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Conditional Object-Centric Learning from Video


Nov 24, 2021
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff

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

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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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Learning Object-Centric Video Models by Contrasting Sets


Nov 20, 2020
Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf

* NeurIPS 2020 Workshop on Object Representations for Learning and Reasoning 

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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

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

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Multi-Object Representation Learning with Iterative Variational Inference


Mar 01, 2019
Klaus Greff, Raphaël Lopez Kaufmann, Rishab Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner


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


Feb 28, 2018
Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber

* Accepted to ICLR 2018 

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Neural Expectation Maximization


Nov 04, 2017
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber

* Accepted to NIPS 2017 

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LSTM: A Search Space Odyssey


Oct 04, 2017
Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber

* IEEE Transactions on Neural Networks and Learning Systems ( Volume: 28, Issue: 10, Oct. 2017 ) Pages: 2222 - 2232 
* 12 pages, 6 figures 

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Highway and Residual Networks learn Unrolled Iterative Estimation


Mar 14, 2017
Klaus Greff, Rupesh K. Srivastava, Jürgen Schmidhuber

* 10 + 4 pages, accepted for ICLR 2017 

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Tagger: Deep Unsupervised Perceptual Grouping


Nov 28, 2016
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Jürgen Schmidhuber, Harri Valpola

* 14 pages + 5 pages supplementary, accepted at NIPS 2016 

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Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters


Jun 17, 2016
Jelena Luketina, Mathias Berglund, Klaus Greff, Tapani Raiko

* 9 pages, 7 figures. Accepted at ICML 2016 

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Binding via Reconstruction Clustering


Jan 20, 2016
Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber

* 12 pages, plus 12 pages Appendix 

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Training Very Deep Networks


Nov 23, 2015
Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber

* 11 pages. Extends arXiv:1505.00387. Project webpage is at http://people.idsia.ch/~rupesh/very_deep_learning/. in Advances in Neural Information Processing Systems 2015 

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Highway Networks


Nov 03, 2015
Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber

* 6 pages, 2 figures. Presented at ICML 2015 Deep Learning workshop. Full paper is at arXiv:1507.06228 

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A Clockwork RNN


Feb 14, 2014
Jan Koutník, Klaus Greff, Faustino Gomez, Jürgen Schmidhuber


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