A Comparison between Background Subtraction Algorithms using a Consumer Depth Camera. - Klaus Greff; André Brandão; Stephan Krauß; Didier Stricker; Esteban Clua (VISAPP (1), 2012)

Visual Steering and Verification of Mass Spectrometry Data Factorization in Air Quality Research. - Daniel Engel; Klaus Greff; Christoph Garth; Keith Bein; Anthony S. Wexler; Bernd Hamann; Hans Hagen (IEEE Trans. Vis. Comput. Graph., 2012)

A Clockwork RNN. - Jan Koutník; Klaus Greff; Faustino J. Gomez; Jürgen Schmidhuber (ICML, 2014)

Training Very Deep Networks. - Rupesh Kumar Srivastava; Klaus Greff; Jürgen Schmidhuber (NIPS, 2015)

Binding via Reconstruction Clustering. - Klaus Greff; Rupesh Kumar Srivastava; Jürgen Schmidhuber (CoRR, 2015)

Highway Networks. - Rupesh Kumar Srivastava; Klaus Greff; Jürgen Schmidhuber (CoRR, 2015)

Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters. - Jelena Luketina; Tapani Raiko; Mathias Berglund; Klaus Greff (ICML, 2016)

Tagger: Deep Unsupervised Perceptual Grouping. - Klaus Greff; Antti Rasmus; Mathias Berglund; Tele Hotloo Hao; Harri Valpola; Jürgen Schmidhuber (NIPS, 2016)

Discovering Boolean Gates in Slime Mould. - Simon Harding; Jan Koutník; Klaus Greff; Jürgen Schmidhuber; Andy Adamatzky (CoRR, 2016)

Highway and Residual Networks learn Unrolled Iterative Estimation. - Klaus Greff; Rupesh Kumar Srivastava; Jürgen Schmidhuber (ICLR (Poster), 2017)

Neural Expectation Maximization. - Klaus Greff; Sjoerd van Steenkiste; Jürgen Schmidhuber (NIPS, 2017)

The Sacred Infrastructure for Computational Research. - Klaus Greff; Aaron Klein; Martin Chovanec; Frank Hutter; Jürgen Schmidhuber (SciPy, 2017)

LSTM: A Search Space Odyssey. - Klaus Greff; Rupesh Kumar Srivastava; Jan Koutník; Bas R. Steunebrink; Jürgen Schmidhuber (IEEE Trans. Neural Networks Learn. Syst., 2017)

Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. - Sjoerd van Steenkiste; Michael Chang; Klaus Greff; Jürgen Schmidhuber (ICLR (Poster), 2018)

Multi-Object Representation Learning with Iterative Variational Inference. - Klaus Greff; Raphaël Lopez Kaufman; Rishabh Kabra; Nick Watters; Chris Burgess 001; Daniel Zoran; Loic Matthey; Matthew M. Botvinick; Alexander Lerchner (ICML, 2019)

A Perspective on Objects and Systematic Generalization in Model-Based RL. - Sjoerd van Steenkiste; Klaus Greff; Jürgen Schmidhuber (CoRR, 2019)

Learning Object-Centric Video Models by Contrasting Sets. - Sindy Löwe; Klaus Greff; Rico Jonschkowski; Alexey Dosovitskiy; Thomas Kipf (CoRR, 2020)

On the Binding Problem in Artificial Neural Networks. - Klaus Greff; Sjoerd van Steenkiste; Jürgen Schmidhuber (CoRR, 2020)

Kubric: A scalable dataset generator. - Klaus Greff; Francois Belletti; Lucas Beyer; Carl Doersch; Yilun Du; Daniel Duckworth; David J. Fleet; Dan Gnanapragasam; Florian Golemo; Charles Herrmann; Thomas Kipf; Abhijit Kundu; et al. (CVPR, 2022)

Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. - Mehdi S. M. Sajjadi; Henning Meyer; Etienne Pot; Urs Bergmann; Klaus Greff; Noha Radwan; Suhani Vora; Mario Lucic; Daniel Duckworth; Alexey Dosovitskiy; Jakob Uszkoreit; Thomas A. Funkhouser; et al. (CVPR, 2022)

