Karol Kurach

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All published works

Action	Title	Year	Authors
+ PDF Chat	Investigating object compositionality in Generative Adversarial Networks	2020	Sjoerd van Steenkiste Karol Kurach Jürgen Schmidhuber Sylvain Gelly
+ PDF Chat	Google Research Football: A Novel Reinforcement Learning Environment	2020	Karol Kurach Anton Raichuk Piotr Stańczyk Michał Zając Olivier Bachem Lasse Espeholt Carlos Riquelme Damien Vincent Marcin Michalski Olivier Bousquet
+ PDF Chat	Adversarial autoencoders for compact representations of 3D point clouds	2020	Maciej Zamorski Maciej Zięba Piotr Klukowski Rafał Nowak Karol Kurach Wojciech Stokowiec T. P. Trzcinski
+	Google Research Football: A Novel Reinforcement Learning Environment	2019	Karol Kurach Anton Raichuk Piotr Stańczyk Michał Zając Olivier Bachem Lasse Espeholt Carlos Riquelme Damien Vincent Marcin Michalski Olivier Bousquet
+	Google Research Football: A Novel Reinforcement Learning Environment	2019	Karol Kurach Anton Raichuk Piotr Stańczyk Michał Zając Olivier Bachem Lasse Espeholt Carlos Riquelme Damien Vincent Marcin Michalski Olivier Bousquet
+	Towards Accurate Generative Models of Video: A New Metric & Challenges	2018	Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly
+	A Large-Scale Study on Regularization and Normalization in GANs	2018	Karol Kurach Mario Lučić Xiaohua Zhai Marcin Michalski Sylvain Gelly
+	The GAN Landscape: Losses, Architectures, Regularization, and Normalization	2018	Karol Kurach Mario Lučić Xiaohua Zhai Marcin Michalski Sylvain Gelly
+	MemGEN: Memory is All You Need.	2018	Sylvain Gelly Karol Kurach Marcin Michalski Xiaohua Zhai
+	Adversarial Autoencoders for Compact Representations of 3D Point Clouds	2018	Maciej Zamorski Maciej Zięba Piotr Klukowski Rafał Nowak Karol Kurach Wojciech Stokowiec T. P. Trzcinski
+	A Large-Scale Study on Regularization and Normalization in GANs	2018	Karol Kurach Mario Lučić Xiaohua Zhai Marcin Michalski Sylvain Gelly
+	MemGEN: Memory is All You Need	2018	Sylvain Gelly Karol Kurach Marcin Michalski Xiaohua Zhai
+	Towards Accurate Generative Models of Video: A New Metric & Challenges	2018	Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly
+	Are GANs Created Equal? A Large-Scale Study	2017	Mario Lučić Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet
+	Better Text Understanding Through Image-To-Text Transfer	2017	Karol Kurach Sylvain Gelly Michał Jastrzębski Philip Haeusser Olivier Teytaud Damien Vincent Olivier Bousquet
+	Toward Optimal Run Racing: Application to Deep Learning Calibration	2017	Olivier Bousquet Sylvain Gelly Karol Kurach Marc Schoenauer Michèle Sébag Olivier Teytaud Damien Vincent
+	Critical Hyper-Parameters: No Random, No Cry	2017	Olivier Bousquet Sylvain Gelly Karol Kurach Olivier Teytaud Damien Vincent
+	Are GANs Created Equal? A Large-Scale Study	2017	Mario Lučić Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet
+	Learning Efficient Algorithms with Hierarchical Attentive Memory	2016	Marcin Andrychowicz Karol Kurach
+	Smart Reply: Automated Response Suggestion for Email	2016	Anjuli Kannan Karol Kurach Sujith Ravi Tobias Kaufmann Andrew Tomkins Miklós Bálint Greg S. Corrado Lukács László Marina Ganea Peter Young
+	Adding Gradient Noise Improves Learning for Very Deep Networks	2015	Arvind Neelakantan Luke Vilnis Quoc V. Le Ilya Sutskever Łukasz Kaiser Karol Kurach James Martens
+	Neural Random-Access Machines	2015	Karol Kurach Marcin Andrychowicz Ilya Sutskever
+	Adding Gradient Noise Improves Learning for Very Deep Networks	2015	Arvind Neelakantan Luke Vilnis Quoc V. Le Ilya Sutskever Łukasz Kaiser Karol Kurach James Martens
