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The Impact of Negative Sampling on Contrastive Structured World Models


Jul 24, 2021
Ondrej Biza, Elise van der Pol, Thomas Kipf

* This work appeared at the ICML 2021 Workshop: Self-Supervised Learning for Reasoning and Perception 

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Reasoning-Modulated Representations


Jul 19, 2021
Petar Veličković, Matko Bošnjak, Thomas Kipf, Alexander Lerchner, Raia Hadsell, Razvan Pascanu, Charles Blundell

* ICML 2021 Workshop on Self-Supervised Learning for Reasoning and Perception (Spotlight Talk). 7 pages, 3 figures 

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Learning Object-Centric Video Models by Contrasting Sets


Nov 20, 2020
Sindy Löwe, Klaus Greff, Rico Jonschkowski, Alexey Dosovitskiy, Thomas Kipf

* NeurIPS 2020 Workshop on Object Representations for Learning and Reasoning 

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Object-Centric Learning with Slot Attention


Jun 26, 2020
Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf


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Plannable Approximations to MDP Homomorphisms: Equivariance under Actions


Feb 27, 2020
Elise van der Pol, Thomas Kipf, Frans A. Oliehoek, Max Welling

* To appear in Proceedings of the International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2020) 

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Contrastive Learning of Structured World Models


Jan 05, 2020
Thomas Kipf, Elise van der Pol, Max Welling

* ICLR 2020 

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Image-Conditioned Graph Generation for Road Network Extraction


Oct 31, 2019
Davide Belli, Thomas Kipf

* Presented at NeurIPS 2019 Workshop on Graph Representation Learning 

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Compositional Imitation Learning: Explaining and executing one task at a time


Dec 04, 2018
Thomas Kipf, Yujia Li, Hanjun Dai, Vinicius Zambaldi, Edward Grefenstette, Pushmeet Kohli, Peter Battaglia

* Presented at the Learning by Instruction (LBI) Workshop at NeurIPS 2018 

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Graph Refinement based Tree Extraction using Mean-Field Networks and Graph Neural Networks


Nov 21, 2018
Raghavendra Selvan, Thomas Kipf, Max Welling, Jesper H Pedersen, Jens Petersen, Marleen de Bruijne

* 10 pages. Journal preprint 

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Towards Sparse Hierarchical Graph Classifiers


Nov 03, 2018
Cătălina Cangea, Petar Veličković, Nikola Jovanović, Thomas Kipf, Pietro Liò

* To appear in the Workshop on Relational Representation Learning (R2L) at NIPS 2018. 6 pages, 3 figures 

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Hyperspherical Variational Auto-Encoders


Sep 26, 2018
Tim R. Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, Jakub M. Tomczak

* Uncertainty in Artificial Intelligence (UAI). Proceedings of the Thirty-Fourth Conference (2018) 856- 865 
* GitHub repository: http://github.com/nicola-decao/s-vae-tf, Blogpost: https://nicola-decao.github.io/s-vae 

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Neural Relational Inference for Interacting Systems


Jun 06, 2018
Thomas Kipf, Ethan Fetaya, Kuan-Chieh Wang, Max Welling, Richard Zemel

* ICML (2018). Code available under https://github.com/ethanfetaya/NRI 

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MolGAN: An implicit generative model for small molecular graphs


May 30, 2018
Nicola De Cao, Thomas Kipf

* 11 pages, 3 figures, 3 tables 

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Extraction of Airways using Graph Neural Networks


Apr 12, 2018
Raghavendra Selvan, Thomas Kipf, Max Welling, Jesper H. Pedersen, Jens Petersen, Marleen de Bruijne

* Extended Abstract submitted to MIDL, 2018. 3 pages 

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