Conditional Object-Centric Learning from Video. - Thomas Kipf; Gamaleldin Fathy Elsayed; Aravindh Mahendran; Austin Stone; Sara Sabour; Georg Heigold; Rico Jonschkowski; Alexey Dosovitskiy; Klaus Greff (ICLR, 2022)

SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos. - Gamaleldin F. Elsayed; Aravindh Mahendran; Sjoerd van Steenkiste; Klaus Greff; Michael C. Mozer; Thomas Kipf (NeurIPS, 2022)

Object Scene Representation Transformer. - Mehdi S. M. Sajjadi; Daniel Duckworth; Aravindh Mahendran; Sjoerd van Steenkiste; Filip Pavetic; Mario Lucic; Leonidas J. Guibas; Klaus Greff; Thomas Kipf (NeurIPS, 2022)

NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes. - Suhani Vora; Noha Radwan; Klaus Greff; Henning Meyer; Kyle Genova; Mehdi S. M. Sajjadi; Etienne Pot; Andrea Tagliasacchi; Daniel Duckworth (Trans. Mach. Learn. Res., 2022)

RUST: Latent Neural Scene Representations from Unposed Imagery. - Mehdi S. M. Sajjadi; Aravindh Mahendran; Thomas Kipf; Etienne Pot; Daniel Duckworth; Mario Lucic; Klaus Greff (CVPR, 2023)

Audioslots: A Slot-Centric Generative Model For Audio Separation. - Pradyumna Reddy; Scott Wisdom; Klaus Greff; John R. Hershey; Thomas Kipf (ICASSP Workshops, 2023)

SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models. - Ziyi Wu; Nikita Dvornik; Klaus Greff; Thomas Kipf; Animesh Garg (ICLR, 2023)

PaLM-E: An Embodied Multimodal Language Model. - Danny Driess; Fei Xia 002; Mehdi S. M. Sajjadi; Corey Lynch; Aakanksha Chowdhery; Brian Ichter; Ayzaan Wahid; Jonathan Tompson; Quan Vuong; Tianhe Yu; Wenlong Huang; Yevgen Chebotar; et al. (ICML, 2023)

Sensitivity of Slot-Based Object-Centric Models to their Number of Slots. - Roland S. Zimmermann; Sjoerd van Steenkiste; Mehdi S. M. Sajjadi; Thomas Kipf; Klaus Greff (CoRR, 2023)

Getting aligned on representational alignment. - Ilia Sucholutsky; Lukas Muttenthaler; Adrian Weller; Andi Peng; Andreea Bobu; Been Kim; Bradley C. Love; Erin Grant; Jascha Achterberg; Joshua B. Tenenbaum; Katherine M. Collins; Katherine L. Hermann; et al. (CoRR, 2023)

DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. - Maximilian Seitzer; Sjoerd van Steenkiste; Thomas Kipf; Klaus Greff; Mehdi S. M. Sajjadi (ICLR, 2024)

Moving Off-the-Grid: Scene-Grounded Video Representations. - Sjoerd van Steenkiste; Daniel Zoran; Yi Yang 007; Yulia Rubanova; Rishabh Kabra; Carl Doersch; Dilara Gokay; Joseph Heyward; Etienne Pot; Klaus Greff; Drew A. Hudson; Thomas Keck; et al. (NeurIPS, 2024)

Aligning Machine and Human Visual Representations across Abstraction Levels. - Lukas Muttenthaler; Klaus Greff; Frieda Born; Bernhard Spitzer; Simon Kornblith; Michael C. Mozer; Klaus-Robert Müller; Thomas Unterthiner; Andrew K. Lampinen (CoRR, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

Gemma 3 Technical Report. - Aishwarya Kamath; Johan Ferret; Shreya Pathak; Nino Vieillard; Ramona Merhej; Sarah Perrin; Tatiana Matejovicova; Alexandre Ramé; Morgane Rivière; Louis Rouillard; Thomas Mesnard; Geoffrey Cideron; et al. (CoRR, 2025)