Sjoerd van Steenkiste
Sjoerd van Steenkiste
Postdoctoral Researcher at the Swiss AI Lab IDSIA
Verified email at idsia.ch - Homepage
Title
Cited by
Cited by
Year
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions
S van Steenkiste, M Chang, K Greff, J Schmidhuber
International Conference on Learning Representations, 2018
1742018
Neural Expectation Maximization
K Greff*, S van Steenkiste*, J Schmidhuber
Advances in Neural Information Processing Systems 30, 6694--6704, 2017
1502017
Are Disentangled Representations Helpful for Abstract Visual Reasoning?
S van Steenkiste, F Locatello, J Schmidhuber, O Bachem
Advances in Neural Information Processing Systems 32, 14222--14235, 2019
742019
Towards Accurate Generative Models of Video: A New Metric & Challenges
T Unterthiner*, S van Steenkiste*, K Kurach, R Marinier, M Michalski, ...
arXiv preprint arXiv:1812.01717, 2018
732018
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
L Kirsch, S van Steenkiste, J Schmidhuber
International Conference on Learning Representations, 2020
362020
On the binding problem in artificial neural networks
K Greff, S van Steenkiste, J Schmidhuber
arXiv preprint arXiv:2012.05208, 2020
302020
Investigating object compositionality in generative adversarial networks
S van Steenkiste, K Kurach, J Schmidhuber, S Gelly
Neural Networks 130, 309-325, 2020
28*2020
A Wavelet-based Encoding for Neuroevolution
S van Steenkiste, J Koutník, K Driessens, J Schmidhuber
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 517-524, 2016
162016
A Perspective on Objects and Systematic Generalization in Model-Based RL
S van Steenkiste*, K Greff*, J Schmidhuber
ICML Workshop on Generative Modeling and Model-Based Reasoning for Robotics …, 2019
142019
FVD: A new Metric for Video Generation
T Unterthiner*, S van Steenkiste*, K Kurach, R Marinier, M Michalski, ...
ICLR Workshop on Deep Generative Models for Highly Structured Data, 2019
92019
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
R Csordás, S van Steenkiste, J Schmidhuber
International Conference on Learning Representations, 2021
82021
Hierarchical Relational Inference
A Stanić, S van Steenkiste, J Schmidhuber
Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9730 …, 2021
62021
Unsupervised Object Keypoint Learning using Local Spatial Predictability
A Gopalakrishnan, S van Steenkiste, J Schmidhuber
International Conference on Learning Representations, 2021
52021
Learning structured neural representations for visual reasoning tasks
S van Steenkiste
Università della Svizzera italiana, 2020
2020
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Articles 1–14