Klaus Greff

Most-cited papers

1. LSTM: A Search Space Odyssey

   Klaus Greff, R. Srivastava, Jan Koutník, Bas R. Steunebrink +1 more

   2015IEEE Transactions on Neural Networks and Learning Systems6,468 citations Open access

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2. PaLM-E: An Embodied Multimodal Language Model

   Danny Driess, F. Xia, Mehdi S. M. Sajjadi, Corey Lynch +18 more

   2023International Conference on Machine Learning3,382 citations Open access

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3. Gemma 3 Technical Report

   Gemma Team Aishwarya Kamath, Johan Ferret, Shreya Pathak, Nino Vieillard +206 more

   2025arXiv.org2,119 citations

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4. Highway Networks

   R. Srivastava, Klaus Greff, J. Schmidhuber

   2015arXiv.org1,932 citations

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5. Training Very Deep Networks

   R. Srivastava, Klaus Greff, J. Schmidhuber

   2015Neural Information Processing Systems1,801 citations

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6. Multi-Object Representation Learning with Iterative Variational Inference

   Klaus Greff, Raphael Lopez Kaufman, Rishabh Kabra, Nicholas Watters +5 more

   2019International Conference on Machine Learning604 citations

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7. A Clockwork RNN

   Jan Koutník, Klaus Greff, F. Gomez, J. Schmidhuber

   2014International Conference on Machine Learning558 citations

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8. Kubric: A scalable dataset generator

   Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch +30 more

   2022Computer Vision and Pattern Recognition514 citations Open access

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9. Conditional Object-Centric Learning from Video

   Thomas Kipf, G. Elsayed, Aravindh Mahendran, Austin Stone +5 more

   2021International Conference on Learning Representations339 citations

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10. On the Binding Problem in Artificial Neural Networks

    Klaus Greff, Sjoerd van Steenkiste, J. Schmidhuber

    2020arXiv.org336 citations

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11. Neural Expectation Maximization

    Klaus Greff, Sjoerd van Steenkiste, J. Schmidhuber

    2017Neural Information Processing Systems314 citations

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

    Sjoerd van Steenkiste, Michael Chang, Klaus Greff, J. Schmidhuber

    2018International Conference on Learning Representations302 citations

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13. Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations

    Mehdi S. M. Sajjadi, H. Meyer, Etienne Pot, Urs M. Bergmann +9 more

    2021Computer Vision and Pattern Recognition279 citations Open access

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14. Highway and Residual Networks learn Unrolled Iterative Estimation

    Klaus Greff, R. Srivastava, J. Schmidhuber

    2016International Conference on Learning Representations237 citations

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

    G. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff +2 more

    2022Neural Information Processing Systems221 citations Open access

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16. Getting aligned on representational alignment

    Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng +29 more

    2023Trans. Mach. Learn. Res.217 citations

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17. SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models

    Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf +1 more

    2022International Conference on Learning Representations191 citations Open access

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18. Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters

    Jelena Luketina, Mathias Berglund, Klaus Greff, T. Raiko

    2015International Conference on Machine Learning184 citations

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19. Tagger: Deep Unsupervised Perceptual Grouping

    Klaus Greff, Antti Rasmus, Mathias Berglund, T. Hao +2 more

    2016Neural Information Processing Systems169 citations

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20. NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes

    Suhani Vora, Noha Radwan, Klaus Greff, H. Meyer +5 more

    2021Trans. Mach. Learn. Res.154 citations

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21. Object Scene Representation Transformer

    Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste +5 more

    2022Neural Information Processing Systems125 citations Open access

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22. The Sacred Infrastructure for Computational Research

    Klaus Greff, Aaron Klein, M. Chovanec, F. Hutter +1 more

    2017SciPy94 citations Open access

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23. Aligning machine and human visual representations across abstraction levels

    Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer +5 more

    2025Nature70 citations Open access

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24. RUST: Latent Neural Scene Representations from Unposed Imagery

    Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot +3 more

    2022Computer Vision and Pattern Recognition55 citations Open access

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25. Binding via Reconstruction Clustering

    Klaus Greff, R. Srivastava, J. Schmidhuber

    2015arXiv.org43 citations

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26. A Comparison between Background Subtraction Algorithms using a Consumer Depth Camera