+	Neural Random-Access Machines	2015	Karol Kurach Marcin Andrychowicz Ilya Sutskever
+	Learning to Discover Efficient Mathematical Identities	2014	Wojciech Zaremba Karol Kurach Rob Fergus
+	Learning to Discover Efficient Mathematical Identities	2014	Wojciech Zaremba Karol Kurach Rob Fergus

Common Coauthors

Coauthor	Papers Together
Sylvain Gelly	16
Marcin Michalski	12
Olivier Bousquet	8
Damien Vincent	6
Mario Lučić	5
Xiaohua Zhai	5
Ilya Sutskever	4
Sjoerd van Steenkiste	3
Lasse Espeholt	3
Piotr Stańczyk	3
Anton Raichuk	3
Michał Zając	3
Olivier Teytaud	3
Olivier Bachem	3
Marcin Andrychowicz	3
Łukasz Kaiser	2
Raphaël Marinier	2
Arvind Neelakantan	2
Luke Vilnis	2
Maciej Zamorski	2
Wojciech Stokowiec	2
Tomasz Trzciński	2
Wojciech Zaremba	2
Thomas Unterthiner	2
Maciej Zięba	2
Quoc V. Le	2
Rob Fergus	2
James Martens	2
Carlos Riquelme	2
Piotr Klukowski	2
Miklós Bálint	1
Anjuli Kannan	1
Philip Haeusser	1
Rafał Nowak	1
Rafał Nowak	1
Marc Schoenauer	1
Marina Ganea	1
Carlos Riquelme	1
Sujith Ravi	1
Michał Jastrzębski	1
Lukács László	1
Tobias Kaufmann	1
Vivek Ramavajjala	1
Andrew Tomkins	1
Greg S. Corrado	1
Peter Young	1
Jürgen Schmidhuber	1
Michèle Sébag	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Are GANs Created Equal? A Large-Scale Study	2017	Mario Lučić Karol Kurach Marcin Michalski Sylvain Gelly Olivier Bousquet	4
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	4
+	Large Scale GAN Training for High Fidelity Natural Image Synthesis	2018	Andrew Brock Jeff Donahue Karen Simonyan	3
+	Neural Machine Translation by Jointly Learning to Align and Translate	2015	Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio	3
+	End-To-End Memory Networks	2015	Sainbayar Sukhbaatar Arthur Szlam Jason Weston Rob Fergus	3
+	StarCraft II: A New Challenge for Reinforcement Learning	2017	Oriol Vinyals Timo Ewalds Sergey Bartunov Petko Georgiev Alexander Sasha Vezhnevets Michelle Yeo Alireza Makhzani Heinrich Küttler John Agapiou Julian Schrittwieser	3
+	Neural Turing Machines	2014	Alex Graves Greg Wayne Ivo Danihelka	3
+ PDF Chat	Show and tell: A neural image caption generator	2015	Oriol Vinyals Alexander Toshev Samy Bengio Dumitru Erhan	3
+	GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium	2017	Martin Heusel Hubert Ramsauer Thomas Unterthiner Bernhard Nessler Sepp Hochreiter	3
+	Spectral Normalization for Generative Adversarial Networks	2018	Takeru Miyato Toshiki Kataoka Masanori Koyama Yuichi Yoshida	3
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	3
+	LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop	2015	Fisher Yu Yinda Zhang Shuran Song Ari Seff Jianxiong Xiao	2
+	Neural GPUs Learn Algorithms	2015	Łukasz Kaiser Ilya Sutskever	2
+	Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks	2015	Alec Radford Luke Metz Soumith Chintala	2
+	Improving neural networks by preventing co-adaptation of feature detectors	2012	Geoffrey E. Hinton Nitish Srivastava Alex Krizhevsky Ilya Sutskever Ruslan Salakhutdinov	2
+ PDF Chat	Rethinking the Inception Architecture for Computer Vision	2016	Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jon Shlens Zbigniew Wojna	2
+ PDF Chat	The Arcade Learning Environment: An Evaluation Platform for General Agents	2013	Marc G. Bellemare Yavar Naddaf Joel Veness Michael Bowling	2
+ PDF Chat	Image-to-Image Translation with Conditional Adversarial Networks	2017	Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros	2
+	Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets	2015	Armand Joulin Tomáš Mikolov	2
