Variational Graph Auto-Encoders. - Thomas N. Kipf; Max Welling (CoRR, 2016)

Semi-Supervised Classification with Graph Convolutional Networks. - Thomas N. Kipf; Max Welling (ICLR (Poster), 2017)

Graph Convolutional Matrix Completion. - Rianne van den Berg; Thomas N. Kipf; Max Welling (CoRR, 2017)

Modeling Relational Data with Graph Convolutional Networks. - Michael Sejr Schlichtkrull; Thomas N. Kipf; Peter Bloem; Rianne van den Berg; Ivan Titov 001; Max Welling (ESWC, 2018)

Neural Relational Inference for Interacting Systems. - Thomas N. Kipf; Ethan Fetaya; Kuan-Chieh Wang; Max Welling; Richard S. Zemel (ICML, 2018)

Hyperspherical Variational Auto-Encoders. - Tim R. Davidson; Luca Falorsi; Nicola De Cao; Thomas Kipf; Jakub M. Tomczak (UAI, 2018)

Extraction of Airways using Graph Neural Networks. - Raghavendra Selvan; Thomas N. Kipf; Max Welling; Jesper Holst Pedersen; Jens Petersen; Marleen de Bruijne (CoRR, 2018)

MolGAN: An implicit generative model for small molecular graphs. - Nicola De Cao; Thomas Kipf (CoRR, 2018)

Towards Sparse Hierarchical Graph Classifiers. - Catalina Cangea; Petar Velickovic; Nikola Jovanovic 001; Thomas Kipf; Pietro Liò (CoRR, 2018)

Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks. - Raghavendra Selvan; Thomas N. Kipf; Max Welling; Jesper Holst Pedersen; Jens Petersen; Marleen de Bruijne (CoRR, 2018)

Compositional Imitation Learning: Explaining and executing one task at a time. - Thomas Kipf; Yujia Li 001; Hanjun Dai; Vinícius Flores Zambaldi; Edward Grefenstette; Pushmeet Kohli; Peter W. Battaglia (CoRR, 2018)

Learned Cardinalities: Estimating Correlated Joins with Deep Learning. - Andreas Kipf; Thomas Kipf; Bernhard Radke; Viktor Leis; Peter A. Boncz; Alfons Kemper (CIDR, 2019)

CompILE: Compositional Imitation Learning and Execution. - Thomas Kipf; Yujia Li 001; Hanjun Dai; Vinícius Flores Zambaldi; Alvaro Sanchez-Gonzalez; Edward Grefenstette; Pushmeet Kohli; Peter W. Battaglia (ICML, 2019)

Estimating Cardinalities with Deep Sketches. - Andreas Kipf; Dimitri Vorona; Jonas Müller; Thomas Kipf; Bernhard Radke; Viktor Leis; Peter A. Boncz; Thomas Neumann 001; Alfons Kemper (SIGMOD Conference, 2019)

Image-Conditioned Graph Generation for Road Network Extraction. - Davide Belli; Thomas Kipf (CoRR, 2019)

Plannable Approximations to MDP Homomorphisms: Equivariance under Actions. - Elise van der Pol; Thomas Kipf; Frans A. Oliehoek; Max Welling (AAMAS, 2020)

Contrastive Learning of Structured World Models. - Thomas N. Kipf; Elise van der Pol; Max Welling (ICLR, 2020)

Object-Centric Learning with Slot Attention. - Francesco Locatello; Dirk Weissenborn; Thomas Unterthiner; Aravindh Mahendran; Georg Heigold; Jakob Uszkoreit; Alexey Dosovitskiy; Thomas Kipf (NeurIPS, 2020)

Learning Object-Centric Video Models by Contrasting Sets. - Sindy Löwe; Klaus Greff; Rico Jonschkowski; Alexey Dosovitskiy; Thomas Kipf (CoRR, 2020)

Graph refinement based airway extraction using mean-field networks and graph neural networks. - Raghavendra Selvan; Thomas Kipf; Max Welling; Antonio Garcia-Uceda Juarez; Jesper Holst Pedersen; Jens Petersen; Marleen de Bruijne (Medical Image Anal., 2020)

The Impact of Negative Sampling on Contrastive Structured World Models. - Ondrej Biza; Elise van der Pol; Thomas Kipf (CoRR, 2021)

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; et al. (CVPR, 2022)

Simple Open-Vocabulary Object Detection. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (ECCV (10), 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 (ICLR, 2022)

Reasoning-Modulated Representations. - Petar Velickovic; Matko Bosnjak; Thomas Kipf; Alexander Lerchner; Raia Hadsell; Razvan Pascanu; Charles Blundell (LoG, 2022)

