Greff, Klaus

22 publications

TMLR 2025 Getting Aligned on Representational Alignment Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J Cueva, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine Hermann, Kerem Oktar, Klaus Greff, Martin N Hebart, Nathan Cloos, Nikolaus Kriegeskorte, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus Robert Muller, Mariya Toneva, Thomas L. Griffiths

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

NeurIPS 2024 Moving Off-the-Grid: Scene-Grounded Video Representations Sjoerd van Steenkiste, Daniel Zoran, Yi Yang, Yulia Rubanova, Rishabh Kabra, Carl Doersch, Dilara Gokay, Joseph Heyward, Etienne Pot, Klaus Greff, Drew A. Hudson, Thomas Albert Keck, Joao Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf

NeurIPSW 2023 Inverted-Attention Transformers Can Learn Object Representations: Insights from Slot Attention Yi-Fu Wu, Klaus Greff, Gamaleldin Fathy Elsayed, Michael Curtis Mozer, Thomas Kipf, Sjoerd van Steenkiste

NeurIPSW 2023 Inverted-Attention Transformers Can Learn Object Representations: Insights from Slot Attention Yi-Fu Wu, Klaus Greff, Gamaleldin Fathy Elsayed, Michael Curtis Mozer, Thomas Kipf, Sjoerd van Steenkiste

ICML 2023 PaLM-E: An Embodied Multimodal Language Model Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence

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

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

ICLR 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

CVPR 2022 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, Dmitry Lagun, Issam Laradji, Hsueh-Ti Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Oztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi

TMLR 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

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

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

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 Lučić, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas Funkhouser, Andrea Tagliasacchi

ICML 2019 Multi-Object Representation Learning with Iterative Variational Inference Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Christopher Burgess, Daniel Zoran, Loic Matthey, Matthew Botvinick, Alexander Lerchner

ICLR 2018 Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and Their Interactions Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber

ICLR 2017 Highway and Residual Networks Learn Unrolled Iterative Estimation Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber

NeurIPS 2017 Neural Expectation Maximization Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber

ICLR 2017 Neural Expectation Maximization Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber

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

NeurIPS 2016 Tagger: Deep Unsupervised Perceptual Grouping Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hao, Harri Valpola, Jürgen Schmidhuber

NeurIPS 2015 Training Very Deep Networks Rupesh K Srivastava, Klaus Greff, Jürgen Schmidhuber