| 2025 | EMNLP | Can Large Language Models Outperform Non-Experts in Poetry Evaluation? A Comparative Study Using the Consensual Assessment Technique. | Piotr Sawicki, Marek Grzes, Dan Brown, Fabrcio Ges |
| 2023 | ICLR | The Polarised Regime of identifiable Variational Autoencoders. | Lisa Bonheme, Marek Grzes |
| 2023 | ICMLA | Posterior Collapse in Variational Gradient Origin Networks. | Peter Clapham, Marek Grzes |
| 2019 | ICSE | Self-adaptive artificial intelligence. | Rogrio de Lemos, Marek Grzes |
| 2019 | SMC | Comparing Explanations between Random Forests and Artificial Neural Networks. | Lee Harris, Marek Grzes |
| 2018 | AAAI | Improving Language Modelling with Noise Contrastive Estimation. | Farhana Ferdousi Liza, Marek Grzes |
| 2016 | AIMSA | Estimating the Accuracy of Spectral Learning for HMMs. | Farhana Ferdousi Liza, Marek Grzes |
| 2013 | IJCAI | Isomorph-Free Branch and Bound Search for Finite State Controllers. | Marek Grzes, Pascal Poupart, Jesse Hoey |
| 2013 | IJCNN | On the convergence of techniques that improve value iteration. | Marek Grzes, Jesse Hoey |
| 2012 | AAMAS | Analysis of methods for solving MDPs. | Marek Grzes, Jesse Hoey |
| 2009 | ICMLA | Theoretical and Empirical Analysis of Reward Shaping in Reinforcement Learning. | Marek Grzes, Daniel Kudenko |
| 2008 | AIMSA | Robustness Analysis of SARSA(lambda): Different Models of Reward and Initialisation. | Marek Grzes, Daniel Kudenko |
| 2008 | ICAISC | An Empirical Analysis of the Impact of Prioritised Sweeping on the DynaQ's Performance. | Marek Grzes, Daniel Kudenko |
| 2008 | ICANN | Multigrid Reinforcement Learning with Reward Shaping. | Marek Grzes, Daniel Kudenko |
| 2006 | DaWaK | Mixed Decision Trees: An Evolutionary Approach. | Marek Kretowski, Marek Grzes |
| 2006 | ICAISC | Evolutionary Learning of Linear Trees with Embedded Feature Selection. | Marek Kretowski, Marek Grzes |
| 2006 | ISMIS | Evolutionary Induction of Cost-Sensitive Decision Trees. | Marek Kretowski, Marek Grzes |