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ORCIDMarcin Michalski
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2020 – today
- 2023
[j4]Marcin Michalski
, Robert Ralowski, Szymon Zeberski:
Ideals with Smital properties. Arch. Math. Log. 62(5-6): 831-842 (2023)- 2021
- [j3]Marcin Michalski, Robert Ralowski, Szymon Zeberski:
Mycielski among trees. Math. Log. Q. 67(3): 271-281 (2021) - [c7]Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem:
What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study. ICLR 2021 - 2020
- [j2]Marcin Michalski, Robert Ralowski, Szymon Zeberski:
Nonmeasurable Sets and Unions with respect to Tree ideals. Bull. Symb. Log. 26(1): 1-14 (2020) - [c6]Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly:
Google Research Football: A Novel Reinforcement Learning Environment. AAAI 2020: 4501-4510 - [c5]Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski:
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. ICLR 2020 - [i8]Marcin Andrychowicz, Anton Raichuk, Piotr Stanczyk, Manu Orsini, Sertan Girgin, Raphaël Marinier, Léonard Hussenot, Matthieu Geist, Olivier Pietquin, Marcin Michalski, Sylvain Gelly, Olivier Bachem:
What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study. CoRR abs/2006.05990 (2020)
2010 – 2019
- 2019
- [c4]Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly:
FVD: A new Metric for Video Generation. DGS@ICLR 2019 - [c3]Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly:
A Large-Scale Study on Regularization and Normalization in GANs. ICML 2019: 3581-3590 - [i7]Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly:
Google Research Football: A Novel Reinforcement Learning Environment. CoRR abs/1907.11180 (2019) - [i6]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:
The Visual Task Adaptation Benchmark. CoRR abs/1910.04867 (2019) - [i5]Lasse Espeholt, Raphaël Marinier, Piotr Stanczyk, Ke Wang, Marcin Michalski:
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. CoRR abs/1910.06591 (2019) - 2018
- [c2]Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet:
Are GANs Created Equal? A Large-Scale Study. NeurIPS 2018: 698-707 - [i4]Sylvain Gelly, Karol Kurach, Marcin Michalski, Xiaohua Zhai:
MemGEN: Memory is All You Need. CoRR abs/1803.11203 (2018) - [i3]Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly:
The GAN Landscape: Losses, Architectures, Regularization, and Normalization. CoRR abs/1807.04720 (2018) - [i2]Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly:
Towards Accurate Generative Models of Video: A New Metric & Challenges. CoRR abs/1812.01717 (2018) - 2017
- [i1]Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet:
Are GANs Created Equal? A Large-Scale Study. CoRR abs/1711.10337 (2017) - 2016
- [j1]Milosz Kadzinski, Marcin Michalski:
Scoring procedures for multiple criteria decision aiding with robust and stochastic ordinal regression. Comput. Oper. Res. 71: 54-70 (2016) - 2011
- [c1]Andrzej Kobylinski, Marcin Michalski:
Cloud Computing and Economic Growth in the Baltic Sea Region Countries. BIR 2011: 296-303
Coauthor Index
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