Daan Wierstra
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
9
Active years
2004–2018
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2018 | ICML | Learning to Search with MCTSnets. | Arthur Guez, Theophane Weber, Ioannis Antonoglou, Karen Simonyan, Oriol Vinyals, Daan Wierstra, Rmi Munos, David Silver |
| 2017 | ICLR | Recurrent Environment Simulators. | Silvia Chiappa, Sbastien Racanire, Daan Wierstra, Shakir Mohamed |
| 2017 | ICLR | Variational Intrinsic Control. | Karol Gregor, Danilo Jimenez Rezende, Daan Wierstra |
| 2017 | ICML | Neural Episodic Control. | Alexander Pritzel, Benigno Uria, Sriram Srinivasan, Adri Puigdomnech Badia, Oriol Vinyals, Demis Hassabis, Daan Wierstra, Charles Blundell |
| 2016 | GECCO | Convolution by Evolution: Differentiable Pattern Producing Networks. | Chrisantha Fernando, Dylan Banarse, Malcolm Reynolds, Frederic Besse, David Pfau, Max Jaderberg, Marc Lanctot, Daan Wierstra |
| 2016 | ICML | One-Shot Generalization in Deep Generative Models. | Danilo Jimenez Rezende, Shakir Mohamed, Ivo Danihelka, Karol Gregor, Daan Wierstra |
| 2016 | ICML | Meta-Learning with Memory-Augmented Neural Networks. | Adam Santoro, Sergey Bartunov, Matthew M. Botvinick, Daan Wierstra, Timothy P. Lillicrap |
| 2015 | ICML | Weight Uncertainty in Neural Network. | Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra |
| 2015 | ICML | DRAW: A Recurrent Neural Network For Image Generation. | Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Jimenez Rezende, Daan Wierstra |
| 2014 | ICML | Deep AutoRegressive Networks. | Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra |
| 2014 | ICML | Stochastic Backpropagation and Approximate Inference in Deep Generative Models. | Danilo Jimenez Rezende, Shakir Mohamed, Daan Wierstra |
| 2014 | ICML | Deterministic Policy Gradient Algorithms. | David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra, Martin A. Riedmiller |
| 2011 | CEC | Curiosity-driven optimization. | Tom Schaul, Yi Sun, Daan Wierstra, Faustino J. Gomez, Jrgen Schmidhuber |
| 2010 | GECCO | Exponential natural evolution strategies. | Tobias Glasmachers, Tom Schaul, Yi Sun, Daan Wierstra, Jrgen Schmidhuber |
| 2009 | CEC | Robust player imitation using multiobjective evolution. | Niels van Hoorn, Julian Togelius, Daan Wierstra, Jrgen Schmidhuber |
| 2009 | GECCO | Efficient natural evolution strategies. | Yi Sun, Daan Wierstra, Tom Schaul, Jrgen Schmidhuber |
| 2009 | ICANN | Evolving Memory Cell Structures for Sequence Learning. | Justin Bayer, Daan Wierstra, Julian Togelius, Jrgen Schmidhuber |
| 2009 | ICML | Stochastic search using the natural gradient. | Yi Sun, Daan Wierstra, Tom Schaul, Jrgen Schmidhuber |
| 2008 | CEC | Natural Evolution Strategies. | Daan Wierstra, Tom Schaul, Jan Peters, Jrgen Schmidhuber |
| 2008 | ICANN | Episodic Reinforcement Learning by Logistic Reward-Weighted Regression. | Daan Wierstra, Tom Schaul, Jan Peters, Jrgen Schmidhuber |
| 2008 | PPSN | Fitness Expectation Maximization. | Daan Wierstra, Tom Schaul, Jan Peters, Jrgen Schmidhuber |
| 2007 | ICANN | Solving Deep Memory POMDPs with Recurrent Policy Gradients. | Daan Wierstra, Alexander Frster, Jan Peters, Jrgen Schmidhuber |
| 2006 | ESANN | Evolino for recurrent support vector machines. | Jrgen Schmidhuber, Matteo Gagliolo, Daan Wierstra, Faustino J. Gomez |
| 2006 | IROS | A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks. | Hermann Georg Mayer, Faustino J. Gomez, Daan Wierstra, Istvan Nagy, Alois C. Knoll, Jrgen Schmidhuber |
| 2005 | GECCO | Modeling systems with internal state using evolino. | Daan Wierstra, Faustino J. Gomez, Jrgen Schmidhuber |
| 2005 | IJCAI | Evolino: Hybrid Neuroevolution/Optimal Linear Search for Sequence Learning. | Jrgen Schmidhuber, Daan Wierstra, Faustino J. Gomez |
| 2004 | ICML | Utile distinction hidden Markov models. | Daan Wierstra, Marco A. Wiering |