Marcin Michalski

22 papers A* 5Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Around the Eggleston Theorem. Arch. Math. Log. Marcin Michalski, Robert Ralowski, Szymon Zeberski
2026	J	`jnl`	On algebraic sums, trees and ideals in the Cantor space. Ann. Pure Appl. Log. Marcin Michalski, Robert Ralowski, Szymon Zeberski
2025	J	`jnl`	On algebraic sums, trees and ideals in the Baire space. Arch. Math. Log. Lukasz Mazurkiewicz, Marcin Michalski, Robert Ralowski, Szymon Zeberski
2023	J	`jnl`	Ideals with Smital properties. Arch. Math. Log. Marcin Michalski, Robert Ralowski, Szymon Zeberski
2021	J	`jnl`	Mycielski among trees. Math. Log. Q. Marcin Michalski, Robert Ralowski, Szymon Zeberski
2021	A*	`conf`	What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. ICLR Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
2020	A*	`conf`	Google Research Football: A Novel Reinforcement Learning Environment. AAAI Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2020	J	`jnl`	Nonmeasurable Sets and Unions with respect to Tree ideals. Bull. Symb. Log. Marcin Michalski, Robert Ralowski, Szymon Zeberski
2020	A*	`conf`	SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. ICLR Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski
2020	J	`jnl`	What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. CoRR Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem
2019	A*	`conf`	A Large-Scale Study on Regularization and Normalization in GANs. ICML Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly
2019	—	`conf`	FVD: A new Metric for Video Generation. DGS@ICLR Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
2019	J	`jnl`	Google Research Football: A Novel Reinforcement Learning Environment. CoRR Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2019	J	`jnl`	SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. CoRR Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski
2019	J	`jnl`	The Visual Task Adaptation Benchmark. CoRR Xiaohua Zhai, Joan Puigcerver, Alexander Kolesnikov, Pierre Ruyssen, Carlos Riquelme, Mario Lucic, Josip Djolonga, André Susano Pinto, Maxim Neumann, Alexey Dosovitskiy, Lucas Beyer, Olivier Bachem, Michael Tschannen, Marcin Michalski, Olivier Bousquet, Sylvain Gelly, Neil Houlsby
2018	A*	`conf`	Are GANs Created Equal? A Large-Scale Study. NeurIPS Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet
2018	J	`jnl`	MemGEN: Memory is All You Need. CoRR Sylvain Gelly, Karol Kurach, Marcin Michalski, Xiaohua Zhai
2018	J	`jnl`	The GAN Landscape: Losses, Architectures, Regularization, and Normalization. CoRR Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly
2018	J	`jnl`	Towards Accurate Generative Models of Video: A New Metric & Challenges. CoRR Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
2017	J	`jnl`	Are GANs Created Equal? A Large-Scale Study. CoRR Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet
2016	J	`jnl`	Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression. Comput. Oper. Res. Milosz Kadzinski, Marcin Michalski
2011	—	`conf`	Cloud Computing and Economic Growth in the Baltic Sea Region Countries. BIR Andrzej Kobylinski, Marcin Michalski