    Klaus Greff, A. Brandão, Stephan Krauß, D. Stricker +1 more

    2012International Conference on Computer Vision Theory and Applications33 citations Open access

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27. Scaling 4D Representations

    João Carreira, Dilara Gokay, Michael King, Chu-Han Zhang +31 more

    2024arXiv.org32 citations

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

    Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber

    2019arXiv.org31 citations

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29. Learning Object-Centric Video Models by Contrasting Sets

    Sindy Löwe, Klaus Greff, Rico Jonschkowski, A. Dosovitskiy +1 more

    2020arXiv.org25 citations

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30. Discovering Boolean Gates in Slime Mould

    Simon Harding, Jan Koutník, Klaus Greff, J. Schmidhuber +1 more

    2016arXiv.org14 citations Open access

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31. Moving Off-the-Grid: Scene-Grounded Video Representations

    João Carreira, Carl Doersch, A. Dosovitskiy, Dilara Gokay +12 more

    2024Neural Information Processing Systems13 citations

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32. DyST: Towards Dynamic Neural Scene Representations on Real-World Videos

    Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff +1 more

    2023International Conference on Learning Representations13 citations Open access

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33. Inverted-Attention Transformers can Learn Object Representations: Insights from Slot Attention

    Yi-Fu Wu, Klaus Greff, Google DeepMind, G. Elsayed +3 more

    13 citations

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34. DiffusionGemma Technical Report

    DiffusionGemma Team Adrien Ali Taïga, James Assiene, Daniele Calandriello, R. Chaabouni +39 more

    202612 citations

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35. 33rd International Conference on Machine Learning, ICML 2016

    Jelena Luketina, Mathias Berglund, Klaus Greff, T. Raiko

    2016International Conference on Machine Learning11 citations

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36. MIND: Monge Inception Distance for Generative Models Evaluation

    Quentin Berthet, Yu-Hang Wu, Clé-ment Crepy, R. Élie +2 more

    2026arXiv.org10 citations

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37. Audioslots: A Slot-Centric Generative Model For Audio Separation

    P. Reddy, Scott Wisdom, Klaus Greff, J. Hershey +1 more

    20232023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)10 citations Open access

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38. Visual Steering and Verification of Mass Spectrometry Data Factorization in Air Quality Research

    D. Engel, Klaus Greff, Christoph Garth, Keith J. Bein +3 more

    2012IEEE Transactions on Visualization and Computer Graphics10 citations

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39. Sensitivity of Slot-Based Object-Centric Models to their Number of Slots

    R. Zimmermann, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Thomas Kipf +1 more

    2023arXiv.org8 citations Open access

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40. Unconventional computing using evolution-in-nanomaterio: neural networks meet nanoparticle networks

    Klaus Greff, R. V. Damme, Jan Koutník, H. J. Broersma +4 more

    20166 citations

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41. Aligning Machine and Human Visual Representations across Abstraction Levels

    Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer +5 more

    2024arXiv.org4 citations

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42. Using Neural Networks to Predict the Functionality of Reconfigurable Nano-material Networks

    Klaus Greff, R. V. Damme, Jan Koutník, H. J. Broersma +4 more

    20173 citations

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43. AsyncPatch Diffusion: spatially-flexible image generation

    Samuele Papa, Valentin De Bortoli, Guillaume Couairon, Daniel Sýkora +2 more

    2026arXiv.org1 citations

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44. AMR-to-Text Generation with Graph Structure Reconstruction and Coverage

    L. Banarescu, C. Bonial, C. Shu, M. Georgescu +18 more

    20211 citations

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45. Using Neural Networks to Predict the Functionality of Reconfigurable Nanomaterial Networks

    Klaus Greff, R. Damme, Jan Koutník, H. Broersma +4 more

    20171 citations

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46. Scaling up Multidimensional Recurrent Neural Networks for image segmentation

    M. Matteucci, J. Schmidhuber, Klaus Greff, R. Srivastava

    20160 citations

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47. Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models

    Guangyu Xie, Yice Zhang, Jianzhu Bao, Qian-Long Wang +496 more

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