TEMPERONI, A., DALLE LUCCA TOSI, M., & THEOBALD, M. (2023). Efficient Hessian-based DNN Optimization via Chain-Rule Approximation. In Proceedings of the 6th Joint International Conference on Data Science Management of Data (10th ACM IKDD CODS and 28th COMAD) (pp. 297--298). Peer reviewed |
Capitanescu, S., TEMPERONI, A., & FRANCK, C. (30 November 2022). "The Origins Of Chess" A Digital 3D Chess Artwork with Physics & AI [Paper presentation]. AIFA 2022 - Artificial Intelligence and the Future of Art, Luxembourg. |
Skorski, M., TEMPERONI, A., & THEOBALD, M. (2022). Robust and Provable Guarantees for Sparse Random Embeddings. In Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part II (pp. 211-223). Springer. doi:10.1007/978-3-031-05936-0\_17 Peer reviewed |
Skorski, M., TEMPERONI, A., & THEOBALD, M. (2021). Revisiting Weight Initialization of Deep Neural Networks. In Proceedings of Machine Learning Research (pp. 1192-1207). PMLR. Peer reviewed |