Najnowsze publikacje

• Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor, Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2023),
• Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński, Piotr Miłoś, Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2023),
• Aleksandra Nowak, Romuald A. Janik, Discovering wiring patterns influencing neural network performance, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) [ECML PKDD] Lecture Notes in Computer Science, vol 13715. Springer, Cham (2022), 631-646
• Łukasz Maziarka, Aleksandra Nowak, Maciej Wołczyk, Andrzej Bedychaj, On the relationship between disentanglement and multi-task learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2022),
• Andrzej Bedychaj, Przemysław Spurek, Aleksandra Nowak, Jacek Tabor, Nonlinear Weighted Independent Component Analysis, International Conference on Information Processing and Management of Uncertainty [IPMU] II (2022), 3–16