| The klarna product page dataset: A realistic benchmark for web representation learning A Hotti, RS Risuleo, S Magureanu, A Moradi, J Lagergren arXiv preprint arXiv:2111.02168, 2021 | 11 | 2021 |
| Cooperation in the latent space: The benefits of adding mixture components in variational autoencoders O Kviman, R Molén, A Hotti, S Kurt, V Elvira, J Lagergren International Conference on Machine Learning, 18008-18022, 2023 | 7 | 2023 |
| Graph neural networks for nomination and representation learning of web elements A Hotti, RS Risuleo, S Magureanu, A Moradi, J Lagergren arXiv preprint arXiv:2111.02168, 2021 | 4 | 2021 |
| Learning with miselbo: The mixture cookbook O Kviman, R Molén, A Hotti, S Kurt, V Elvira, J Lagergren | 3 | 2022 |
| Indirectly Parameterized Concrete Autoencoders A Nilsson, K Wijk, E Englesson, A Hotti, C Saccardi, O Kviman, ... arXiv preprint arXiv:2403.00563, 2024 | 2 | 2024 |
| Procedurally generating realistic interfaces using machine learning techniques A Moradi, A Hotti, RS Risuleo, S Magureanu US Patent App. 17/318,946, 2022 | 2 | 2022 |
| Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds AM Hotti, LA Van der Goten, J Lagergren International Conference on Artificial Intelligence and Statistics, 3538-3546, 2024 | 1 | 2024 |
| Efficient Mixture Learning in Black-Box Variational Inference A Hotti, O Kviman, R Molén, V Elvira, J Lagergren Proceedings of the 41st International Conference on Machine Learning 235 …, 2024 | | 2024 |
| Dynamic labeling of functionally equivalent neighboring nodes in an object model tree A Hotti, RS Risuleo, A Moradi, S Magureanu, J Lagergren US Patent 11,610,047, 2023 | | 2023 |
