Cloud Computing and Economic Growth in the Baltic Sea Region Countries. - Andrzej Kobylinski; Marcin Michalski (BIR, 2011)

Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression. - Milosz Kadzinski; Marcin Michalski (Comput. Oper. Res., 2016)

Are GANs Created Equal? A Large-Scale Study. - Mario Lucic; Karol Kurach; Marcin Michalski; Sylvain Gelly; Olivier Bousquet (NeurIPS, 2018)

MemGEN: Memory is All You Need. - Sylvain Gelly; Karol Kurach; Marcin Michalski; Xiaohua Zhai (CoRR, 2018)

The GAN Landscape: Losses, Architectures, Regularization, and Normalization. - Karol Kurach; Mario Lucic; Xiaohua Zhai; Marcin Michalski; Sylvain Gelly (CoRR, 2018)

Towards Accurate Generative Models of Video: A New Metric & Challenges. - Thomas Unterthiner; Sjoerd van Steenkiste; Karol Kurach; Raphaël Marinier; Marcin Michalski; Sylvain Gelly (CoRR, 2018)

FVD: A new Metric for Video Generation. - Thomas Unterthiner; Sjoerd van Steenkiste; Karol Kurach; Raphaël Marinier; Marcin Michalski; Sylvain Gelly (DGS@ICLR, 2019)

A Large-Scale Study on Regularization and Normalization in GANs. - Karol Kurach; Mario Lucic; Xiaohua Zhai; Marcin Michalski; Sylvain Gelly (ICML, 2019)

The Visual Task Adaptation Benchmark. - Xiaohua Zhai; Joan Puigcerver; Alexander Kolesnikov 003; Pierre Ruyssen; Carlos Riquelme; Mario Lucic; Josip Djolonga; André Susano Pinto; Maxim Neumann; Alexey Dosovitskiy; Lucas Beyer; Olivier Bachem; et al. (CoRR, 2019)

Google Research Football: A Novel Reinforcement Learning Environment. - Karol Kurach; Anton Raichuk; Piotr Stanczyk; Michal Zajac 005; Olivier Bachem; Lasse Espeholt; Carlos Riquelme; Damien Vincent; Marcin Michalski; Olivier Bousquet; Sylvain Gelly (AAAI, 2020)

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. - Lasse Espeholt; Raphaël Marinier; Piotr Stanczyk; Ke Wang; Marcin Michalski (ICLR, 2020)

Nonmeasurable Sets and Unions with respect to Tree ideals. - Marcin Michalski; Robert Ralowski; Szymon Zeberski (Bull. Symb. Log., 2020)

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. - Marcin Andrychowicz; Anton Raichuk; Piotr Stanczyk; Manu Orsini; Sertan Girgin; Raphaël Marinier; Léonard Hussenot; Matthieu Geist; Olivier Pietquin; Marcin Michalski; Sylvain Gelly; Olivier Bachem (CoRR, 2020)

What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. - Marcin Andrychowicz; Anton Raichuk; Piotr Stanczyk; Manu Orsini; Sertan Girgin; Raphaël Marinier; Léonard Hussenot; Matthieu Geist; Olivier Pietquin; Marcin Michalski; Sylvain Gelly; Olivier Bachem (ICLR, 2021)

Mycielski among trees. - Marcin Michalski; Robert Ralowski; Szymon Zeberski (Math. Log. Q., 2021)

Ideals with Smital properties. - Marcin Michalski; Robert Ralowski; Szymon Zeberski (Arch. Math. Log., 2023)

On algebraic sums, trees and ideals in the Baire space. - Lukasz Mazurkiewicz; Marcin Michalski; Robert Ralowski; Szymon Zeberski (Arch. Math. Log., 2025)