Aleksandra Nowak

According to our database, Aleksandra Nowak authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization.

Aleksandra Irena Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor

CoRR, 2024

Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization.

Aleksandra Nowak, Lukasz Gniecki, Filip Szatkowski, Jacek Tabor

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Trust Your 𝛁: Gradient-based Intervention Targeting for Causal Discovery.

Mateusz Olko, Michal Zajac, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Lukasz Kucinski, Piotr Milos

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training.

Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu, Jacek Tabor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Discovering Wiring Patterns Influencing Neural Network Performance.

Aleksandra Nowak, Romuald A. Janik

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

On the Relationship Between Disentanglement and Multi-task Learning.

Lukasz Maziarka, Aleksandra Nowak, Maciej Wolczyk, Andrzej Bedychaj

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Nonlinear Weighted Independent Component Analysis.

Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

2021

Non-Gaussian Gaussian Processes for Few-Shot Regression.

Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Neural networks adapting to datasets: learning network size and topology.

Romuald A. Janik, Aleksandra Nowak

CoRR, 2020

Neural Networks on Random Graphs.

Romuald A. Janik, Aleksandra Nowak

CoRR, 2020

WICA: nonlinear weighted ICA.

Andrzej Bedychaj, Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor

CoRR, 2020

Non-linear ICA Based on Cramer-Wold Metric.

Przemyslaw Spurek, Aleksandra Nowak, Jacek Tabor, Lukasz Maziarka, Stanislaw Jastrzebski

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Interpolation in generative models.

Lukasz Struski, Jacek Tabor, Igor T. Podolak, Aleksandra Nowak

CoRR, 2019

Set Aggregation Network as a Trainable Pooling Layer.

Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Deep processing of structured data.

Lukasz Maziarka, Marek Smieja, Aleksandra Nowak, Jacek Tabor, Lukasz Struski, Przemyslaw Spurek

CoRR, 2018