Marcin Michalski

According to our database, Marcin Michalski authored at least 16 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Ideals with Smital properties.

Marcin Michalski, Robert Ralowski, Szymon Zeberski

Arch. Math. Log., July, 2023

2021

Mycielski among trees.

Marcin Michalski, Robert Ralowski, Szymon Zeberski

Math. Log. Q., 2021

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

Proceedings of the 9th International Conference on Learning Representations, 2021

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

Nonmeasurable Sets and Unions with respect to Tree ideals.

Marcin Michalski, Robert Ralowski, Szymon Zeberski

Bull. Symb. Log., 2020

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference.

Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski

Proceedings of the 8th International Conference on Learning Representations, 2020

Google Research Football: A Novel Reinforcement Learning Environment.

Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

The Visual Task Adaptation Benchmark.

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

CoRR, 2019

A Large-Scale Study on Regularization and Normalization in GANs.

Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly

Proceedings of the 36th International Conference on Machine Learning, 2019

FVD: A new Metric for Video Generation.

Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

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

The GAN Landscape: Losses, Architectures, Regularization, and Normalization.

Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly

CoRR, 2018

MemGEN: Memory is All You Need.

Sylvain Gelly, Karol Kurach, Marcin Michalski, Xiaohua Zhai

CoRR, 2018

Are GANs Created Equal? A Large-Scale Study.

Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2016

Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression.

Milosz Kadzinski, Marcin Michalski

Comput. Oper. Res., 2016

2011

Cloud Computing and Economic Growth in the Baltic Sea Region Countries.

Andrzej Kobylinski, Marcin Michalski

Proceedings of the Perspectives in Business Informatics Research, 2011