Thomas Kipf

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Max WellingDistinguished Scientist at MSR AI4Science & Professor Machine Learning, University of AmsterdamVerified email at uva.nl
Nicola De CaoResearch Scientist at Google DeepMindVerified email at google.com
Aravindh MahendranGoogle DeepmindVerified email at google.com
Rianne van den BergPrincipal Research Manager, Microsoft ResearchVerified email at microsoft.com
Ivan TitovUniversity of Edinburgh / University of AmsterdamVerified email at inf.ed.ac.uk
Klaus GreffResearch Scientist at Google BrainVerified email at usi.ch
Alexey DosovitskiyInceptiveVerified email at inceptive.team
Peter BloemVrije Universiteit AmsterdamVerified email at peterbloem.nl
Michael Sejr SchlichtkrullLecturer, Queen Mary University of LondonVerified email at qmul.ac.uk
Georg HeigoldResearch Scientist, Google Inc.Verified email at google.com
Sjoerd van SteenkisteResearch Scientist at Google ResearchVerified email at google.com
Dirk WeissenbornInceptive Inc.Verified email at inceptive.team
Jakob UszkoreitInceptiveVerified email at uszkoreit.net
Mehdi S. M. SajjadiSenior Research Scientist, Google DeepMindVerified email at google.com
Gamaleldin ElsayedSenior Research Scientist, Google Research, Brain TeamVerified email at google.com
Petar VeličkovićStaff Research Scientist, Google DeepMind | Affiliated Lecturer, University of CambridgeVerified email at google.com
Jakub M. TomczakAssociate professor at Eindhoven University of TechnologyVerified email at tue.nl
Francesco LocatelloAssistant Professor, ISTAVerified email at ista.ac.at
Thomas UnterthinerGoogle DeepMindVerified email at pm.me
Elise van der PolMicrosoft ResearchVerified email at microsoft.com

Thomas Kipf

Other namesThomas N. Kipf

Senior Research Scientist, Google DeepMind

Verified email at google.com - Homepage

Machine Learning Graph Representation Learning Graph Neural Networks


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Semi-supervised classification with graph convolutional networks TN Kipf, M Welling International Conference on Learning Representations (ICLR), 2016	33233	2016
Modeling Relational Data with Graph Convolutional Networks M Schlichtkrull, TN Kipf, P Bloem, R Berg, I Titov, M Welling Extended Semantic Web Conference (ESWC), 2017	4890	2017
Variational Graph Auto-Encoders TN Kipf, M Welling NeurIPS Workshop on Bayesian Deep Learning (NeurIPS BDL), 2016	2697	2016
Graph convolutional matrix completion R Berg, TN Kipf, M Welling KDD Deep Learning Day (KDD DLD), 2017	1480	2017
MolGAN: An implicit generative model for small molecular graphs N De Cao, T Kipf ICML Workshop on Theoretical Foundations and Applications of Deep …, 2018	1023	2018
Neural Relational Inference for Interacting Systems T Kipf, E Fetaya, KC Wang, M Welling, R Zemel International Conference on Machine Learning (ICML), 2018	908	2018
Object-Centric Learning with Slot Attention F Locatello*, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ... Advances in Neural Information Processing Systems (NeurIPS), 2020	636	2020
Hyperspherical Variational Auto-Encoders TR Davidson, L Falorsi, N De Cao*, T Kipf, JM Tomczak Conference on Uncertainty in Artificial Intelligence (UAI), 2018	432	2018
Learned cardinalities: Estimating correlated joins with deep learning A Kipf, T Kipf, B Radke, V Leis, P Boncz, A Kemper Conference on Innovative Data Systems Research (CIDR), 2018	410	2018
Contrastive learning of structured world models T Kipf, E Van der Pol, M Welling International Conference on Learning Representations (ICLR), 2019	281	2019
Simple open-vocabulary object detection with vision transformers M Minderer, A Gritsenko, A Stone, M Neumann, D Weissenborn, ... European Conference on Computer Vision (ECCV), 2022	264*	2022
Towards Sparse Hierarchical Graph Classifiers C Cangea, P Veličković, N Jovanović, T Kipf, P Liò NeurIPS Workshop on Relational Representation Learning (NeurIPS R2L), 2018	261	2018
Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... International Conference on Machine Learning (ICML), 2023	254	2023
Conditional object-centric learning from video T Kipf, GF Elsayed, A Mahendran, A Stone, S Sabour, G Heigold, ... International Conference on Learning Representations (ICLR), 2021	151	2021
Kubric: A scalable dataset generator K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ... Conference on Computer Vision and Pattern Recognition (CVPR), 3749-3761, 2022	128	2022
CompILE: Compositional imitation learning and execution T Kipf, Y Li, H Dai, V Zambaldi, A Sanchez-Gonzalez, E Grefenstette, ... International Conference on Machine Learning (ICML), 2019	115	2019
SAVi++: Towards end-to-end object-centric learning from real-world videos GF Elsayed, A Mahendran, S van Steenkiste*, K Greff, MC Mozer, ... Advances in Neural Information Processing Systems (NeurIPS), 2022	86	2022
Plannable approximations to mdp homomorphisms: Equivariance under actions E van der Pol, T Kipf, FA Oliehoek, M Welling International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2020	83	2020
Object Scene Representation Transformer MSM Sajjadi, D Duckworth, A Mahendran, S van Steenkiste, F Pavetić, ... Advances in Neural Information Processing Systems (NeurIPS), 2022	73	2022
SlotFormer: Unsupervised Visual Dynamics Simulation with Object-Centric Models Z Wu, N Dvornik, K Greff, T Kipf, A Garg International Conference on Learning Representations (ICLR), 2023	48	2023

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