ID
Ivo Danihelka
cs.LGcs.AIcs.NEstat.MLcs.CVcs.CLcs.GTcs.MAMachine LearningNeural Networks, Computer
On Valency
published · living versionsW_byxee644·v1 · currentpublished
Video Pixel Networks
with Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan, Oriol Vinyals +2
1 version
W_hacnwnyg·v1published
Preprints & journals
21 papers in the corpus · 2009–2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context2403.05530v5 · Gemini Team Google: Petko Georgiev, Ving Ian Lei, Ryan Burnell et al.2024 · 302 citationsarXiv
Gemini: A Family of Highly Capable Multimodal Models2312.11805v5 · Gemini Team Google: Rohan Anil, Sebastian Borgeaud, Jean-Baptiste Alayrac et al.2023 · 988 citationsarXiv
Muesli: Combining Improvements in Policy Optimization2104.06159v2 · Matteo Hessel, Ivo Danihelka, Fabio Viola et al.2021 · 18 citationsarXiv
Causally Correct Partial Models for Reinforcement Learning2002.02836v1 · Danilo J. Rezende, Ivo Danihelka, George Papamakarios et al.2020 · 16 citationsarXiv
Grandmaster level in StarCraft II using multi-agent reinforcement learning.31666705 · Vinyals, Oriol, Babuschkin, Igor, Czarnecki, Wojciech M et al.2020 · 3,448 citationsNature. 2019;575(7782):350-354
OpenSpiel: A Framework for Reinforcement Learning in Games1908.09453v6 · Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau et al.2019 · 103 citationsarXiv
Neural scene representation and rendering.29903970 · Eslami, S M Ali, Jimenez Rezende, Danilo, Besse, Frederic et al.2018 · 497 citationsScience (New York, N.Y.). 2018;360(6394):1204-1210
The Cramer Distance as a Solution to Biased Wasserstein Gradients1705.10743v1 · Marc G. Bellemare, Ivo Danihelka, Will Dabney et al.2017 · 223 citationsarXiv
Comparison of Maximum Likelihood and GAN-based training of Real NVPs1705.05263v1 · Ivo Danihelka, Balaji Lakshminarayanan, Benigno Uria et al.2017 · 39 citationsarXiv
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes1610.09027v1 · Jack W Rae, Jonathan J Hunt, Tim Harley et al.2016 · 77 citationsarXiv
Hybrid computing using a neural network with dynamic external memory.27732574 · Graves, Alex, Wayne, Greg, Reynolds, Malcolm et al.2017 · 1,410 citationsNature. 2016;538(7626):471-476
Video Pixel Networks1610.00527v1 · Nal Kalchbrenner, Aaron van den Oord, Karen Simonyan et al.2016 · 171 citationsarXivon Valency
Memory-Efficient Backpropagation Through Time1606.03401v1 · Audrūnas Gruslys, Remi Munos, Ivo Danihelka et al.2016 · 124 citationsarXiv
Towards Conceptual Compression1604.08772v1 · Karol Gregor, Frederic Besse, Danilo Jimenez Rezende et al.2016 · 120 citationsarXiv
One-Shot Generalization in Deep Generative Models1603.05106v2 · Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka et al.2016 · 114 citationsarXiv
Associative Long Short-Term Memory1602.03032v2 · Ivo Danihelka, Greg Wayne, Benigno Uria et al.2016 · 153 citationsarXiv
Grid Long Short-Term Memory1507.01526v3 · Nal Kalchbrenner, Ivo Danihelka, Alex Graves2015 · 275 citationsarXiv
DRAW: A Recurrent Neural Network For Image Generation1502.04623v2 · Karol Gregor, Ivo Danihelka, Alex Graves et al.2015 · 1,482 citationsarXivon Valency
Neural Turing Machines1410.5401v2 · Alex Graves, Greg Wayne, Ivo Danihelka2014 · 1,057 citationsarXiv
Deep AutoRegressive Networks1310.8499v2 · Karol Gregor, Ivo Danihelka, Andriy Mnih et al.2013 · 151 citationsKarol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra. Deep AutoRegressive Networks. In Proceedings of the 31st International Conference on Machine Learning (ICML), JMLR: W&CP volume 32, 2014
Optimistic Simulated Exploration as an Incentive for Real Exploration0903.2972v3 · Ivo Danihelka2009 · 0 citationsPOSTER 2009
Career total: 23 works. 21 are in this corpus.
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