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Ivo Danihelka
Ivo Danihelka
DeepMind
Verified email at google.com
Title
Cited by
Cited by
Year
Neural turing machines
A Graves, G Wayne, I Danihelka
arXiv preprint arXiv:1410.5401, 2014
22872014
Grandmaster level in StarCraft II using multi-agent reinforcement learning
O Vinyals, I Babuschkin, WM Czarnecki, M Mathieu, A Dudzik, J Chung, ...
Nature 575 (7782), 350-354, 2019
20222019
Draw: A recurrent neural network for image generation
K Gregor, I Danihelka, A Graves, D Rezende, D Wierstra
International conference on machine learning, 1462-1471, 2015
19852015
Hybrid computing using a neural network with dynamic external memory
A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ...
Nature 538 (7626), 471-476, 2016
14512016
Neural scene representation and rendering
SMA Eslami, D Jimenez Rezende, F Besse, F Viola, AS Morcos, ...
Science 360 (6394), 1204-1210, 2018
4772018
Video pixel networks
N Kalchbrenner, A Oord, K Simonyan, I Danihelka, O Vinyals, A Graves, ...
International Conference on Machine Learning, 1771-1779, 2017
3832017
Grid long short-term memory
N Kalchbrenner, I Danihelka, A Graves
arXiv preprint arXiv:1507.01526, 2015
3642015
The cramer distance as a solution to biased wasserstein gradients
MG Bellemare, I Danihelka, W Dabney, S Mohamed, ...
arXiv preprint arXiv:1705.10743, 2017
2972017
One-shot generalization in deep generative models
D Rezende, I Danihelka, K Gregor, D Wierstra
International conference on machine learning, 1521-1529, 2016
2542016
Deep autoregressive networks
K Gregor, I Danihelka, A Mnih, C Blundell, D Wierstra
International Conference on Machine Learning, 1242-1250, 2014
2532014
Towards conceptual compression
K Gregor, F Besse, D Jimenez Rezende, I Danihelka, D Wierstra
Advances In Neural Information Processing Systems 29, 2016
2262016
Memory-efficient backpropagation through time
A Gruslys, R Munos, I Danihelka, M Lanctot, A Graves
Advances in Neural Information Processing Systems 29, 2016
156*2016
Associative long short-term memory
I Danihelka, G Wayne, B Uria, N Kalchbrenner, A Graves
International conference on machine learning, 1986-1994, 2016
1502016
Scaling memory-augmented neural networks with sparse reads and writes
J Rae, JJ Hunt, I Danihelka, T Harley, AW Senior, G Wayne, A Graves, ...
Advances in Neural Information Processing Systems 29, 2016
1482016
OpenSpiel: A framework for reinforcement learning in games
M Lanctot, E Lockhart, JB Lespiau, V Zambaldi, S Upadhyay, J Pérolat, ...
arXiv preprint arXiv:1908.09453, 2019
1132019
Comparison of maximum likelihood and gan-based training of real nvps
I Danihelka, B Lakshminarayanan, B Uria, D Wierstra, P Dayan
arXiv preprint arXiv:1705.05263, 2017
632017
Muesli: Combining improvements in policy optimization
M Hessel, I Danihelka, F Viola, A Guez, S Schmitt, L Sifre, T Weber, ...
International Conference on Machine Learning, 4214-4226, 2021
272021
Causally correct partial models for reinforcement learning
DJ Rezende, I Danihelka, G Papamakarios, NR Ke, R Jiang, T Weber, ...
arXiv preprint arXiv:2002.02836, 2020
152020
Policy improvement by planning with Gumbel
I Danihelka, A Guez, J Schrittwieser, D Silver
International Conference on Learning Representations, 2021
22021
Optimistic Simulated Exploration as an Incentive for Real Exploration
I Danihelka
arXiv preprint arXiv:0903.2972, 2009
2009
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Articles 1–20