Marcin Michalski

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All published works (25)

Action	Title	Date	Authors
+	On algebraic sums, trees and ideals in the Baire space	2025-02-24	Łukasz Mazurkiewicz Marcin Michalski Robert Rałowski Szymon Żeberski
+ PDF Ask	On algebraic sums, trees and ideals in the Baire space	2024-09-26	Łukasz Mazurkiewicz Marcin Michalski Robert Rałowski Szymon Żeberski
+ PDF Ask	On algebraic sums, trees and ideals in the Cantor space	2024-05-22	Marcin Michalski Robert Rałowski Szymon Żeberski
+ PDF Ask	Around Eggleston Theorem	2023-01-01	Marcin Michalski Robert Rałowski Szymon Żeberski
+ PDF Ask	Ideals with Smital properties	2021-01-01	Marcin Michalski Robert Rałowski Szymon Żeberski
+ PDF Ask	Google Research Football: A Novel Reinforcement Learning Environment	2020-04-03	Karol Kurach Anton Raichuk Piotr Stańczyk Michał Zając Olivier Bachem Lasse Espeholt Carlos Riquelme Damien Vincent Marcin Michalski Olivier Bousquet
+ PDF Ask	What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study	2020-01-01	Marcin Andrychowicz Anton Raichuk Piotr Stańczyk Manu Orsini Sertan Girgin Raphaël Marinier Léonard Hussenot Matthieu Geist Olivier Pietquin Marcin Michalski
+	SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference	2019-10-15	Lasse Espeholt Raphaël Marinier Piotr Stańczyk Ke Wang Marcin Michalski
+ PDF Ask	The Visual Task Adaptation Benchmark	2019-09-25	Xiaohua Zhai Joan Puigcerver Alexander Kolesnikov Pierre Ruyssen Carlos Riquelme Mario Lučić Josip Djolonga André Susano Pinto Maxim Neumann Alexey Dosovitskiy
+	Google Research Football: A Novel Reinforcement Learning Environment	2019-07-25	Karol Kurach Anton Raichuk Piotr Stańczyk Michał Zając Olivier Bachem Lasse Espeholt Carlos Riquelme Damien Vincent Marcin Michalski Olivier Bousquet
+ PDF Ask	SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference	2019-01-01	Lasse Espeholt Raphaël Marinier Piotr Stańczyk Ke Wang Marcin Michalski
+ PDF Ask	A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark	2019-01-01	Xiaohua Zhai Joan Puigcerver Alexander Kolesnikov Pierre Ruyssen Carlos Riquelme Mario Lučić Josip Djolonga André Susano Pinto Maxim Neumann Alexey Dosovitskiy
+ PDF Ask	Mycielski among trees	2019-01-01	Marcin Michalski Robert Rałowski Szymon Żeberski
+ PDF Ask	A note on sets avoiding rational distances	2019-01-01	Marcin Michalski
+ PDF Ask	Google Research Football: A Novel Reinforcement Learning Environment	2019-01-01	Karol Kurach Anton Raichuk Piotr Stańczyk Michał Zając Olivier Bachem Lasse Espeholt Carlos Riquelme Damien Vincent Marcin Michalski Olivier Bousquet
+ PDF Ask	Towards Accurate Generative Models of Video: A New Metric & Challenges	2018-12-03	Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly
+	A Large-Scale Study on Regularization and Normalization in GANs	2018-07-12	Karol Kurach Mario Lučić Xiaohua Zhai Marcin Michalski Sylvain Gelly
+ PDF Ask	The GAN Landscape: Losses, Architectures, Regularization, and Normalization	2018-06-05	Karol Kurach Mario Lučić Xiaohua Zhai Marcin Michalski Sylvain Gelly
+ PDF Ask	MemGEN: Memory is All You Need.	2018-03-29	Sylvain Gelly Karol Kurach Marcin Michalski Xiaohua Zhai
+ PDF Ask	A Large-Scale Study on Regularization and Normalization in GANs	2018-01-01	Karol Kurach Mario Lučić Xiaohua Zhai Marcin Michalski Sylvain Gelly
+ PDF Ask	MemGEN: Memory is All You Need	2018-01-01	Sylvain Gelly Karol Kurach Marcin Michalski Xiaohua Zhai
+ PDF Ask	Towards Accurate Generative Models of Video: A New Metric & Challenges	2018-01-01	Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly
+ PDF Ask	Are GANs Created Equal? A Large-Scale Study	2017-11-28	Mario Lučić Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet
+ PDF Ask	Are GANs Created Equal? A Large-Scale Study	2017-01-01	Mario Lučić Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet
+ PDF Ask	Faster Than Light Communication	1999-01-01	Marcin Michalski

