Sjoerd van Steenkiste

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 48

Top Topics

Unsupervised Learning

Expectation Maximization

Wavelet Transformed

Top Venues

Publications

Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
DORSal: Diffusion for Object-centric Representations of Scenes et al. ICLR (2024)
Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen
The Impact of Depth on Compositional Generalization in Transformer Language Models. NAACL-HLT (2024)
Shravan Nayak, Kanishk Jain, Rabiul Awal, Siva Reddy, Sjoerd van Steenkiste, Lisa Anne Hendricks, Karolina Stanczak, Aishwarya Agrawal
Benchmarking Vision Language Models for Cultural Understanding. CoRR (2024)
Tiwalayo Eisape, Michael Henry Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. NAACL-HLT (2024)
Ziyi Wu, Yulia Rubanova, Rishabh Kabra, Drew A. Hudson, Igor Gilitschenski, Yusuf Aytar, Sjoerd van Steenkiste, Kelsey R. Allen, Thomas Kipf
Neural Assets: 3D-Aware Multi-Object Scene Synthesis with Image Diffusion Models. CoRR (2024)
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. ICLR (2024)
Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Thomas Kipf
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. ICML (2023)
Jiao Sun, Deqing Fu, Yushi Hu, Su Wang, Royi Rassin, Da-Cheng Juan, Dana Alon, Charles Herrmann, Sjoerd van Steenkiste, Ranjay Krishna, Cyrus Rashtchian
DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback. CoRR (2023)
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 Vasconcelos, Yi Tay, Thomas Mensink, Alexander Kolesnikov, Filip Pavetic, Dustin Tran, Thomas Kipf, Mario Lucic, Xiaohua Zhai, Daniel Keysers, Jeremiah Harmsen, Neil Houlsby
Scaling Vision Transformers to 22 Billion Parameters. CoRR (2023)
Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
Unsupervised Learning of Temporal Abstractions With Slot-Based Transformers. Neural Comput. 35 (4) (2023)
Roland S. Zimmermann, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Thomas Kipf, Klaus Greff
Sensitivity of Slot-Based Object-Centric Models to their Number of Slots. CoRR (2023)
Maximilian Seitzer, Sjoerd van Steenkiste, Thomas Kipf, Klaus Greff, Mehdi S. M. Sajjadi
DyST: Towards Dynamic Neural Scene Representations on Real-World Videos. CoRR (2023)
Tiwalayo Eisape, Mh Tessler, Ishita Dasgupta, Fei Sha, Sjoerd van Steenkiste, Tal Linzen
A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models. CoRR (2023)
Mihir Prabhudesai, Anirudh Goyal, Sujoy Paul, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gaurav Aggarwal, Thomas Kipf, Deepak Pathak, Katerina Fragkiadaki
Test-time Adaptation with Slot-Centric Models. ICML (2023)
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
Scaling Vision Transformers to 22 Billion Parameters. ICML (2023)
Jackson Petty, Sjoerd van Steenkiste, Ishita Dasgupta, Fei Sha, Dan Garrette, Tal Linzen
The Impact of Depth and Width on Transformer Language Model Generalization. CoRR (2023)
Allan Jabri, Sjoerd van Steenkiste, Emiel Hoogeboom, Mehdi S. M. Sajjadi, Thomas Kipf
DORSal: Diffusion for Object-centric Representations of Scenes et al.. CoRR (2023)
Ondrej Biza, Sjoerd van Steenkiste, Mehdi S. M. Sajjadi, Gamaleldin F. Elsayed, Aravindh Mahendran, Thomas Kipf
Invariant Slot Attention: Object Discovery with Slot-Centric Reference Frames. CoRR (2023)
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos. CoRR (2022)
Gamaleldin F. Elsayed, Aravindh Mahendran, Sjoerd van Steenkiste, Klaus Greff, Michael C. Mozer, Thomas Kipf
SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos. NeurIPS (2022)
Anand Gopalakrishnan, Kazuki Irie, Jürgen Schmidhuber, Sjoerd van Steenkiste
Unsupervised Learning of Temporal Abstractions with Slot-based Transformers. CoRR (2022)
Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
Exploring through Random Curiosity with General Value Functions. NeurIPS (2022)
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
Object Scene Representation Transformer. NeurIPS (2022)
Aditya Ramesh, Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
Exploring through Random Curiosity with General Value Functions. CoRR (2022)
Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran, Sjoerd van Steenkiste, Filip Pavetic, Mario Lucic, Leonidas J. Guibas, Klaus Greff, Thomas Kipf
Object Scene Representation Transformer. CoRR (2022)
Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
Hierarchical Relational Inference. AAAI (2021)
Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks. ICLR (2021)
Joël M. H. Karel, Sjoerd van Steenkiste, Ralf L. M. Peeters
The Design of Matched Balanced Orthogonal Multiwavelets. Frontiers Appl. Math. Stat. 7 (2021)
Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
Unsupervised Object Keypoint Learning using Local Spatial Predictability. ICLR (2021)
Sjoerd van Steenkiste, Karol Kurach, Jürgen Schmidhuber, Sylvain Gelly
Investigating object compositionality in Generative Adversarial Networks. Neural Networks 130 (2020)
Róbert Csordás, Sjoerd van Steenkiste, Jürgen Schmidhuber
Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks. CoRR (2020)
Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
Improving Generalization in Meta Reinforcement Learning using Learned Objectives. ICLR (2020)
Aleksandar Stanic, Sjoerd van Steenkiste, Jürgen Schmidhuber
Hierarchical Relational Inference. CoRR (2020)
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
On the Binding Problem in Artificial Neural Networks. CoRR (2020)
Anand Gopalakrishnan, Sjoerd van Steenkiste, Jürgen Schmidhuber
Unsupervised Object Keypoint Learning using Local Spatial Predictability. CoRR (2020)
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem
Are Disentangled Representations Helpful for Abstract Visual Reasoning? CoRR (2019)
Sjoerd van Steenkiste, Klaus Greff, Jürgen Schmidhuber
A Perspective on Objects and Systematic Generalization in Model-Based RL. CoRR (2019)
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
FVD: A new Metric for Video Generation. DGS@ICLR (2019)
Louis Kirsch, Sjoerd van Steenkiste, Jürgen Schmidhuber
Improving Generalization in Meta Reinforcement Learning using Learned Objectives. CoRR (2019)
Sjoerd van Steenkiste, Francesco Locatello, Jürgen Schmidhuber, Olivier Bachem
Are Disentangled Representations Helpful for Abstract Visual Reasoning? NeurIPS (2019)
Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. CoRR (2018)
Thomas Unterthiner, Sjoerd van Steenkiste, Karol Kurach, Raphaël Marinier, Marcin Michalski, Sylvain Gelly
Towards Accurate Generative Models of Video: A New Metric & Challenges. CoRR (2018)
Sjoerd van Steenkiste, Karol Kurach, Sylvain Gelly
A Case for Object Compositionality in Deep Generative Models of Images. CoRR (2018)
Sjoerd van Steenkiste, Michael Chang, Klaus Greff, Jürgen Schmidhuber
Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions. ICLR (Poster) (2018)
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
Neural Expectation Maximization. CoRR (2017)
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
Neural Expectation Maximization. ICLR (Workshop) (2017)
Klaus Greff, Sjoerd van Steenkiste, Jürgen Schmidhuber
Neural Expectation Maximization. NIPS (2017)
Sjoerd van Steenkiste, Jan Koutník, Kurt Driessens, Jürgen Schmidhuber
A Wavelet-based Encoding for Neuroevolution. GECCO (2016)