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Exploring through Random Curiosity with General Value Functions


Nov 18, 2022
Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber

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* Accepted to NeurIPS 2022 

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SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos


Jun 15, 2022
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf

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* Project page at https://slot-attention-video.github.io/savi++/ 

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Object Scene Representation Transformer


Jun 14, 2022
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetić, Mario Lučić, Leonidas J. Guibas, Klaus Greff, Thomas Kipf

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* Project page: https://osrt-paper.github.io/ 

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Unsupervised Learning of Temporal Abstractions with Slot-based Transformers


Mar 25, 2022
Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste

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* 26 pages, 8 figures 

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On the Binding Problem in Artificial Neural Networks


Dec 09, 2020
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber

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Unsupervised Object Keypoint Learning using Local Spatial Predictability


Nov 25, 2020
Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber

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* pre-print. under review. 19 pages, 10 figures 

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Hierarchical Relational Inference


Oct 07, 2020
Aleksandar Stanić, Sjoerd van Steenkiste, Jürgen Schmidhuber

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


Oct 05, 2020
Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber

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Improving Generalization in Meta Reinforcement Learning using Learned Objectives


Oct 09, 2019
Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber

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


Jun 03, 2019
Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber

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* Accepted to the ICML 2019 workshop on Workshop on Generative Modeling and Model-Based Reasoning for Robotics and AI 

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