Danihelka, Ivo

12 publications

ICLR 2022 Learning by Directional Gradient Descent David Silver, Anirudh Goyal, Ivo Danihelka, Matteo Hessel, Hado van Hasselt

ICLR 2022 Policy Improvement by Planning with Gumbel Ivo Danihelka, Arthur Guez, Julian Schrittwieser, David Silver

ICML 2021 Muesli: Combining Improvements in Policy Optimization Matteo Hessel, Ivo Danihelka, Fabio Viola, Arthur Guez, Simon Schmitt, Laurent Sifre, Theophane Weber, David Silver, Hado Van Hasselt

ICML 2017 Video Pixel Networks Nal Kalchbrenner, Aäron Oord, Karen Simonyan, Ivo Danihelka, Oriol Vinyals, Alex Graves, Koray Kavukcuoglu

ICML 2016 Associative Long Short-Term Memory Ivo Danihelka, Greg Wayne, Benigno Uria, Nal Kalchbrenner, Alex Graves

ICLR 2016 Grid Long Short-Term Memory Nal Kalchbrenner, Ivo Danihelka, Alex Graves

NeurIPS 2016 Memory-Efficient Backpropagation Through Time Audrunas Gruslys, Remi Munos, Ivo Danihelka, Marc Lanctot, Alex Graves

ICML 2016 One-Shot Generalization in Deep Generative Models Danilo Rezende, Shakir, Ivo Danihelka, Karol Gregor, Daan Wierstra

NeurIPS 2016 Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes Jack Rae, Jonathan J Hunt, Ivo Danihelka, Timothy Harley, Andrew W. Senior, Gregory Wayne, Alex Graves, Timothy Lillicrap

NeurIPS 2016 Towards Conceptual Compression Karol Gregor, Frederic Besse, Danilo Jimenez Rezende, Ivo Danihelka, Daan Wierstra

ICML 2015 DRAW: A Recurrent Neural Network for Image Generation Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Rezende, Daan Wierstra

ICML 2014 Deep AutoRegressive Networks Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra