Nowak, Aleksandra

7 publications

ICML 2024 Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor

NeurIPS 2023 Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor

NeurIPS 2023 Trust Your $\nabla$: Gradient-Based Intervention Targeting for Causal Discovery Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński, Piotr Miłoś

ECML-PKDD 2022 Discovering Wiring Patterns Influencing Neural Network Performance Aleksandra Nowak, Romuald A. Janik

ECML-PKDD 2022 On the Relationship Between Disentanglement and Multi-Task Learning Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj

NeurIPSW 2022 Trust Your $\nabla$: Gradient-Based Intervention Targeting for Causal Discovery Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński, Piotr Miłoś

NeurIPS 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemysław Spurek, Maciej Zieba