Common Coauthors

Coauthor	Papers Together
Sylvain Gelly	15
Karol Kurach	12
Mario Lučić	7
Xiaohua Zhai	7
Olivier Bousquet	7
Robert Rałowski	6
Olivier Bachem	6
Piotr Stańczyk	6
Szymon Żeberski	6
Raphaël Marinier	5
Lasse Espeholt	5
Anton Raichuk	4
Carlos Riquelme	4
Michał Zając	3
Damien Vincent	3
Alexander Kolesnikov	2
Sjoerd van Steenkiste	2
Joan Puigcerver	2
Josip Djolonga	2
Pierre Ruyssen	2
Łukasz Mazurkiewicz	2
Ke Wang	2
Lucas Beyer	2
Neil Houlsby	2
Thomas Unterthiner	2
Michael Tschannen	2
Alexey Dosovitskiy	2
André Susano Pinto	2
Maxim Neumann	2
Marcin Andrychowicz	1
Manu Orsini	1
Matthieu Geist	1
Léonard Hussenot	1
Carlos Riquelme	1
Olivier Pietquin	1
Sertan Girgin	1

Commonly Cited References

Action	Title	Date	Authors	# of times referenced
+ PDF Ask	StarCraft II: A New Challenge for Reinforcement Learning	2017-01-01	Oriol Vinyals Timo Ewalds Sergey Bartunov Petko Georgiev Alexander Sasha Vezhnevets Michelle Yeo Alireza Makhzani Heinrich Küttler John Agapiou Julian Schrittwieser	5
+ PDF Ask	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018-01-01	Andrew Brock Jeff Donahue Karen Simonyan	4
+ PDF Ask	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013-06-14	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	4
+ PDF Ask	Adam: A Method for Stochastic Optimization	2014-01-01	Diederik P. Kingma Jimmy Ba	4
+ PDF Ask	Proximal Policy Optimization Algorithms	2017-01-01	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	3
+ PDF Ask	Are GANs Created Equal? A Large-Scale Study	2017-01-01	Mario Lučić Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet	3
+ PDF Ask	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015-01-01	Alec Radford Luke Metz Soumith Chintala	3
+ PDF Ask	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017-01-01	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	3
+ PDF Ask	Rainbow: Combining Improvements in Deep Reinforcement Learning	2018-04-29	Matteo Hessel Joseph Modayil Hado van Hasselt Tom Schaul Georg Ostrovski Will Dabney Dan Horgan Bilal Piot Mohammad Gheshlaghi Azar David Silver	3
+ PDF Ask	Soft Actor-Critic Algorithms and Applications	2018-01-01	Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel	3
+ PDF Ask	Asynchronous Methods for Deep Reinforcement Learning	2016-01-01	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	2
+ PDF Ask	GPU-Accelerated Atari Emulation for Reinforcement Learning	2019-07-19	Steven Dalton Iuri Frosio Michael Garland	2
+ PDF Ask	Least Squares Generative Adversarial Networks	2017-10-01	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	2
+ PDF Ask	TorchBeast: A PyTorch Platform for Distributed RL	2019-01-01	Heinrich Küttler Nantas Nardelli Thibaut Lavril Marco Selvatici Viswanath Sivakumar Tim Rocktäschel Edward Grefenstette	2
+ PDF Ask	On Convergence and Stability of GANs	2018-02-15	Naveen Kodali James Hays Jacob Abernethy Zsolt Kira	2
+ PDF Ask	Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents	2018-03-19	Marlos C. Machado Marc G. Bellemare Erik Talvitie Joel Veness Matthew Hausknecht Michael Bowling	2
+ PDF Ask	LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop	2015-01-01	Fisher Yu Yinda Zhang Shuran Song Ari Seff Jianxiong Xiao	2
+ PDF Ask	A Style-Based Generator Architecture for Generative Adversarial Networks	2019-06-01	Tero Karras Samuli Laine Timo Aila	2
+ PDF Ask	ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst	2019-06-22	Mayank Bansal Alex Krizhevsky Abhijit S. Ogale	2
+ PDF Ask	cuDNN: Efficient Primitives for Deep Learning	2014-10-03	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	2
+ PDF Ask	Neural Replicator Dynamics	2019-01-01	Shayegan Omidshafiei Daniel Hennes Dustin Morrill Rémi Munos Julien Pérolat Marc Lanctot Audrūnas Gruslys Jean-Baptiste Lespiau Karl Tuyls	2
+ PDF Ask	Fast Task Inference with Variational Intrinsic Successor Features	2019-06-12	Steven Hansen Will Dabney André Barreto Tom Van de Wiele David Warde-Farley Volodymyr Mnih	2
+ PDF Ask	Improved Techniques for Training GANs	2016-01-01	Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen	2
