Thomas Kipf
Thomas Kipf
Other namesThomas N. Kipf
Senior Research Scientist, Google DeepMind
Verified email at - Homepage
Cited by
Cited by
Semi-supervised classification with graph convolutional networks
TN Kipf, M Welling
International Conference on Learning Representations (ICLR), 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
Variational Graph Auto-Encoders
TN Kipf, M Welling
NeurIPS Workshop on Bayesian Deep Learning (NeurIPS BDL), 2016
Graph convolutional matrix completion
R Berg, TN Kipf, M Welling
KDD Deep Learning Day (KDD DLD), 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
Neural Relational Inference for Interacting Systems
T Kipf*, E Fetaya*, KC Wang, M Welling, R Zemel
International Conference on Machine Learning (ICML), 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
Hyperspherical Variational Auto-Encoders
TR Davidson*, L Falorsi*, N De Cao*, T Kipf, JM Tomczak
Conference on Uncertainty in Artificial Intelligence (UAI), 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
Contrastive learning of structured world models
T Kipf, E Van der Pol, M Welling
International Conference on Learning Representations (ICLR), 2019
Towards Sparse Hierarchical Graph Classifiers
C Cangea*, P Veličković*, N Jovanović, T Kipf, P Liò
NeurIPS Workshop on Relational Representation Learning (NeurIPS R2L), 2018
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
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
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
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
Estimating cardinalities with deep sketches
A Kipf, D Vorona, J Müller, T Kipf, B Radke, V Leis, P Boncz, T Neumann, ...
Proceedings of the 2019 International Conference on Management of Data, 1937 …, 2019
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
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
Superradiance and collective gain in multimode optomechanics
T Kipf, GS Agarwal
Physical Review A 90 (5), 053808, 2014
Jraph: A library for graph neural networks in JAX
J Godwin, T Keck, P Battaglia, V Bapst, T Kipf, Y Li, K Stachenfeld, ..., 2020
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