Sjoerd van Steenkiste

Author

Dalle Molle Institute for Artificial Intelligence Research ORCID

Also Known As

Sjoerd Steenkiste, Sjoerd Van Steenkiste, Sjoerd van Steenkiste, Steenkiste, Sjoerd Van, van Steenkiste, Sjoerd

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

Dalle Molle Institute for Artificial Intelligence Research Google (United States)University of Applied Sciences and Arts of Southern Switzerland Università della Svizzera italiana Maastricht University

About

Sjoerd van Steenkiste is an author at Dalle Molle Institute for Artificial Intelligence Research specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	14	17	931
2	Computer Science	14	16	920
3	Cognitive Science	8	8	311
4	Social Sciences	6	6	205
5	Computer Engineering	1	1	13

Sjoerd van Steenkiste

Publications

1.1K

Citations

H-Index

Page 1

	Year	Citations
Towards Accurate Generative Models of Video: A New Metric & Challenges Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, arXiv (Cornell University) EngineeringMachine LearningDeep Generative ModelsVideo InterpretationGenerative System	2018	193
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Sjoerd van Steenkiste, Michael Chang, Klaus Greff, arXiv (Cornell University) Artificial IntelligenceGeometric LearningEngineeringMachine LearningObject Categorization	2018	134
Neural Expectation Maximization Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber Figshare	2018	121
Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani, Josip Djolonga, Basil Mustafa, arXiv (Cornell University) EngineeringMachine LearningVision TransformersVideo InterpretationStable Training	2023	117
Are Disentangled Representations Helpful for Abstract Visual Reasoning Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, MPG.PuRe (Max Planck Society) Artificial IntelligenceLarge Ai ModelCognitive ScienceEngineeringMachine Learning	2019	83
Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningModel-based ReasoningProgressive Matrices	2019	61
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber arXiv (Cornell University) Artificial IntelligenceCognitive ScienceEngineeringMachine LearningReward Hacking	2019	59
Neural Expectation Maximization Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber arXiv (Cornell University) Artificial IntelligenceGeometric LearningEngineeringMachine LearningAutomated Discovery	2017	50
On the Binding Problem in Artificial Neural Networks Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningAi FoundationBinding Problem	2020	50
FVD: A new Metric for Video Generation Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, International Conference on Learning Representations Image AnalysisEngineeringVideo QualityVideo GenerationVideo Hallucination	2019	47

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