+ PDF Ask	Prioritized Experience Replay	2015-01-01	Tom Schaul John Quan Ioannis Antonoglou David Silver	2
+ PDF Ask	Spectral Normalization for Generative Adversarial Networks	2018-02-15	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	2
+ PDF Ask	The Hanabi challenge: A new frontier for AI research	2019-11-27	Nolan Bard Jakob Foerster Sarath Chandar Neil Burch Marc Lanctot Hai-Jing Song Emilio Parisotto Vincent Dumoulin Subhodeep Moitra Edward Hughes	2
+ PDF Ask	Pros and cons of GAN evaluation measures	2018-11-27	Ali Borji	2
+ PDF Ask	Generative Adversarial Self-Imitation Learning	2018-01-01	Junhyuk Oh Yijie Guo Satinder Singh Honglak Lee	2
+ PDF Ask	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017-01-01	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	2
+ PDF Ask	rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch.	2019-09-03	Adam Stooke Pieter Abbeel	2
+ PDF Ask	Multi-Task Deep Reinforcement Learning with PopArt	2019-07-17	Matteo Hessel Hubert Soyer Lasse Espeholt Wojciech Marian Czarnecki Simon Schmitt Hado van Hasselt	2
+ PDF Ask	Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations	2018-01-01	Francesco Locatello Stefan Bauer Mario Lučić Gunnar Rätsch Sylvain Gelly Bernhard Schölkopf Olivier Bachem	2
+ PDF Ask	Self-Attention Generative Adversarial Networks	2018-01-01	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	2
+ PDF Ask	Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour	2017-01-01	Priya Goyal Piotr Dollár Ross Girshick Pieter Noordhuis Lukasz Wesolowski Aapo Kyrola Andrew Tulloch Yangqing Jia Kaiming He	2
+ PDF Ask	Observe and Look Further: Achieving Consistent Performance on Atari	2018-01-01	Tobias Pohlen Bilal Piot Todd Hester Mohammad Gheshlaghi Azar Dan Horgan David Budden Gabriel Barth-Maron Hado van Hasselt John Quan Mel Vecerík	2
+ PDF Ask	DeepMind Control Suite	2018-01-01	Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li Diego de Las Casas David Budden Abbas Abdolmaleki Josh Merel Andrew Lefrancq	2
+ PDF Ask	Deep Residual Learning for Image Recognition	2016-06-01	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Ask	Self-Supervised Generative Adversarial Networks	2018-11-27	Ting Chen Xiaohua Zhai Marvin Ritter Mario Lučić Neil Houlsby	2
+ PDF Ask	Massively Parallel Methods for Deep Reinforcement Learning	2015-01-01	Arun Sukumaran Nair P. Srinivasan Sam Blackwell Cagdas Alcicek Rory Fearon Alessandro De Maria Vedavyas Panneershelvam Mustafa Suleyman Charles Beattie Stig Petersen	2
+ PDF Ask	Scaling SGD Batch Size to 32K for ImageNet Training.	2017-08-13	Yang You Igor Gitman Boris Ginsburg	2
+ PDF Ask	Accelerated Methods for Deep Reinforcement Learning	2018-01-01	Adam Stooke Pieter Abbeel	2
+ PDF Ask	Large Batch Training of Convolutional Networks	2017-01-01	Yang You Igor Gitman Boris Ginsburg	2
+	Representation Learning with Contrastive Predictive Coding	2018-07-10	Aäron van den Oord Yazhe Li Oriol Vinyals	2
+	Exploiting Hierarchy for Learning and Transfer in KL-regularized RL	2019-03-18	Dhruva Tirumala Hyeonwoo Noh Alexandre Galashov Leonard Hasenclever Arun Ahuja Greg Wayne Razvan Pascanu Yee Whye Teh Nicolas Heess	2
+ PDF Ask	Revisiting Distributed Synchronous SGD	2017-01-01	Jianmin Chen Rajat Monga Samy Bengio Rafał Józefowicz	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015-02-11	Sergey Ioffe Christian Szegedy	2
+ PDF Ask	An Empirical Model of Large-Batch Training	2018-01-01	Sam McCandlish Jared Kaplan Dario Amodei OpenAI Dota Team	2
+	Google Research Football: A Novel Reinforcement Learning Environment	2019-07-25	Karol Kurach Anton Raichuk Piotr Stańczyk Michał Zając Olivier Bachem Lasse Espeholt Carlos Riquelme Damien Vincent Marcin Michalski Olivier Bousquet	2
+ PDF Ask	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning	2017-01-01	Felipe Petroski Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune	2
+ PDF Ask	Stopping GAN Violence: Generative Unadversarial Networks	2017-03-07	Samuel Albanie Sébastien Ehrhardt João F. Henriques	1