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Marcin Michalski
Marcin Michalski
Verified email at google.com
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Cited by
Year
Are gans created equal? a large-scale study
M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet
Advances in neural information processing systems 31, 2018
11332018
Towards accurate generative models of video: A new metric & challenges
T Unterthiner, S Van Steenkiste, K Kurach, R Marinier, M Michalski, ...
arXiv preprint arXiv:1812.01717, 2018
3432018
Google research football: A novel reinforcement learning environment
K Kurach, A Raichuk, P Stańczyk, M Zając, O Bachem, L Espeholt, ...
Proceedings of the AAAI conference on artificial intelligence 34 (04), 4501-4510, 2020
3222020
A large-scale study of representation learning with the visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
arXiv preprint arXiv:1910.04867, 2019
2502019
What matters in on-policy reinforcement learning? a large-scale empirical study
M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ...
arXiv preprint arXiv:2006.05990, 2020
1872020
A large-scale study on regularization and normalization in GANs
K Kurach, M Lučić, X Zhai, M Michalski, S Gelly
International conference on machine learning, 3581-3590, 2019
1872019
The gan landscape: Losses, architectures, regularization, and normalization
K Kurach, M Lucic, X Zhai, M Michalski, S Gelly
1612018
What matters for on-policy deep actor-critic methods? a large-scale study
M Andrychowicz, A Raichuk, P Stańczyk, M Orsini, S Girgin, R Marinier, ...
International conference on learning representations, 2020
1442020
Seed rl: Scalable and efficient deep-rl with accelerated central inference
L Espeholt, R Marinier, P Stanczyk, K Wang, M Michalski
arXiv preprint arXiv:1910.06591, 2019
1322019
Are GANs created equal
M Lucic, K Kurach, M Michalski, S Gelly, O Bousquet
A large-scale study. arXiv e-prints 2 (4), 2017
782017
FVD: A new metric for video generation
T Unterthiner, S van Steenkiste, K Kurach, R Marinier, M Michalski, ...
662019
The visual task adaptation benchmark
X Zhai, J Puigcerver, A Kolesnikov, P Ruyssen, C Riquelme, M Lucic, ...
632019
What matters in on-policy reinforcement learning
M Andrychowicz, A Raichuk, P Stanczyk, M Orsini, S Girgin, R Marinier, ...
A large-scale empirical study. CoRR, abs/2006.05990 3, 2020
292020
Failover operation on a replicated distributed database system while maintaining access invariance
JCW Visser, M Michalski, R Blum, SV Gheorghita, JM Andersen
US Patent 8,856,583, 2014
202014
Assessment of changes in blood lactate levels in children and adolescents with type 1 diabetes during a football tournament (GoalDiab Study)
J Flotyńska, A Gawrecki, A Araszkiewicz, M Parchimowicz, M Michalski, ...
Pediatric Endocrinology Diabetes and Metabolism 27 (4), 237-244, 2021
32021
SIO .NET Plug&Play Contest System
M Michalski, M Kosieradzki, W Rygielski, P Stańczyk, K Ciebiera, K Diks
Perspectives on Computer Science Competitions for (High School) Students, 2005
32005
Reinforcement learning with centralized inference and training
L Espeholt, K Wang, MM Michalski, PM Stanczyk, R Marinier
US Patent App. 17/764,066, 2022
2022
Assessment of factors influencing changes in blood lactate levels in children and adolescents with type 1 diabetes during a football tournament (GoalDiab Study)
J Flotynska, A Gawrecki, A Araszkiewicz, M Parchimowicz, M Michalski, ...
DIABETOLOGIA 64 (SUPPL 1), 186-187, 2021
2021
MemGEN: Memory is All You Need
S Gelly, K Kurach, M Michalski, X Zhai
arXiv preprint arXiv:1803.11203, 2018
2018
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Articles 1–19