Klaus Greff

58 papers A* 13Journal 36Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Aligning machine and human visual representations across abstraction levels.
Nat.
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2025 J jnl
Getting aligned on representational alignment.
Trans. Mach. Learn. Res.
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Christopher J. Cueva, Erin Grant, Iris I. A. Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. 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 P. O'Connell, Thomas Unterthiner, Andrew Kyle Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2024 J jnl
Aligning Machine and Human Visual Representations across Abstraction Levels.
CoRR
Lukas Muttenthaler, Klaus Greff, Frieda Born, Bernhard Spitzer, Simon Kornblith, Michael C. Mozer, Klaus-Robert Müller, Thomas Unterthiner, Andrew K. Lampinen
2024 A* conf
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos.
ICLR
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
2024 A* conf
Moving Off-the-Grid: Scene-Grounded Video Representations.
NeurIPS
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 Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024 J jnl
Moving Off-the-Grid: Scene-Grounded Video Representations.
CoRR
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 Keck, João Carreira, Alexey Dosovitskiy, Mehdi S. M. Sajjadi, Thomas Kipf
2024 J jnl
Scaling 4D Representations.
CoRR
João Carreira, Dilara Gokay, Michael King, Chuhan Zhang, Ignacio Rocco, Aravindh Mahendran, Thomas Keck, Joseph Heyward, Skanda Koppula, Etienne Pot, Goker Erdogan, Yana Hasson, Yi Yang, Klaus Greff, Guillaume Le Moing, Sjoerd van Steenkiste, Daniel Zoran, Drew A. Hudson, Pedro Vélez, Luisa F. Polanía, Luke Friedman, Chris Duvarney, Ross Goroshin, Kelsey R. Allen, Jacob C. Walker, Rishabh Kabra, Eric Aboussouan, Jennifer J. Sun, Thomas Kipf, Carl Doersch, Viorica Patraucean, Dima Damen, Pauline Luc, Mehdi S. M. Sajjadi, Andrew Zisserman
2023 J jnl
AudioSlots: A slot-centric generative model for audio separation.
CoRR
Pradyumna Reddy, Scott Wisdom, Klaus Greff, John R. Hershey, Thomas Kipf
2023 — conf
Audioslots: A Slot-Centric Generative Model For Audio Separation.
ICASSP Workshops
Pradyumna Reddy, Scott Wisdom, Klaus Greff, John R. Hershey, Thomas Kipf
2023 J jnl
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos.
CoRR
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
2023 J jnl
Getting aligned on representational alignment.
CoRR
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, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O'Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, Thomas L. Griffiths
2023 A* conf
PaLM-E: An Embodied Multimodal Language Model.
ICML
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
2023 J jnl
PaLM-E: An Embodied Multimodal Language Model.
CoRR
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
2023 A* conf
RUST: Latent Neural Scene Representations from Unposed Imagery.
CVPR
Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff
2023 J jnl
Sensitivity of Slot-Based Object-Centric Models to their Number of Slots.
CoRR
Roland S. Zimmermann, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Thomas Kipf, Klaus Greff
2023 A* conf
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models.
ICLR
Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg
2022 A* conf
Conditional Object-Centric Learning from Video.
ICLR
Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
2022 A* conf
Kubric: A scalable dataset generator.
CVPR
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 H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, 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
2022 J jnl
Kubric: A scalable dataset generator.
CoRR
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 H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, Cengiz Öztireli, 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
2022 J jnl
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes.
Trans. Mach. Learn. Res.
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
2022 A* conf
Object Scene Representation Transformer.
NeurIPS
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
2022 J jnl
Object Scene Representation Transformer.
CoRR
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
2022 J jnl
RUST: Latent Neural Scene Representations from Unposed Imagery.
CoRR
Mehdi S. M. Sajjadi, Aravindh Mahendran, Thomas Kipf, Etienne Pot, Daniel Duckworth, Mario Lucic, Klaus Greff
2022 A* conf
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.
NeurIPS
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf
2022 J jnl
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos.
CoRR
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf
2022 A* conf
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations.
CVPR
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, Andrea Tagliasacchi
2022 J jnl
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models.
CoRR
Ziyi Wu, Nikita Dvornik, Klaus Greff, Thomas Kipf, Animesh Garg
2021 J jnl
Conditional Object-Centric Learning from Video.
