Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

Contrastive Learning of Structured World Models

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

* ICLR 2020 

  Access Paper or Ask Questions

Image-Conditioned Graph Generation for Road Network Extraction

Oct 31, 2019
Davide Belli, Thomas Kipf

* Presented at NeurIPS 2019 Workshop on Graph Representation Learning 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

MolGAN: An implicit generative model for small molecular graphs

May 30, 2018
Nicola De Cao, Thomas Kipf

* 11 pages, 3 figures, 3 tables 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions