Dilated DenseNets for Relational Reasoning. - Antreas Antoniou; Agnieszka Slowik; Elliot J. Crowley; Amos J. Storkey (CoRR, 2018)

Bayesian Optimisation for Heuristic Configuration in Automated Theorem Proving. - Agnieszka Slowik; Chaitanya Mangla; Mateja Jamnik; Sean B. Holden; Lawrence C. Paulson (Vampire, 2019)

Completing partial recipes using item-based collaborative filtering to recommend ingredients. - Paula Fermín Cueto; Meeke Roet; Agnieszka Slowik (CoRR, 2019)

Geometric Graph Convolutional Neural Networks. - Przemyslaw Spurek; Tomasz Danel; Jacek Tabor; Marek Smieja; Lukasz Struski; Agnieszka Slowik; Lukasz Maziarka (CoRR, 2019)

Bayesian Optimisation with Gaussian Processes for Premise Selection. - Agnieszka Slowik; Chaitanya Mangla; Mateja Jamnik; Sean B. Holden; Lawrence C. Paulson (CoRR, 2019)

Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract). - Agnieszka Slowik; Chaitanya Mangla; Mateja Jamnik; Sean B. Holden; Lawrence C. Paulson (AAAI, 2020)

Spatial Graph Convolutional Networks. - Tomasz Danel; Przemyslaw Spurek; Jacek Tabor; Marek Smieja; Lukasz Struski; Agnieszka Slowik; Lukasz Maziarka (ICONIP (5), 2020)

Towards Graph Representation Learning in Emergent Communication. - Agnieszka Slowik; Abhinav Gupta 002; William L. Hamilton; Mateja Jamnik; Sean B. Holden (CoRR, 2020)

Exploring Structural Inductive Biases in Emergent Communication. - Agnieszka Slowik; Abhinav Gupta 002; William L. Hamilton; Mateja Jamnik; Sean B. Holden; Christopher J. Pal (CoRR, 2020)

Inductive Bias and Language Expressivity in Emergent Communication. - Shangmin Guo; Yi Ren; Agnieszka Slowik; Kory W. Mathewson (CoRR, 2020)

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 (AISTATS, 2021)

Structural Inductive Biases in Emergent Communication. - Agnieszka Slowik; Abhinav Gupta 002; William L. Hamilton; Mateja Jamnik; Sean B. Holden; Chris Pal (CogSci, 2021)

Linear unit-tests for invariance discovery. - Benjamin Aubin; Agnieszka Slowik; Martín Arjovsky; Léon Bottou; David Lopez-Paz (CoRR, 2021)

Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation. - Agnieszka Slowik; Léon Bottou (CoRR, 2021)

On the Relation between Distributionally Robust Optimization and Data Curation (Student Abstract). - Agnieszka Slowik; Léon Bottou; Sean B. Holden; Mateja Jamnik (AAAI, 2022)

On Distributionally Robust Optimization and Data Rebalancing. - Agnieszka Slowik; Léon Bottou (AISTATS, 2022)

Explaining CLIP's Performance Disparities on Data from Blind/Low Vision Users. - Daniela Massiceti; Camilla Longden; Agnieszka Slowik; Samuel Wills; Martin Grayson; Cecily Morrison (CVPR, 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)

Impact of interferon-β and dimethyl fumarate on nonlinear dynamical characteristics of electroencephalogram signatures in patients with multiple sclerosis. - Christopher Ivan Hernandez; Natalia Afek; Magda Gawlowska; Pawel Oswiecimka; Magdalena Fafrowicz; Agnieszka Slowik; Marcin Wnuk; Monika Marona; Klaudia Nowak; Kamila Zur-Wyrozumska; Mary Jean Amon; P. A. Hancock; et al. (Frontiers Neuroinformatics, 2025)