Likelihood-free mcmc with amortized approximate ratio estimators J Hermans, V Begy, G Louppe International conference on machine learning, 4239-4248, 2020 | 175* | 2020 |
A trust crisis in simulation-based inference? your posterior approximations can be unfaithful J Hermans, A Delaunoy, F Rozet, A Wehenkel, V Begy, G Louppe arXiv preprint arXiv:2110.06581, 2021 | 81* | 2021 |
Forecasting network throughput of remote data access in computing grids V Begy, M Barisits, M Lassnig, E Schikuta Journal of Computational Science 44, 101158, 2020 | 9 | 2020 |
Hypothesis J Hermans, V Begy | 6 | 2019 |
A lightweight e-learning system for algorithms and data structures V Begy, E Schikuta Proceedings of the 18th International Conference on Information Integration …, 2016 | 3 | 2016 |
Error-guided likelihood-free MCMC V Begy, E Schikuta 2021 International Joint Conference on Neural Networks (IJCNN), 1-7, 2021 | 2 | 2021 |
Simulating Data Access Profiles of Computational Jobs in Data Grids V Begy, J Hermans, M Barisits, M Lassnig, E Schikuta 2019 15th International Conference on eScience (eScience), 394-402, 2019 | 1 | 2019 |
Remote data access in computational jobs on the ATLAS data grid V Begy, M Barisits, M Lassnig, E Schikuta EPJ Web of Conferences 214, 04028, 2019 | | 2019 |
Big data analytics for the Future Circular Collider reliability and availability studies V Begy, A Apollonio, J Gutleber, M Martin-Marquez, A Niemi, JP Penttinen, ... Journal of Physics: Conference Series 898 (7), 072005, 2017 | | 2017 |
webAD: Visualizing Algorithms and Data Structures in Educational Environment V Begy, E Schikuta EdMedia+ Innovate Learning, 1496-1503, 2016 | | 2016 |
Webad: Visualizing algorithms and data structures V Begy uniwien, 2015 | | 2015 |