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Klaus Greff
Klaus Greff
Research Scientist at Google Brain
Verified email at usi.ch - Homepage
Title
Cited by
Cited by
Year
LSTM: A search space odyssey
K Greff, RK Srivastava, J Koutník, BR Steunebrink, J Schmidhuber
IEEE transactions on neural networks and learning systems 28 (10), 2222-2232, 2016
63552016
Training very deep networks
RK Srivastava, K Greff, J Schmidhuber
Advances in neural information processing systems 28, 2015
32482015
Highway networks
RK Srivastava, K Greff, J Schmidhuber
arXiv preprint arXiv:1505.00387, 2015
24842015
A Clockwork RNN
J Koutnik, K Greff, F Gomez, J Schmidhuber
International Conference on Machine Learning, 1863-1871, 2014
6312014
Multi-Object Representation Learning with Iterative Variational Inference
K Greff, RL Kaufman, R Kabra, N Watters, C Burgess, D Zoran, L Matthey, ...
arXiv preprint arXiv:1903.00450, 2019
4192019
Palm-e: An embodied multimodal language model
D Driess, F Xia, MSM Sajjadi, C Lynch, A Chowdhery, B Ichter, A Wahid, ...
arXiv preprint arXiv:2303.03378, 2023
3772023
Relational neural expectation maximization: Unsupervised discovery of objects and their interactions
S Van Steenkiste, M Chang, K Greff, J Schmidhuber
arXiv preprint arXiv:1802.10353, 2018
2882018
Neural Expectation Maximization
K Greff, S van Steenkiste, J Schmidhuber
Advances in Neural Information Processing Systems 30, 6694--6704, 2017
2712017
Highway and residual networks learn unrolled iterative estimation
K Greff, RK Srivastava, J Schmidhuber
arXiv preprint arXiv:1612.07771, 2016
2432016
On the binding problem in artificial neural networks
K Greff, S Van Steenkiste, J Schmidhuber
arXiv preprint arXiv:2012.05208, 2020
1972020
Scalable Gradient-Based Tuning of Continuous Regularization Hyperparameters
J Luketina, M Berglund, K Greff, T Raiko
arXiv preprint, 2015
1782015
Tagger: Deep unsupervised perceptual grouping
K Greff, A Rasmus, M Berglund, T Hao, H Valpola, J Schmidhuber
Advances in Neural Information Processing Systems 29, 2016
1582016
Conditional object-centric learning from video
T Kipf, GF Elsayed, A Mahendran, A Stone, S Sabour, G Heigold, ...
arXiv preprint arXiv:2111.12594, 2021
1192021
The sacred infrastructure for computational research
K Greff, A Klein, M Chovanec, F Hutter, J Schmidhuber
Proceedings of the 16th python in science conference 28, 49-56, 2017
932017
Scene representation transformer: Geometry-free novel view synthesis through set-latent scene representations
MSM Sajjadi, H Meyer, E Pot, U Bergmann, K Greff, N Radwan, S Vora, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
782022
Highway networks. arXiv 2015
RK Srivastava, K Greff, J Schmidhuber
arXiv preprint arXiv:1505.00387, 2015
772015
Kubric: A scalable dataset generator
K Greff, F Belletti, L Beyer, C Doersch, Y Du, D Duckworth, DJ Fleet, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
692022
Savi++: Towards end-to-end object-centric learning from real-world videos
G Elsayed, A Mahendran, S van Steenkiste, K Greff, MC Mozer, T Kipf
Advances in Neural Information Processing Systems 35, 28940-28954, 2022
602022
Multi-object datasets
R Kabra, C Burgess, L Matthey, RL Kaufman, K Greff, M Reynolds, ...
DeepMind 5 (6), 7, 2019
582019
Nesf: Neural semantic fields for generalizable semantic segmentation of 3d scenes
S Vora, N Radwan, K Greff, H Meyer, K Genova, MSM Sajjadi, E Pot, ...
arXiv preprint arXiv:2111.13260, 2021
522021
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