skip to content

Department of Computer Science and Technology

  • PhD Student

Research areas:

  • Out-of-distribution generalisation in machine learning:
    • Learning invariant features across multiple training distributions
    • Applications in healthcare and fairness
  • Multi-agent communication:
    • Emergent communication in referential games
  • Graph representation learning
  • Visual relational reasoning


Conference publications:

Słowik A., Bottou L. (2021) Algorithmic Bias and Data Bias: Understanding the Relation between Distributionally Robust Optimization and Data Curation. Under review.

Lamb A., Goyal A., Słowik A., Beaudoin P., Mozer M., Bengio Y. (2020) Neural Function Modules with Sparse Arguments: A Dynamic Approach to Integrating Information across Layers. The 24th International Conference on Artificial Intelligence and Statistics (AISTATS 2021).

Słowik A.*,  Gupta, A.*, Hamilton, W. L., Jamnik, M., Holden, S. B., Pal, C. (2020) Structural Inductive Biases in Emergent Communication. Proceedings of The 43rd Annual Meeting of the Cognitive Science Society (CogSci 2021). 

Danel T., Spurek P., Tabor J., Śmieja M., Struski Ł., Słowik A., Maziarka Ł. (2019) Spatial Graph Convolutional Networks. International Conference on Neural Information Processing (ICONIP 2020).

Słowik A., Mangla C., Jamnik M., Holden S. B., Paulson L. C. (2019) Bayesian Optimisation for Heuristic Configuration in Automated Theorem Proving (Student Abstract). The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020).

Workshop presentations:

Aubin B., Słowik A., Arjovsky M., Bottou L., Lopez-Paz D. (2020) Linear unit-tests for invariance discovery. NeurIPS Workshop on Causal Discovery and Causality-Inspired Machine Learning.

Guo S., Ren Y., Słowik A., Mathewson K. (2020) Inductive Bias and Language Expressivity in Emergent Communication. 4th NeurIPS Workshop on Emergent Communication: Talking to Strangers: Zero-Shot Emergent Communication.

Gupta* A., Słowik* A., Hamilton W. L., Jamnik M., Holden S. B., Pal C. (2020) Analyzing Structural Priors in Multi-Agent Communication. Workshop on Adaptive and Learning Agents at AAMAS 2020.

Słowik* A., Gupta* A., Hamilton W. L., Jamnik M., Holden S. B. (2020) Towards Graph Representation Learning in Emergent Communication. Workshop on Reinforcement Learning in Games at AAAI 2020.

Antoniou A., Słowik A., Crowley E. J., Storkey A. J. (2018) Dilated DenseNets for Relational Reasoning. Women in Machine Learning Workshop at NeurIPS 2018 (WiML 2018), Theoretical Foundations of Machine Learning (TFML 2019), Transylvanian Machine Learning Summer School (TMLSS).

Contact Details

Office phone: 
(01223) 7-63758