Sjoerd van Steenkiste | DeepAI

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Featured Co-authors

Jürgen Schmidhuber
84 publications
Francesco Locatello
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Sylvain Gelly
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Olivier Bachem
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Kazuki Irie
23 publications
Thomas Unterthiner
20 publications
Aditya Ramesh
17 publications
Klaus Greff
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Michael Chang
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Louis Kirsch
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Róbert Csordás
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∙ 11/18/2022

Exploring through Random Curiosity with General Value Functions

Efficient exploration in reinforcement learning is a challenging problem...

0 Aditya Ramesh, et al. ∙

∙ 03/25/2022

Unsupervised Learning of Temporal Abstractions with Slot-based Transformers

The discovery of reusable sub-routines simplifies decision-making and pl...

0 Anand Gopalakrishnan, et al. ∙

∙ 12/09/2020

On the Binding Problem in Artificial Neural Networks

Contemporary neural networks still fall short of human-level generalizat...

29 Klaus Greff, et al. ∙

∙ 11/25/2020

Unsupervised Object Keypoint Learning using Local Spatial Predictability

We propose PermaKey, a novel approach to representation learning based o...

1 Anand Gopalakrishnan, et al. ∙

∙ 10/07/2020

Hierarchical Relational Inference

Common-sense physical reasoning in the real world requires learning abou...

2 Aleksandar Stanić, et al. ∙

∙ 10/05/2020

Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks

Neural networks (NNs) whose subnetworks implement reusable functions are...

41 Róbert Csordás, et al. ∙

∙ 10/09/2019

Improving Generalization in Meta Reinforcement Learning using Learned Objectives

Biological evolution has distilled the experiences of many learners into...

14 Louis Kirsch, et al. ∙

∙ 06/03/2019

A Perspective on Objects and Systematic Generalization in Model-Based RL

In order to meet the diverse challenges in solving many real-world probl...

4 Sjoerd van Steenkiste, et al. ∙

∙ 05/29/2019

Are Disentangled Representations Helpful for Abstract Visual Reasoning?

A disentangled representation encodes information about the salient fact...

3 Sjoerd van Steenkiste, et al. ∙

∙ 12/03/2018

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

Recent advances in deep generative models have lead to remarkable progre...

0 Thomas Unterthiner, et al. ∙

∙ 10/17/2018

A Case for Object Compositionality in Deep Generative Models of Images

Deep generative models seek to recover the process with which the observ...

0 Sjoerd van Steenkiste, et al. ∙

∙ 02/28/2018

Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions

Common-sense physical reasoning is an essential ingredient for any intel...

0 Sjoerd van Steenkiste, et al. ∙

∙ 08/11/2017

Neural Expectation Maximization

Many real world tasks such as reasoning and physical interaction require...

0 Klaus Greff, et al. ∙

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