| Lifelong Generative Modeling J Ramapuram, M Gregorova, A Kalousis Neurocomputing, 2020 | 78 | 2020 |
| Continual Classification Learning Using Generative Models F Lavda, J Ramapuram, M Gregorova, A Kalousis Continual learning Workshop NeurIPS 2018, 2018 | 32 | 2018 |
| Structured nonlinear variable selection M Gregorová, A Kalousis, S Marchand-Maillet Conference on Uncertainty in Artificial Intelligence, UAI 2018, 2018 | 9 | 2018 |
| Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks M Gregorova, A Kalousis, S Marchand-Maillet Asian Conference on Machine Learning, 2017 | 5* | 2017 |
| Learning coherent Granger-causality in panel vector autoregressive models M Gregorová, A Kalousis ICML 2015 Workshop on Demand Forecasting, 2015 | 4 | 2015 |
| 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 Frontiers in Artificial Intelligence and Applications 325, 1254-1261, 2020 | 3 | 2020 |
| Large-scale nonlinear variable selection via kernel random features M Gregorová, J Ramapuram, A Kalousis, S Marchand-Maillet Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 2 | 2019 |
| Forecasting and granger modelling with non-linear dynamical dependencies M Gregorová, A Kalousis, S Marchand-Maillet Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 2 | 2017 |
| Sparse Learning for Variable Selection with Structures and Nonlinearities M Gregorova arXiv preprint arXiv:1903.10978, 2018 | 1 | 2018 |
| GrannGAN: Graph annotation generative adversarial networks Y Boget, M Gregorova, A Kalousis Asian Conference on Machine Learning, 2022 | | 2022 |
| Learned transform compression with optimized entropy encoding M Gregorova, M Desaules, A Kalousis Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021 | | 2021 |
| Permutation Equivariant Generative Adversarial Networks for Graphs Y Boget, M Gregorova, A Kalousis ELLIS Machine Learning for Molecule Discovery Workshop @ NeurIPS 2021, 2021 | | 2021 |
| Functional learning of time-series models preserving Granger-causality structures M Gregorova, F Dinuzzo, A Kalousis NIPS 2015 Times Series Workshop, 2015 | | 2015 |
| Structured sparsity in VAR M Gregorova, SML Day | | 2014 |
