mgr Aleksandra Nowak

Jednostki:

  • Wydział Matematyki i Informatyki UJ
  • Instytut Informatyki i Matematyki Komputerowej
  • Katedra Uczenia Maszynowego

Publikacje:

10.
Aleksandra Nowak, Łukasz Gniecki, Filip Szatkowski, Jacek Tabor
Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization, International Conference on Machine Learning [ICML] vol. Proceedings of Machine Learning Research, Volume 235 (2024), 38474--38494
9.
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) vol. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (2023), 55160--55192
8.
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) vol. Advances in Neural Information Processing Systems 36 (NeurIPS 2023) (2023), 50617--50647
7.
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] vol. Lecture Notes in Computer Science, vol 13715. Springer, Cham (2023), 631-646
6.
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),
5.
Andrzej Bedychaj, Przemysław Spurek, Aleksandra Nowak, Jacek Tabor
Nonlinear Weighted Independent Component Analysis, International Conference on Information Processing and Management of Uncertainty [IPMU] vol. II (2022), 3–16
4.
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Przemysław Spurek, Tomasz Trzciński, Zięba Maciej
Non-Gaussian Gaussian Processes for Few-Shot Regression, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 10285-10298
3.
Stanisław Jastrzębski, Łukasz Maziarka, Aleksandra Nowak, Przemysław Spurek, Jacek Tabor
Non-linear ICA based on Cramer-Wold metric, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 12534) (2020),
2.
Łukasz Maziarka, Marek Śmieja, Aleksandra Nowak, Jacek Tabor, Łukasz Struski, Przemysław Spurek
Set Aggregation Network as a Trainable Pooling Layer, International Conference On Neural Information Processing vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
1.
Michał Cieśla, Aleksandra Nowak
Managing numerical errors in random sequential adsorption, Surface Science vol. 651 (2016), 182-186