Aleksandra Nowak

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Gaussian Process

Independent Component Analysis

Top Venues

Publications

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)
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)
Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training. CoRR (2023)
Aleksandra Nowak, Romuald A. Janik
Discovering Wiring Patterns Influencing Neural Network Performance. ECML/PKDD (3) (2022)
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 (2022)
Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
Nonlinear Weighted Independent Component Analysis. IPMU (2) (2022)
Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj
On the Relationship Between Disentanglement and Multi-task Learning. ECML/PKDD (1) (2022)
Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj
On the relationship between disentanglement and multi-task learning. CoRR (2021)
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 (2021)
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)
Romuald A. Janik, Aleksandra Nowak
Neural Networks on Random Graphs. CoRR (2020)
Romuald A. Janik, Aleksandra Nowak
Neural networks adapting to datasets: learning network size and topology. CoRR (2020)
Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
Non-linear ICA Based on Cramer-Wold Metric. ICONIP (3) (2020)
Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor
WICA: nonlinear weighted ICA. CoRR (2020)
Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski
Non-linear ICA based on Cramer-Wold metric. CoRR (2019)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Set Aggregation Network as a Trainable Pooling Layer. ICONIP (2) (2019)
Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak
Interpolation in generative models. CoRR (2019)
Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek
Deep processing of structured data. CoRR (2018)