| Lifelong Generative Modeling J Ramapuram, M Gregorova, A Kalousis Neurocomputing, 2020 | 125 | 2020 |
| Continual Classification Learning Using Generative Models F Lavda, J Ramapuram, M Gregorova, A Kalousis Continual learning Workshop NeurIPS 2018, 2018 | 53 | 2018 |
| Structured nonlinear variable selection M Gregorová, A Kalousis, S Marchand-Maillet Conference on Uncertainty in Artificial Intelligence, UAI 2018, 2018 | 8 | 2018 |
| 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 | 6 | 2020 |
| 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 |
| Graph annotation generative adversarial networks Y Boget, M Gregorova, A Kalousis Asian Conference on Machine Learning, 16-16, 2023 | 3 | 2023 |
| Data-dependent conditional priors for unsupervised learning of multimodal data F Lavda, M Gregorová, A Kalousis Entropy 22 (8), 888, 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 | 3 | 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 | 3 | 2017 |
| Diffusion-based Visual Counterfactual Explanations--Towards Systematic Quantitative Evaluation P Vaeth, AM Fruehwald, B Paassen, M Gregorova arXiv preprint arXiv:2308.06100, 2023 | 1 | 2023 |
| Vector-Quantized Graph Auto-Encoder Y Boget, M Gregorova, A Kalousis arXiv preprint arXiv:2306.07735, 2023 | 1 | 2023 |
| Learned transform compression with optimized entropy encoding M Gregorova, M Desaules, A Kalousis Neural Compression: From Information Theory to Applications--Workshop@ ICLR 2021, 2021 | 1 | 2021 |
| Sparse Learning for Variable Selection with Structures and Nonlinearities M Gregorova arXiv preprint arXiv:1903.10978, 2018 | 1 | 2018 |
| 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 |
| Discrete Graph Auto-Encoder Y Boget, M Gregorova, A Kalousis | | |
