Deep processing of structured data. - Lukasz Maziarka; Marek Smieja; Aleksandra Nowak 001; Jacek Tabor; Lukasz Struski; Przemyslaw Spurek (CoRR, 2018)

Set Aggregation Network as a Trainable Pooling Layer. - Lukasz Maziarka; Marek Smieja; Aleksandra Nowak 001; Jacek Tabor; Lukasz Struski; Przemyslaw Spurek (ICONIP (2), 2019)

Interpolation in generative models. - Lukasz Struski; Jacek Tabor; Igor T. Podolak; Aleksandra Nowak 001 (CoRR, 2019)

Non-linear ICA Based on Cramer-Wold Metric. - Przemyslaw Spurek; Aleksandra Nowak 001; Jacek Tabor; Lukasz Maziarka; Stanislaw Jastrzebski (ICONIP (3), 2020)

WICA: nonlinear weighted ICA. - Andrzej Bedychaj; Przemyslaw Spurek; Aleksandra Nowak 001; Jacek Tabor (CoRR, 2020)

Neural Networks on Random Graphs. - Romuald A. Janik; Aleksandra Nowak 001 (CoRR, 2020)

Neural networks adapting to datasets: learning network size and topology. - Romuald A. Janik; Aleksandra Nowak 001 (CoRR, 2020)

Non-Gaussian Gaussian Processes for Few-Shot Regression. - Marcin Sendera; Jacek Tabor; Aleksandra Nowak 001; Andrzej Bedychaj; Massimiliano Patacchiola; Tomasz Trzcinski; Przemyslaw Spurek; Maciej Zieba (NeurIPS, 2021)

Nonlinear Weighted Independent Component Analysis. - Andrzej Bedychaj; Przemyslaw Spurek; Aleksandra Nowak 001; Jacek Tabor (IPMU (2), 2022)

On the Relationship Between Disentanglement and Multi-task Learning. - Lukasz Maziarka; Aleksandra Nowak 001; Maciej Wolczyk; Andrzej Bedychaj (ECML/PKDD (1), 2022)

Discovering Wiring Patterns Influencing Neural Network Performance. - Aleksandra Nowak 001; Romuald A. Janik (ECML/PKDD (3), 2022)

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. - Aleksandra Nowak 001; Bram Grooten; Decebal Constantin Mocanu; Jacek Tabor (NeurIPS, 2023)

Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. - Mateusz Olko; Michal Zajac 005; Aleksandra Nowak 001; Nino Scherrer; Yashas Annadani; Stefan Bauer; Lukasz Kucinski; Piotr Milos (NeurIPS, 2023)

Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization. - Aleksandra Nowak 001; Lukasz Gniecki; Filip Szatkowski; Jacek Tabor (ICML, 2024)

Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization. - Aleksandra Irena Nowak; Lukasz Gniecki; Filip Szatkowski; Jacek Tabor (CoRR, 2024)

Towards Optimal Adapter Placement for Efficient Transfer Learning. - Aleksandra Irena Nowak; Otniel-Bogdan Mercea; Anurag Arnab; Jonas Pfeiffer; Yann N. Dauphin; Utku Evci (CoRR, 2024)