Revisiting Weight Initialization of Deep Neural Networks. - Maciej Skorski; Alessandro Temperoni; Martin Theobald (ACML, 2021)

Robust and Provable Guarantees for Sparse Random Embeddings. - Maciej Skorski; Alessandro Temperoni; Martin Theobald (PAKDD (2), 2022)

Efficient Hessian-based DNN Optimization via Chain-Rule Approximation. - Alessandro Temperoni; Mauro Dalle Lucca Tosi; Martin Theobald (COMAD/CODS, 2023)

Enriching Relation Extraction with OpenIE. - Alessandro Temperoni; Maria Biryukov; Martin Theobald (DATA, 2023)

Exact Non-Oblivious Performance of Rademacher Random Embeddings. - Maciej Skorski; Alessandro Temperoni (CoRR, 2023)

Non-Oblivious Performance of Random Projections. - Maciej Skorski; Alessandro Temperoni (ACML, 2024)