| Continual Classification Learning Using Generative Models F Lavda, J Ramapuram, M Gregorova, A Kalousis 32nd Conference on Neural Information Processing Systems (NIPS 2018 …, 2018 | 32 | 2018 |
| Variational Saccading: Efficient Inference for Large Resolution Images J Ramapuram, M Diephuis, L Frantzeska, R Webb, A Kalousis BMVC 2019 & Bayesian Deep Learning Workshop Neurips, 2018, 2018 | 6 | 2018 |
| Data-dependent conditional priors for unsupervised learning of multimodal data F Lavda, M Gregorová, A Kalousis Entropy 22 (8), 888, 2020 | 3 | 2020 |
| Improving VAE generations of multimodal data through data-dependent conditional priors F Lavda, M Gregorová, A Kalousis arXiv preprint arXiv:1911.10885, 2019 | 3 | 2019 |
| Variational saccading J Ramapuram, M Diephuis, F Lavda, R Webb, A Kalousis Proceedings of the 30th British Machine Vision Conference, 2019 | | 2019 |
| A Study of Recurrent neural networks (RNNs) in univariate and multivariate time series F Lavda | | |
Alexandros KalousisUniversity of Applied Sciences, Western Switzerland (HES-SO).Verified email at hesge.ch