CoRR
Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff
2021 J jnl
NeSF: Neural Semantic Fields for Generalizable Semantic Segmentation of 3D Scenes.
CoRR
Suhani Vora, Noha Radwan, Klaus Greff, Henning Meyer, Kyle Genova, Mehdi S. M. Sajjadi, Etienne Pot, Andrea Tagliasacchi, Daniel Duckworth
2021 J jnl
Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations.
CoRR
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, Andrea Tagliasacchi
2020 J jnl
Learning Object-Centric Video Models by Contrasting Sets.
CoRR
Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf
2020 J jnl
On the Binding Problem in Artificial Neural Networks.
CoRR
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2019 J jnl
A Perspective on Objects and Systematic Generalization in Model-Based RL.
CoRR
Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber
2019 A* conf
Multi-Object Representation Learning with Iterative Variational Inference.
ICML
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loic Matthey, Matthew M. Botvinick, Alexander Lerchner
2019 J jnl
Multi-Object Representation Learning with Iterative Variational Inference.
CoRR
Klaus Greff, Raphaël Lopez Kaufman, Rishabh Kabra, Nick Watters, Chris Burgess, Daniel Zoran, Loïc Matthey, Matthew M. Botvinick, Alexander Lerchner
2018 — conf
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions.
ICLR (Poster)
Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber
2018 J jnl
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions.
CoRR
Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber
2017 — conf
Highway and Residual Networks learn Unrolled Iterative Estimation.
ICLR (Poster)
Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2017 J jnl
LSTM: A Search Space Odyssey.
IEEE Trans. Neural Networks Learn. Syst.
Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber
2017 — conf
Neural Expectation Maximization.
ICLR (Workshop)
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2017 — conf
Neural Expectation Maximization.
NIPS
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2017 J jnl
Neural Expectation Maximization.
CoRR
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2017 — conf
The Sacred Infrastructure for Computational Research.
SciPy
Klaus Greff, Aaron Klein, Martin Chovanec, Frank Hutter, Jürgen Schmidhuber
2016 J jnl
Discovering Boolean Gates in Slime Mould.
CoRR
Simon Harding, Jan Koutník, Klaus Greff, Jürgen Schmidhuber, Andy Adamatzky
2016 J jnl
Highway and Residual Networks learn Unrolled Iterative Estimation.
CoRR
Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2016 A* conf
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters.
ICML
Jelena Luketina, Tapani Raiko, Mathias Berglund, Klaus Greff
2016 — conf
Tagger: Deep Unsupervised Perceptual Grouping.
NIPS
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Harri Valpola, Jürgen Schmidhuber
2016 J jnl
Tagger: Deep Unsupervised Perceptual Grouping.
CoRR
Klaus Greff, Antti Rasmus, Mathias Berglund, Tele Hotloo Hao, Jürgen Schmidhuber, Harri Valpola
2015 J jnl
Binding via Reconstruction Clustering.
CoRR
Klaus Greff, Rupesh Kumar Srivastava, Jürgen Schmidhuber
2015 J jnl
Highway Networks.
CoRR
Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2015 J jnl
LSTM: A Search Space Odyssey.
CoRR
Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber
2015 J jnl
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters.
CoRR
Jelena Luketina, Mathias Berglund, Klaus Greff, Tapani Raiko
2015 — conf
Training Very Deep Networks.
NIPS
Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2015 J jnl
Training Very Deep Networks.
CoRR
Rupesh Kumar Srivastava, Klaus Greff, Jürgen Schmidhuber
2014 A* conf
A Clockwork RNN.
ICML
Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber
2014 J jnl
A Clockwork RNN.
CoRR
Jan Koutník, Klaus Greff, Faustino J. Gomez, Jürgen Schmidhuber
2012 — conf
A Comparison between Background Subtraction Algorithms using a Consumer Depth Camera.
VISAPP (1)
Klaus Greff, André Brandão, Stephan Krauß, Didier Stricker, Esteban Clua
2012 J jnl
Visual Steering and Verification of Mass Spectrometry Data Factorization in Air Quality Research.
IEEE Trans. Vis. Comput. Graph.
Daniel Engel, Klaus Greff, Christoph Garth, Keith Bein, Anthony S. Wexler, Bernd Hamann, Hans Hagen