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

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

Factored World Models for Zero-Shot Generalization in Robotic Manipulation. - Ondrej Biza; Thomas Kipf; David Klee; Robert Platt Jr. 001; Jan-Willem van de Meent; Lawson L. S. Wong (CoRR, 2022)

Symmetry Group Equivariant Architectures for Physics. - Alexander Bogatskiy; Sanmay Ganguly; Thomas Kipf; Risi Kondor; David W. Miller; Daniel Murnane; Jan T. Offermann; Mariel Pettee; Phiala E. Shanahan; Chase Shimmin; Savannah Thais (CoRR, 2022)

Binding Actions to Objects in World Models. - Ondrej Biza; Robert Platt 001; Jan-Willem van de Meent; Lawson L. S. Wong; Thomas Kipf (CoRR, 2022)

Simple Open-Vocabulary Object Detection with Vision Transformers. - Matthias Minderer; Alexey A. Gritsenko; Austin Stone; Maxim Neumann; Dirk Weissenborn; Alexey Dosovitskiy; Aravindh Mahendran; Anurag Arnab; Mostafa Dehghani 001; Zhuoran Shen; Xiao Wang 038; Xiaohua Zhai; et al. (CoRR, 2022)

One-shot Imitation Learning via Interaction Warping. - Ondrej Biza; Skye Thompson; Kishore Reddy Pagidi; Abhinav Kumar; Elise van der Pol; Robin Walters 001; Thomas Kipf; Jan-Willem van de Meent; Lawson L. S. Wong; Robert Platt 001 (CoRL, 2023)

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

Audioslots: A Slot-Centric Generative Model For Audio Separation. - Pradyumna Reddy; Scott Wisdom; Klaus Greff; John R. Hershey; Thomas Kipf (ICASSP Workshops, 2023)

Video OWL-ViT: Temporally-consistent open-world localization in video. - Georg Heigold; Daniel Keysers; Matthias Minderer; Mario Lucic; Alexey A. Gritsenko; Fisher Yu 001; Alex Bewley; Thomas Kipf (ICCV, 2023)

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

Scaling Vision Transformers to 22 Billion Parameters. - Mostafa Dehghani 001; Josip Djolonga; Basil Mustafa; Piotr Padlewski; Jonathan Heek; Justin Gilmer; Andreas Peter Steiner; Mathilde Caron; Robert Geirhos; Ibrahim Alabdulmohsin; Rodolphe Jenatton; Lucas Beyer; et al. (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 (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 (ICML, 2023)

Sensitivity of Slot-Based Object-Centric Models to their Number of Slots. - Roland S. Zimmermann; Sjoerd van Steenkiste; Mehdi S. M. Sajjadi; Thomas Kipf; Klaus Greff (CoRR, 2023)

Towards Better Out-of-Distribution Generalization of Neural Algorithmic Reasoning Tasks. - Sadegh Mahdavi; Kevin Swersky; Thomas Kipf; Milad Hashemi; Christos Thrampoulidis; Renjie Liao (Trans. Mach. Learn. Res., 2023)

DORSal: Diffusion for Object-centric Representations of Scenes 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 (ICLR, 2024)

Learning 3D Particle-based Simulators from RGB-D Videos. - William F. Whitney; Tatiana Lopez-Guevara; Tobias Pfaff; Yulia Rubanova; Thomas Kipf; Kim Stachenfeld; Kelsey R. Allen (ICLR, 2024)

SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. - Ziniu Hu; Ahmet Iscen; Aashi Jain; Thomas Kipf; Yisong Yue; David A. Ross; Cordelia Schmid; Alireza Fathi (ICML, 2024)

Moving Off-the-Grid: Scene-Grounded Video Representations. - Sjoerd van Steenkiste; Daniel Zoran; Yi Yang 007; Yulia Rubanova; Rishabh Kabra; Carl Doersch; Dilara Gokay; Joseph Heyward; Etienne Pot; Klaus Greff; Drew A. Hudson; Thomas Keck; et al. (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 (NeurIPS, 2024)

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. - Ziniu Hu; Ahmet Iscen; Aashi Jain; Thomas Kipf; Yisong Yue; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2024)

Scaling 4D Representations. - João Carreira 001; Dilara Gokay; Michael King; Chuhan Zhang; Ignacio Rocco; Aravindh Mahendran; Thomas Keck; Joseph Heyward; Skanda Koppula; Etienne Pot; Goker Erdogan; Yana Hasson; et al. (CoRR, 2024)

Interaction Asymmetry: A General Principle for Learning Composable Abstractions. - Jack Brady; Julius von Kügelgen; Sébastien Lachapelle; Simon Buchholz; Thomas Kipf; Wieland Brendel (ICLR, 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 Murphy; João Carreira 001; Sjoerd van Steenkiste (CoRR, 2025)