| Revisiting Weight Initialization of Deep Neural Networks M Skorski, A Temperoni, M Theobald Asian Conference on Machine Learning, 1192-1207, 2021 | 15 | 2021 |
| Enriching Relation Extraction with OpenIE A Temperoni, M Biryukov, M Theobald arXiv preprint arXiv:2212.09376, 2022 | 1 | 2022 |
| Robust and provable guarantees for sparse random embeddings M Skorski, A Temperoni, M Theobald Pacific-Asia Conference on Knowledge Discovery and Data Mining, 211-223, 2022 | 1 | 2022 |
| Enhancing Deep Learning Performance with Second-order Methods, Random Embeddings, and Relation Extraction A Temperoni University of Luxembourg, Luxembourg, 2023 | | 2023 |
| Exact Non-Oblivious Performance of Rademacher Random Embeddings M Skorski, A Temperoni arXiv preprint arXiv:2303.11774, 2023 | | 2023 |
| Efficient Hessian-based DNN Optimization via Chain-Rule Approximation A Temperoni, M Dalle Lucca Tosi, M Theobald Proceedings of the 6th Joint International Conference on Data Science …, 2023 | | 2023 |
| " The Origins Of Chess" A Digital 3D Chess Artwork with Physics & AI S Capitanescu, A Temperoni, C Franck | | 2022 |
