List of works - Daan Wierstra

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

scholarly article published October 2006

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

journal article; published in Advanced Robotics in 2008

Building machines that learn and think for themselves

scientific article published in January 2017

DRAW: A Recurrent Neural Network For Image Generation ⬇️

scholarly article published 20 May 2015

Evolving Memory Cell Structures for Sequence Learning

Human-level control through deep reinforcement learning

scientific article

Imagination-Augmented Agents for Deep Reinforcement Learning ⬇️

scientific article published in January 2017

Matching Networks for One Shot Learning ⬇️

scientific article published in January 2016

Neural scene representation and rendering

scientific article published on 14 June 2018

One-Shot Generalization in Deep Generative Models ⬇️

scholarly article published 25 May 2016

One-shot Learning with Memory-Augmented Neural Networks ⬇️

article published in 2016

PathNet: Evolution Channels Gradient Descent in Super Neural Networks ⬇️

scientific article (publication date: 30 January 2017)

Playing Atari with Deep Reinforcement Learning ⬇️

scientific article

Relational inductive biases, deep learning, and graph networks ⬇️

article

Relational recurrent neural networks ⬇️

scholarly article by Adam Santoro et al published 2018 in Advances in Neural Information Processing Systems 31

Towards Conceptual Compression ⬇️

scientific article published in January 2016

Training recurrent networks by Evolino

scientific article published in March 2007

Variational Learning for Recurrent Spiking Networks ⬇️

scientific article published in January 2011

List of works by Daan Wierstra

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks

Building machines that learn and think for themselves

DRAW: A Recurrent Neural Network For Image Generation ⬇️

Evolving Memory Cell Structures for Sequence Learning

Human-level control through deep reinforcement learning

Imagination-Augmented Agents for Deep Reinforcement Learning ⬇️

Matching Networks for One Shot Learning ⬇️

Neural scene representation and rendering

One-Shot Generalization in Deep Generative Models ⬇️

One-shot Learning with Memory-Augmented Neural Networks ⬇️

PathNet: Evolution Channels Gradient Descent in Super Neural Networks ⬇️

Playing Atari with Deep Reinforcement Learning ⬇️

Relational inductive biases, deep learning, and graph networks ⬇️

Relational recurrent neural networks ⬇️

Towards Conceptual Compression ⬇️

Training recurrent networks by Evolino

Variational Learning for Recurrent Spiking Networks ⬇️