Karol Kurach

According to our database, Karol Kurach authored at least 24 papers between 2012 and 2020.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2020

Investigating object compositionality in Generative Adversarial Networks.

Sjoerd van Steenkiste, Karol Kurach, Jürgen Schmidhuber, Sylvain Gelly

Neural Networks, 2020

Adversarial autoencoders for compact representations of 3D point clouds.

Maciej Zamorski, Maciej Zieba, Piotr Klukowski, Rafal Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzcinski

Comput. Vis. Image Underst., 2020

Google Research Football: A Novel Reinforcement Learning Environment.

Karol Kurach, Anton Raichuk, Piotr Stanczyk, Michal Zajac, Olivier Bachem, Lasse Espeholt, Carlos Riquelme, Damien Vincent, Marcin Michalski, Olivier Bousquet, Sylvain Gelly

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Large-Scale Study on Regularization and Normalization in GANs.

Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly

Proceedings of the 36th International Conference on Machine Learning, 2019

FVD: A new Metric for Video Generation.

Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

Towards Accurate Generative Models of Video: A New Metric & Challenges.

Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly

CoRR, 2018

A Case for Object Compositionality in Deep Generative Models of Images.

Sjoerd van Steenkiste, Karol Kurach, Sylvain Gelly

CoRR, 2018

The GAN Landscape: Losses, Architectures, Regularization, and Normalization.

Karol Kurach, Mario Lucic, Xiaohua Zhai, Marcin Michalski, Sylvain Gelly

CoRR, 2018

MemGEN: Memory is All You Need.

Sylvain Gelly, Karol Kurach, Marcin Michalski, Xiaohua Zhai

CoRR, 2018

Are GANs Created Equal? A Large-Scale Study.

Mario Lucic, Karol Kurach, Marcin Michalski, Sylvain Gelly, Olivier Bousquet

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

Better Text Understanding Through Image-To-Text Transfer.

Karol Kurach, Sylvain Gelly, Michal Jastrzebski, Philip Häusser, Olivier Teytaud, Damien Vincent, Olivier Bousquet

CoRR, 2017

Critical Hyper-Parameters: No Random, No Cry.

Olivier Bousquet, Sylvain Gelly, Karol Kurach, Olivier Teytaud, Damien Vincent

CoRR, 2017

Toward Optimal Run Racing: Application to Deep Learning Calibration.

Olivier Bousquet, Sylvain Gelly, Karol Kurach, Marc Schoenauer, Michèle Sebag, Olivier Teytaud, Damien Vincent

CoRR, 2017

2016

Neural Random Access Machines.

Karol Kurach, Marcin Andrychowicz, Ilya Sutskever

ERCIM News, 2016

Learning Efficient Algorithms with Hierarchical Attentive Memory.

Marcin Andrychowicz, Karol Kurach

CoRR, 2016

Smart Reply: Automated Response Suggestion for Email.

Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, László Lukács, Marina Ganea, Peter Young, Vivek Ramavajjala

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Predicting Dangerous Seismic Activity with Recurrent Neural Networks.

Karol Kurach, Krzysztof Pawlowski

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, 2016

2015

Adding Gradient Noise Improves Learning for Very Deep Networks.

Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens

CoRR, 2015

Detecting Methane Outbreaks from Time Series Data with Deep Neural Networks.

Krzysztof Pawlowski, Karol Kurach

Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2015

Detecting Hazardous Events from Sequential Data with Multilayer Architectures.

Karol Kurach, Krzysztof Pawlowski

Proceedings of the 24th International Workshop on Concurrency, 2015

2014

Learning to Discover Efficient Mathematical Identities.

Wojciech Zaremba, Karol Kurach, Rob Fergus

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Coalition structure generation with the graphics processing unit.

Krzysztof Pawlowski, Karol Kurach, Kim Svensson, Sarvapali D. Ramchurn, Tomasz P. Michalak, Talal Rahwan

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013

Multi-label Classification of Biomedical Articles.

Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen

Proceedings of the Intelligent Tools for Building a Scientific Information Platform, 2013

2012

An Ensemble Approach to Multi-label Classification of Textual Data.

Karol Kurach, Krzysztof Pawlowski, Lukasz Romaszko, Marcin Tatjewski, Andrzej Janusz, Hung Son Nguyen

Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012