Sjoerd van Steenkiste

63 papers A* 17A 1Journal 37Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Bayesian Teaching Enables Probabilistic Reasoning in Large Language Models. CoRR Linlu Qiu, Fei Sha, Kelsey R. Allen, Yoon Kim, Tal Linzen, Sjoerd van Steenkiste
2025	—	`conf`	CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics. EMNLP (Findings) Shravan Nayak, Mehar Bhatia, Xiaofeng Zhang, Verena Rieser, Lisa Anne Hendricks, Sjoerd van Steenkiste, Yash Goyal, Karolina Stanczak, Aishwarya Agrawal
2025	J	`jnl`	CulturalFrames: Assessing Cultural Expectation Alignment in Text-to-Image Models and Evaluation Metrics. CoRR Shravan Nayak, Mehar Bhatia, Xiaofeng Zhang, Verena Rieser, Lisa Anne Hendricks, Sjoerd van Steenkiste, Yash Goyal, Karolina Stanczak, Aishwarya Agrawal
2025	A*	`conf`	Direct Motion Models for Assessing Generated Videos. ICML Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Patrick Murphy, João Carreira, Sjoerd van Steenkiste
2025	J	`jnl`	Direct Motion Models for Assessing Generated Videos. CoRR Kelsey R. Allen, Carl Doersch, Guangyao Zhou, Mohammed Suhail, Danny Driess, Ignacio Rocco, Yulia Rubanova, Thomas Kipf, Mehdi S. M. Sajjadi, Kevin Murphy, João Carreira, Sjoerd van Steenkiste
2025	—	`conf`	DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. NAACL (Long Papers) Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian
2025	J	`jnl`	How Does Code Pretraining Affect Language Model Task Performance? Trans. Mach. Learn. Res. Jackson Petty, Sjoerd van Steenkiste, Tal Linzen
2025	J	`jnl`	Neural USD: An object-centric framework for iterative editing and control. CoRR Alejandro Escontrela, Shrinu Kushagra, Sjoerd van Steenkiste, Yulia Rubanova, Aleksander Holynski, Kelsey R. Allen, Kevin Murphy, Thomas Kipf
2024	—	`conf`	A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. NAACL-HLT Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen
2024	A*	`conf`	Benchmarking Vision Language Models for Cultural Understanding. EMNLP Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal
2024	J	`jnl`	Benchmarking Vision Language Models for Cultural Understanding. CoRR Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal
2024	A*	`conf`	DORSal: Diffusion for Object-centric Representations of Scenes et al. ICLR Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
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	J	`jnl`	How Does Code Pretraining Affect Language Model Task Performance? CoRR Jackson Petty, Sjoerd van Steenkiste, Tal Linzen
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	A*	`conf`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. NeurIPS Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
2024	J	`jnl`	Probabilistic Inverse Cameras: Image to 3D via Multiview Geometry. CoRR Rishabh Kabra, Drew A. Hudson, Sjoerd van Steenkiste, João Carreira, Niloy J. Mitra
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
2024	—	`conf`	The Impact of Depth on Compositional Generalization in Transformer Language Models. NAACL-HLT Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen
2023	J	`jnl`	A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. CoRR Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen
2023	J	`jnl`	DORSal: Diffusion for Object-centric Representations of Scenes et al.. CoRR Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
2023	J	`jnl`	DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. CoRR Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian
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	A*	`conf`	Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. ICML Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf
2023	J	`jnl`	Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. CoRR Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf
2023	A*	`conf`	Scaling Vision Transformers to 22 Billion Parameters. ICML 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
2023	J	`jnl`	Scaling Vision Transformers to 22 Billion Parameters. CoRR Mostafa Dehghani, Josip Djolonga, Basil Mustafa, Piotr Padlewski, Jonathan Heek, Justin Gilmer, Andreas Steiner, Mathilde Caron, Robert Geirhos, Ibrahim Alabdulmohsin, Rodolphe Jenatton, Lucas Beyer, Michael Tschannen, Anurag Arnab, Xiao Wang, Carlos Riquelme, Matthias Minderer, Joan Puigcerver, Utku Evci, Manoj Kumar, Sjoerd van Steenkiste, Gamaleldin F. Elsayed, Aravindh Mahendran, Fisher Yu, Avital Oliver, Fantine Huot, Jasmijn Bastings, Mark Patrick 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 Harmsen, Neil Houlsby
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`	Test-time Adaptation with Slot-Centric Models. ICML Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki
2023	J	`jnl`	The Impact of Depth and Width on Transformer Language Model Generalization. CoRR Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen
2023	J	`jnl`	Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Comput. Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
2022	A*	`conf`	Exploring through Random Curiosity with General Value Functions. NeurIPS Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2022	J	`jnl`	Exploring through Random Curiosity with General Value Functions. CoRR Aditya A. Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
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	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	J	`jnl`	Unsupervised Learning of Temporal Abstractions with Slot-based Transformers. CoRR Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
2021	A*	`conf`	Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks. ICLR Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber
2021	A*	`conf`	Hierarchical Relational Inference. AAAI Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
2021	J	`jnl`	The Design of Matched Balanced Orthogonal Multiwavelets. Frontiers Appl. Math. Stat. Joël M. H. Karel, Sjoerd van Steenkiste, Ralf L. M. Peeters
2021	A*	`conf`	Unsupervised Object Keypoint Learning using Local Spatial Predictability. ICLR Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks. CoRR Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Hierarchical Relational Inference. CoRR Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	A*	`conf`	Improving Generalization in Meta Reinforcement Learning using Learned Objectives. ICLR Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Investigating object compositionality in Generative Adversarial Networks. Neural Networks Sjoerd van Steenkiste, Karol Kurach, Jürgen Schmidhuber, Sylvain Gelly
2020	J	`jnl`	On the Binding Problem in Artificial Neural Networks. CoRR Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
2020	J	`jnl`	Unsupervised Object Keypoint Learning using Local Spatial Predictability. CoRR Anand Gopalakrishnan, 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`	Are Disentangled Representations Helpful for Abstract Visual Reasoning? NeurIPS Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem
2019	J	`jnl`	Are Disentangled Representations Helpful for Abstract Visual Reasoning? CoRR Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem
2019	—	`conf`	FVD: A new Metric for Video Generation. DGS@ICLR Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
2019	J	`jnl`	Improving Generalization in Meta Reinforcement Learning using Learned Objectives. CoRR Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
2018	J	`jnl`	A Case for Object Compositionality in Deep Generative Models of Images. CoRR Sjoerd van Steenkiste, Karol Kurach, Sylvain Gelly
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
2018	J	`jnl`	Towards Accurate Generative Models of Video: A New Metric & Challenges. CoRR Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
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
2016	A	`conf`	A Wavelet-based Encoding for Neuroevolution. GECCO Sjoerd van Steenkiste, Jan Koutník, Kurt Driessens, Jürgen Schmidhuber