Követés
Thomas Kipf
Thomas Kipf
További nevekThomas N. Kipf
Staff Research Scientist, Google DeepMind
E-mail megerősítve itt: google.com - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
Semi-supervised classification with graph convolutional networks
TN Kipf, M Welling
International Conference on Learning Representations (ICLR), 2016
424372016
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
61782017
Variational Graph Auto-Encoders
TN Kipf, M Welling
NeurIPS Workshop on Bayesian Deep Learning (NeurIPS BDL), 2016
34812016
Graph convolutional matrix completion
R Berg, TN Kipf, M Welling
KDD Deep Learning Day (KDD DLD), 2017
1783*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
12252018
Neural Relational Inference for Interacting Systems
T Kipf*, E Fetaya*, KC Wang, M Welling, R Zemel
International Conference on Machine Learning (ICML), 2018
10842018
Object-Centric Learning with Slot Attention
F Locatello*, D Weissenborn, T Unterthiner, A Mahendran, G Heigold, ...
Advances in Neural Information Processing Systems (NeurIPS), 2020
8832020
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
5462023
Hyperspherical Variational Auto-Encoders
TR Davidson*, L Falorsi*, N De Cao*, T Kipf, JM Tomczak
Conference on Uncertainty in Artificial Intelligence (UAI), 2018
5122018
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
5042018
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
494*2022
Contrastive learning of structured world models
T Kipf, E Van der Pol, M Welling
International Conference on Learning Representations (ICLR), 2019
3332019
Towards Sparse Hierarchical Graph Classifiers
C Cangea*, P Veličković*, N Jovanović, T Kipf, P Liò
NeurIPS Workshop on Relational Representation Learning (NeurIPS R2L), 2018
3192018
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
2192021
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
2172022
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
1492019
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
1472022
Object Scene Representation Transformer
MSM Sajjadi, D Duckworth, A Mahendran, S van Steenkiste, F Pavetić, ...
Advances in Neural Information Processing Systems (NeurIPS), 2022
1082022
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
962020
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
922023
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