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ORCIDAleksandra Nowak 0001
Person information
- affiliation: Jagiellonian University, Faculty of Mathematics and Computer Science, Krakow, Poland
Other persons with the same name
- Aleksandra Nowak 0002 — Poznan Supercomputing and Networking Center (PSNC), Poznań, Poland
- Aleksandra Nowak 0003
![[0000-0002-4088-327X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-4088-327X")
— National Research Institute, Central Institute for Labour Protection, Department of Personal Protective Equipment, Lodz, Poland
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2020 – today
- 2024
[c9]Aleksandra Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor:
Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization. ICML 2024- [i11]Aleksandra Irena Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor:
Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization. CoRR abs/2406.01755 (2024) - 2023
- [c8]Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor:
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. NeurIPS 2023 - [c7]Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos:
Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery. NeurIPS 2023 - [i10]Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor:
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. CoRR abs/2306.12230 (2023) - 2022
- [c6]Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor:
Nonlinear Weighted Independent Component Analysis. IPMU (2) 2022: 3-16 - [c5]Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj:
On the Relationship Between Disentanglement and Multi-task Learning. ECML/PKDD (1) 2022: 625-641 - [c4]Aleksandra Nowak, Romuald A. Janik:
Discovering Wiring Patterns Influencing Neural Network Performance. ECML/PKDD (3) 2022: 631-646 - [i9]Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos:
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery. CoRR abs/2211.13715 (2022) - 2021
- [c3]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS 2021: 10285-10298 - [i8]Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj:
On the relationship between disentanglement and multi-task learning. CoRR abs/2110.03498 (2021) - [i7]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR abs/2110.13561 (2021) - 2020
- [c2]Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski:
Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) 2020: 294-305 - [i6]Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor:
WICA: nonlinear weighted ICA. CoRR abs/2001.04147 (2020) - [i5]Romuald A. Janik, Aleksandra Nowak:
Neural Networks on Random Graphs. CoRR abs/2002.08104 (2020) - [i4]Romuald A. Janik, Aleksandra Nowak:
Neural networks adapting to datasets: learning network size and topology. CoRR abs/2006.12195 (2020)
2010 – 2019
- 2019
- [c1]Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek:
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) 2019: 419-431 - [i3]Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski:
Non-linear ICA based on Cramer-Wold metric. CoRR abs/1903.00201 (2019) - [i2]Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak:
Interpolation in generative models. CoRR abs/1904.03445 (2019) - 2018
- [i1]Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek:
Deep processing of structured data. CoRR abs/1810.01868 (2018)
Coauthor Index
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