Karol Kurach

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ML Researcher at Google Brain ZRH

Google Research Football: A Novel Reinforcement Learning Environment

Recent progress in the field of reinforcement learning has been accelera...
07/25/2019 ∙ by Karol Kurach, et al. ∙ 16 ∙ share

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

Recent advances in deep generative models have lead to remarkable progre...
12/03/2018 ∙ by Thomas Unterthiner, et al. ∙ 0 ∙ share

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A Case for Object Compositionality in Deep Generative Models of Images

Deep generative models seek to recover the process with which the observ...
10/17/2018 ∙ by Sjoerd van Steenkiste, et al. ∙ 0 ∙ share

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

Generative Adversarial Networks (GANs) are a class of deep generative mo...
07/12/2018 ∙ by Karol Kurach, et al. ∙ 6 ∙ share

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MemGEN: Memory is All You Need

We propose a new learning paradigm called Deep Memory. It has the potent...
03/29/2018 ∙ by Sylvain Gelly, et al. ∙ 0 ∙ share

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Are GANs Created Equal? A Large-Scale Study

Generative adversarial networks (GAN) are a powerful subclass of generat...
11/28/2017 ∙ by Mario Lucic, et al. ∙ 0 ∙ share

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Better Text Understanding Through Image-To-Text Transfer

Generic text embeddings are successfully used in a variety of tasks. How...
05/23/2017 ∙ by Karol Kurach, et al. ∙ 0 ∙ share

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Smart Reply: Automated Response Suggestion for Email

In this paper we propose and investigate a novel end-to-end method for a...
06/15/2016 ∙ by Anjuli Kannan, et al. ∙ 0 ∙ share

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Adding Gradient Noise Improves Learning for Very Deep Networks

Deep feedforward and recurrent networks have achieved impressive results...
11/21/2015 ∙ by Arvind Neelakantan, et al. ∙ 0 ∙ share

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Neural Random-Access Machines

In this paper, we propose and investigate a new neural network architect...
11/19/2015 ∙ by Karol Kurach, et al. ∙ 0 ∙ share

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Karol Kurach

Featured Co-authors

Quoc V. Le

Ilya Sutskever

Sylvain Gelly

Mario Lucic

Łukasz Kaiser

Olivier Bousquet

Olivier Bachem

Olivier Teytaud

Anjuli Kannan

Arvind Neelakantan

Sujith Ravi

Google Research Football: A Novel Reinforcement Learning Environment

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

A Case for Object Compositionality in Deep Generative Models of Images

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

MemGEN: Memory is All You Need

Are GANs Created Equal? A Large-Scale Study

Better Text Understanding Through Image-To-Text Transfer

Smart Reply: Automated Response Suggestion for Email

Adding Gradient Noise Improves Learning for Very Deep Networks

Neural Random-Access Machines