Tomczak, E Gavves, M Welling
Advances in Neural Information Processing Systems, 2914-2924, 2019
Probabilistic combination of classification rules and its application to medical diagnosis
JM Tomczak, M Zięba
Machine Learning 101 (1), 105-135, 2015
Attentive group equivariant convolutional networks
D Romero, E Bekkers, J Tomczak, M Hoogendoorn
International Conference on Machine Learning, 8188-8199, 2020
Prediction of breast cancer recurrence using Classification Restricted Boltzmann Machine with Dropping
JM Tomczak
arXiv preprint arXiv:1308.6324, 2013
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