Aleksandra Nowak

19 papers A* 4Journal 10Unranked 5

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization. ICML Aleksandra Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor
2023	A*	`conf`	Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. NeurIPS Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
2023	J	`jnl`	Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. CoRR Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
2023	A*	`conf`	Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2022	—	`conf`	Discovering Wiring Patterns Influencing Neural Network Performance. ECML/PKDD (3) Aleksandra Nowak, Romuald A. Janik
2022	—	`conf`	Nonlinear Weighted Independent Component Analysis. IPMU (2) Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
2022	—	`conf`	On the Relationship Between Disentanglement and Multi-task Learning. ECML/PKDD (1) Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj
2022	J	`jnl`	Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos
2021	A*	`conf`	Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	J	`jnl`	Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	J	`jnl`	On the relationship between disentanglement and multi-task learning. CoRR Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj
2020	J	`jnl`	Neural Networks on Random Graphs. CoRR Romuald A. Janik, Aleksandra Nowak
2020	J	`jnl`	Neural networks adapting to datasets: learning network size and topology. CoRR Romuald A. Janik, Aleksandra Nowak
2020	—	`conf`	Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
2020	J	`jnl`	WICA: nonlinear weighted ICA. CoRR Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
2019	J	`jnl`	Interpolation in generative models. CoRR Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak
2019	J	`jnl`	Non-linear ICA based on Cramer-Wold metric. CoRR Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
2019	—	`conf`	Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
2018	J	`jnl`	Deep processing of structured data. CoRR Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek