Karol Kurach - RankMe

29 papers A* 5A 1C 2Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Adversarial autoencoders for compact representations of 3D point clouds. Comput. Vis. Image Underst. Maciej Zamorski, Maciej Zieba, Piotr Klukowski, Rafal Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzcinski
2020	A*	`conf`	Google Research Football: A Novel Reinforcement Learning Environment. AAAI Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2020	J	`jnl`	Investigating object compositionality in Generative Adversarial Networks. Neural Networks Sjoerd van Steenkiste, Karol Kurach, Jürgen Schmidhuber, Sylvain Gelly
2019	A*	`conf`	A Large-Scale Study on Regularization and Normalization in GANs. ICML Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly
2019	—	`conf`	FVD: A new Metric for Video Generation. DGS@ICLR Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
2019	J	`jnl`	Google Research Football: A Novel Reinforcement Learning Environment. CoRR Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly
2018	J	`jnl`	A Case for Object Compositionality in Deep Generative Models of Images. CoRR Sjoerd van Steenkiste, Karol Kurach, Sylvain Gelly
2018	A*	`conf`	Are GANs Created Equal? A Large-Scale Study. NeurIPS Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet
2018	J	`jnl`	MemGEN: Memory is All You Need. CoRR Sylvain Gelly, Karol Kurach, Marcin Michalski, Xiaohua Zhai
2018	J	`jnl`	The GAN Landscape: Losses, Architectures, Regularization, and Normalization. CoRR Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly
2018	J	`jnl`	Towards Accurate Generative Models of Video: A New Metric & Challenges. CoRR Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
2017	J	`jnl`	Are GANs Created Equal? A Large-Scale Study. CoRR Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet
2017	J	`jnl`	Better Text Understanding Through Image-To-Text Transfer. CoRR Karol Kurach, Sylvain Gelly, Michal Jastrzebski, Philip Häusser, Olivier Teytaud, Damien Vincent, Olivier Bousquet
2017	J	`jnl`	Critical Hyper-Parameters: No Random, No Cry. CoRR Olivier Bousquet, Sylvain Gelly, Karol Kurach, Olivier Teytaud, Damien Vincent
2017	J	`jnl`	Toward Optimal Run Racing: Application to Deep Learning Calibration. CoRR Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michèle Sebag, Olivier Teytaud, Damien Vincent
2016	J	`jnl`	Learning Efficient Algorithms with Hierarchical Attentive Memory. CoRR Marcin Andrychowicz, Karol Kurach
2016	J	`jnl`	Neural Random Access Machines. ERCIM News Karol Kurach, Marcin Andrychowicz, Ilya Sutskever
2016	A*	`conf`	Neural Random-Access Machines. ICLR (Poster) Karol Kurach, Marcin Andrychowicz, Ilya Sutskever
2016	C	`conf`	Predicting Dangerous Seismic Activity with Recurrent Neural Networks. FedCSIS Karol Kurach, Krzysztof Pawlowski
2016	A*	`conf`	Smart Reply: Automated Response Suggestion for Email. KDD Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala
2016	J	`jnl`	Smart Reply: Automated Response Suggestion for Email. CoRR Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala
2015	J	`jnl`	Adding Gradient Noise Improves Learning for Very Deep Networks. CoRR Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens
2015	—	`conf`	Detecting Hazardous Events from Sequential Data with Multilayer Architectures. CS&P Karol Kurach, Krzysztof Pawlowski
2015	—	`conf`	Detecting Methane Outbreaks from Time Series Data with Deep Neural Networks. RSFDGrC Krzysztof Pawlowski, Karol Kurach
2014	A	`conf`	Coalition structure generation with the graphics processing unit. AAMAS Krzysztof Pawlowski, Karol Kurach, Kim Svensson, Sarvapali D. Ramchurn, Tomasz P. Michalak, Talal Rahwan
2014	—	`conf`	Learning to Discover Efficient Mathematical Identities. NIPS Wojciech Zaremba, Karol Kurach, Rob Fergus
2014	J	`jnl`	Learning to Discover Efficient Mathematical Identities. CoRR Wojciech Zaremba, Karol Kurach, Rob Fergus
2013	—	`ch.`	Multi-label Classification of Biomedical Articles. Intelligent Tools for Building a Scientific Information Platform Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen
2012	C	`conf`	An Ensemble Approach to Multi-label Classification of Textual Data. ADMA Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen