| CKConv: Continuous Kernel Convolution For Sequential Data DW Romero, A Kuzina, EJ Bekkers, JM Tomczak, M Hoogendoorn International Conference on Learning Representations (ICLR), 2022, 2021 | 140 | 2021 |
| BooVAE: Boosting Approach for Continual Learning of VAE E Egorov, A Kuzina, E Burnaev Advances in Neural Information Processing Systems (NeurIPS), 2021 34, 2021 | 34 | 2021 |
| On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models K Deja, A Kuzina, T Trzciński, JM Tomczak Advances in Neural Information Processing Systems (NeurIPS), 2022 35, 2022 | 31 | 2022 |
| Bayesian generative models for knowledge transfer in MRI semantic segmentation problems A Kuzina, E Egorov, E Burnaev Frontiers in neuroscience 13, 844, 2019 | 23 | 2019 |
| Alleviating Adversarial Attacks on Variational Autoencoders with MCMC A Kuzina, M Welling, JM Tomczak Advances in Neural Information Processing Systems, 2022 | 15 | 2022 |
| Exploring continual learning of diffusion models M Zając, K Deja, A Kuzina, JM Tomczak, T Trzciński, F Shkurti, P Miłoś arXiv preprint arXiv:2303.15342, 2023 | 12 | 2023 |
| Diagnosing Vulnerability of Variational Auto-Encoders to Adversarial Attacks A Kuzina, M Welling, JM Tomczak RobustML Workshop@ICLR 2021, 2021 | 10 | 2021 |
| Ensemble of 3D CNN regressors with data fusion for fluid intelligence prediction M Pominova, A Kuzina, E Kondrateva, S Sushchinskaya, E Burnaev, ... Adolescent Brain Cognitive Development Neurocognitive Prediction: First …, 2019 | 8 | 2019 |
| Discouraging posterior collapse in hierarchical Variational Autoencoders using context A Kuzina, JM Tomczak arXiv preprint arXiv:2302.09976, 2023 | 3 | 2023 |
| Equivariant Priors for Compressed Sensing with Unknown Orientation A Kuzina, K Pratik, FV Massoli, A Behboodi Proceedings of the 39th International Conference on Machine Learning, PMLR …, 2022 | 2 | 2022 |
| Hierarchical VAE with a Diffusion-based VampPrior A Kuzina, JM Tomczak Transactions on Machine Learning Research, 2024 | | 2024 |
| Variational Stochastic Gradient Descent for Deep Neural Networks H Chen, A Kuzina, B Esmaeili, JM Tomczak arXiv preprint arXiv:2404.06549, 2024 | | 2024 |
| Equivariant generative prior for inverse problems with unknown rotation A Behboodi, A Kuzina, FV Massoli, K Pratik US Patent App. 18/100,263, 2023 | | 2023 |
Jakub M. TomczakAssociate professor at Eindhoven University of TechnologyVerified email at tue.nl