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Sjoerd van Steenkiste
Sjoerd van Steenkiste
Research Scientist at Google DeepMind
Verified email at google.com - Homepage
Title
Cited by
Cited by
Year
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
10512018
Scaling vision transformers to 22 billion parameters
M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ...
International conference on machine learning, 7480-7512, 2023
8842023
On the binding problem in artificial neural networks
K Greff, S Van Steenkiste, J Schmidhuber
arXiv preprint arXiv:2012.05208, 2020
3642020
Neural Expectation Maximization
K Greff*, S van Steenkiste*, J Schmidhuber
Advances in Neural Information Processing Systems 30, 6694--6704, 2017
3502017
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
3352018
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
3162019
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
2412019
Savi++: Towards end-to-end object-centric learning from real-world videos
GF Elsayed*, A Mahendran*, S van Steenkiste*, K Greff, MC Mozer, ...
Advances in Neural Information Processing Systems, 2022
1972022
Improving Generalization in Meta Reinforcement Learning using Learned Objectives
L Kirsch, S van Steenkiste, J Schmidhuber
International Conference on Learning Representations, 2020
1742020
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks
R Csordás, S van Steenkiste, J Schmidhuber
International Conference on Learning Representations, 2021
1322021
Object Scene Representation Transformer
MSM Sajjadi, D Duckworth*, A Mahendran*, S van Steenkiste*, F Pavetić, ...
Advances in Neural Information Processing Systems, 2022
1252022
Benchmarking vision language models for cultural understanding
S Nayak, K Jain, R Awal, S Reddy, S Van Steenkiste, LA Hendricks, ...
arXiv preprint arXiv:2407.10920, 2024
832024
Dreamsync: Aligning text-to-image generation with image understanding feedback
J Sun, D Fu, Y Hu, S Wang, R Rassin, DC Juan, D Alon, C Herrmann, ...
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of …, 2025
732025
Investigating object compositionality in generative adversarial networks
S Van Steenkiste, K Kurach, J Schmidhuber, S Gelly
Neural Networks 130, 309-325, 2020
65*2020
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames
O Biza, S van Steenkiste, MSM Sajjadi, GF Elsayed, A Mahendran, T Kipf
International Conference on Machine Learning, 2023
572023
A systematic comparison of syllogistic reasoning in humans and language models
T Eisape, MH Tessler, I Dasgupta, F Sha, S van Steenkiste, T Linzen
Proceedings of the 2024 Conference of the North American Chapter of the …, 2024
362024
Unsupervised Object Keypoint Learning using Local Spatial Predictability
A Gopalakrishnan, S van Steenkiste, J Schmidhuber
International Conference on Learning Representations, 2021
342021
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
272019
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
272016
Neural assets: 3d-aware multi-object scene synthesis with image diffusion models
Z Wu, Y Rubanova, R Kabra, DA Hudson, I Gilitschenski, Y Aytar, ...
Advances in Neural Information Processing Systems 37, 76289-76318, 2024
262024
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Articles 1–20