+	The Hanabi challenge: A new frontier for AI research	2019	Nolan Bard Jakob Foerster Sarath Chandar Neil Burch Marc Lanctot Hai-Jing Song Emilio Parisotto Vincent Dumoulin Subhodeep Moitra Edward Hughes	2
+	Church: a language for generative models	2012	Noah D. Goodman Vikash K. Mansinghka Daniel M. Roy Keith Bonawitz Joshua B. Tenenbaum	2
+ PDF Chat	A Style-Based Generator Architecture for Generative Adversarial Networks	2019	Tero Karras Samuli Laine Timo Aila	2
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	2
+ PDF Chat	Pros and cons of GAN evaluation measures	2018	Ali Borji	2
+	Self-Supervised Generative Adversarial Networks	2018	Ting Chen Xiaohua Zhai Marvin Ritter Mario Lučić Neil Houlsby	2
+	Self-Attention Generative Adversarial Networks	2018	Han Zhang Ian Goodfellow Dimitris Metaxas Augustus Odena	2
+	Generative Adversarial Self-Imitation Learning	2018	Junhyuk Oh Yijie Guo Satinder Singh Honglak Lee	2
+ PDF Chat	Least Squares Generative Adversarial Networks	2017	Xudong Mao Qing Li Haoran Xie Raymond Y.K. Lau Zhen Wang Stephen Paul Smolley	2
+	Can recursive neural tensor networks learn logical reasoning	2013	Samuel R. Bowman	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+	cuDNN: Efficient Primitives for Deep Learning	2014	Sharan Chetlur Cliff Woolley Philippe Vandermersch Jonathan Cohen John Tran Bryan Catanzaro Evan Shelhamer	2
+	Reinforcement Learning Neural Turing Machines - Revised	2015	Wojciech Zaremba Ilya Sutskever	2
+	On Convergence and Stability of GANs	2018	Naveen Kodali James Hays Jacob Abernethy Zsolt Kira	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+	Exact solutions to the nonlinear dynamics of learning in deep linear neural networks	2013	Andrew Saxe James L. McClelland Surya Ganguli	2
+	DeepMind Control Suite	2018	Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li Diego de Las Casas David Budden Abbas Abdolmaleki Josh Merel Andrew Lefrancq	2
+	Grid Long Short-Term Memory	2015	Nal Kalchbrenner Ivo Danihelka Alex Graves	2
+	Soft Actor-Critic Algorithms and Applications	2018	Tuomas Haarnoja Aurick Zhou Kristian Hartikainen George Tucker Sehoon Ha Jie Tan Vikash Kumar Henry Zhu Abhishek Gupta Pieter Abbeel	2
+	Learning to Execute	2014	Wojciech Zaremba Ilya Sutskever	2
+	ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst	2019	Mayank Bansal Alex Krizhevsky Abhijit S. Ogale	2
+	Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift	2015	Sergey Ioffe Christian Szegedy	2
+ PDF Chat	Representation Learning: A Review and New Perspectives	2013	Yoshua Bengio Aaron Courville P. M. Durai Raj Vincent	2
+ PDF Chat	Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents	2018	Marlos C. Machado Marc G. Bellemare Erik Talvitie Joel Veness Matthew Hausknecht Michael Bowling	2
+ PDF Chat	An informational approach to the global optimization of expensive-to-evaluate functions	2008	Julien Villemonteix Emmanuel Vázquez Éric Walter	1
+	On the use of low discrepancy sequences in Monte Carlo methods	1996	Bruno Tuffin	1
+	Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling	2014	Jun‐Young Chung Çaǧlar Gülçehre Kyunghyun Cho Yoshua Bengio	1
+	Stochastic Backpropagation and Approximate Inference in Deep Generative Models	2014	Danilo Jimenez Rezende Shakir Mohamed Daan Wierstra	1
+ PDF Chat	Multi-view Convolutional Neural Networks for 3D Shape Recognition	2015	Hang Su Subhransu Maji Evangelos Kalogerakis Erik Learned-Miller	1
+	Video (language) modeling: a baseline for generative models of natural videos.	2014	Marc’Aurelio Ranzato Arthur Szlam Joan Bruna Michaël Mathieu Ronan Collobert Sumit Chopra	1
+ PDF Chat	Deep visual-semantic alignments for generating image descriptions	2015	Andrej Karpathy Li Fei-Fei	1