van Steenkiste, Sjoerd

29 publications

ICML 2025 Direct Motion Models for Assessing Generated Videos Kelsey R Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, Joao Carreira, Sjoerd Van Steenkiste

TMLR 2025 How Does Code Pretraining Affect Language Model Task Performance? Jackson Petty, Sjoerd van Steenkiste, Tal Linzen

NeurIPSW 2024 Can Language Models Perform Implicit Bayesian Inference over User Preference States? Linlu Qiu, Fei Sha, Kelsey R Allen, Yoon Kim, Tal Linzen, Sjoerd van Steenkiste

ICLR 2024 DORSal: Diffusion for Object-Centric Representations of Scenes $\textit{et Al.}$ Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf

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

NeurIPS 2024 Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf

ICML 2023 Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames Ondrej Biza, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, 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 Scaling Vision Transformers to 22 Billion Parameters Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Peter Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme Ruiz, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd Van Steenkiste, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Collier, Alexey A. Gritsenko, Vighnesh Birodkar, Cristina Nader Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah J. Harmsen, Neil Houlsby

ICML 2023 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd Van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki

NeurIPS 2022 Exploring Through Random Curiosity with General Value Functions Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber

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

NeurIPSW 2022 Spatial Symmetry in Slot Attention Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf

NeurIPSW 2022 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf

NeurIPSW 2022 Test-Time Adaptation with Slot-Centric Models Mihir Prabhudesai, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Anirudh Goyal, Deepak Pathak, Katerina Fragkiadaki, Gaurav Aggarwal, Thomas Kipf

ICLR 2021 Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber

NeurIPSW 2021 Exploring Through Random Curiosity with General Value Functions Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber

AAAI 2021 Hierarchical Relational Inference Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber

NeurIPSW 2021 Unsupervised Learning of Temporal Abstractions Using Slot-Based Transformers Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste

ICLR 2021 Unsupervised Object Keypoint Learning Using Local Spatial Predictability Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber

ICLR 2020 Improving Generalization in Meta Reinforcement Learning Using Learned Objectives Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber

NeurIPS 2019 Are Disentangled Representations Helpful for Abstract Visual Reasoning? Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem

ICLRW 2019 FVD: A New Metric for Video Generation Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly

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