| Transfer learning based few-shot classification using optimal transport mapping from preprocessed latent space of backbone neural network T Chobola, D Vašata, P Kordík AAAI Workshop on Meta-Learning and MetaDL Challenge, 29-37, 2021 | 20 | 2021 |
| Membership inference attacks against semantic segmentation models T Chobola, D Usynin, G Kaissis Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 5 | 2023 |
| Study of light-by-light scattering with the ATLAS Forward Proton (AFP) Detector at CERN T Chobola Prague, Tech. U., 2020 | 3 | 2020 |
| LUCYD: A Feature-Driven Richardson-Lucy Deconvolution Network T Chobola, G Müller, V Dausmann, A Theileis, J Taucher, J Huisken, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| DELAD: Deep Landweber-guided deconvolution with Hessian and sparse prior T Chobola, A Theileis, J Taucher, T Peng arXiv preprint arXiv:2209.15377, 2022 | 1 | 2022 |
| Leveraging Classic Deconvolution and Feature Extraction in Zero-Shot Image Restoration T Chobola, G Müller, V Dausmann, A Theileis, J Taucher, J Huisken, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | | 2023 |
| Unsupervised Latent Space Translation Network M Friedjungová, D Vašata, T Chobola, M Jiřina arXiv preprint arXiv:2003.09149, 2020 | | 2020 |
