Agnieszka Slowik

According to our database, Agnieszka Slowik authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Diffusion tensor imaging metrics as natural markers of multiple sclerosis-induced brain disorders with a low Expanded Disability Status Scale score.

Artur Tadeusz Krzyzak, Julia Lasek, Zofia Schneider, Marcin Wnuk, Amira Bryll, Tadeusz Popiela, Agnieszka Slowik

NeuroImage, 2024

Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users.

Daniela Massiceti, Camilla Longden, Agnieszka Slowik, Samuel Wills, Martin Grayson, Cecily Morrison

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2022

On Distributionally Robust Optimization and Data Rebalancing.

Agnieszka Slowik, Léon Bottou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract).

Agnieszka Slowik, Léon Bottou, Sean B. Holden, Mateja Jamnik

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation.

Agnieszka Slowik, Léon Bottou

CoRR, 2021

Linear unit-tests for invariance discovery.

Benjamin Aubin, Agnieszka Slowik, Martín Arjovsky, Léon Bottou, David Lopez-Paz

CoRR, 2021

Structural Inductive Biases in Emergent Communication.

Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Chris Pal

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021

Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers.

Alex Lamb, Anirudh Goyal, Agnieszka Slowik, Michael Mozer, Philippe Beaudoin, Yoshua Bengio

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Inductive Bias and Language Expressivity in Emergent Communication.

Shangmin Guo, Yi Ren, Agnieszka Slowik, Kory W. Mathewson

CoRR, 2020

Exploring Structural Inductive Biases in Emergent Communication.

Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden, Christopher J. Pal

CoRR, 2020

Towards Graph Representation Learning in Emergent Communication.

Agnieszka Slowik, Abhinav Gupta, William L. Hamilton, Mateja Jamnik, Sean B. Holden

CoRR, 2020

Spatial Graph Convolutional Networks.

Tomasz Danel, Przemyslaw Spurek, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka

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

Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract).

Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Bayesian Optimisation with Gaussian Processes for Premise Selection.

Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson

CoRR, 2019

Geometric Graph Convolutional Neural Networks.

Przemyslaw Spurek, Tomasz Danel, Jacek Tabor, Marek Smieja, Lukasz Struski, Agnieszka Slowik, Lukasz Maziarka

CoRR, 2019

Completing partial recipes using item-based collaborative filtering to recommend ingredients.

Paula Fermín Cueto, Meeke Roet, Agnieszka Slowik

CoRR, 2019

Bayesian Optimisation for Heuristic Configuration in Automated Theorem Proving.

Agnieszka Slowik, Chaitanya Mangla, Mateja Jamnik, Sean B. Holden, Lawrence C. Paulson

Proceedings of the Vampire 2018 and Vampire 2019. The 5th and 6th Vampire Workshops, 2019

2018

Dilated DenseNets for Relational Reasoning.

Antreas Antoniou, Agnieszka Slowik, Elliot J. Crowley, Amos J. Storkey

CoRR, 2018