Daan Wierstra
17 papers · 2010–2019 · 3 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3)
🗺️
Taxonomy Completionist
(11)
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
📈
Trend Setter
💎
Century Club
(17)
🔥
Unstoppable
(6)
🗃️
Keyword Collector
(84)
Conferences
ICML (9)
NIPS (6)
JMLR (2)
Top co-authors
Keywords
variational inference
(4)
deep generative model
(3)
reinforcement learning
(3)
representation learning
(3)
deep reinforcement learning
(2)
recurrent neural network
(2)
few-shot learning
(2)
one-shot learning
(2)
generative model
(2)
metric learning
(1)
policy gradient
(1)
sample efficiency
(1)
gradient-based optimization
(1)
embedding learning
(1)
black-box optimization
(1)
natural gradient
(1)
approximate inference
(1)
relational reasoning
(1)
deep learning
(1)
language modeling
(1)
Papers
Towards Interpretable Reinforcement Learning Using Attention Augmented Agents
NIPS 2019
Learning to search with MCTSnets
ICML 2018
Relational recurrent neural networks
NIPS 2018
Neural Episodic Control
ICML 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
NIPS 2017
One-Shot Generalization in Deep Generative Models
ICML 2016
Meta-Learning with Memory-Augmented Neural Networks
ICML 2016
Towards Conceptual Compression
NIPS 2016
Matching Networks for One Shot Learning
NIPS 2016
DRAW: A Recurrent Neural Network For Image Generation
ICML 2015
Weight Uncertainty in Neural Network
ICML 2015
Natural Evolution Strategies
JMLR 2014
Deterministic Policy Gradient Algorithms
ICML 2014
Deep AutoRegressive Networks
ICML 2014
Stochastic Backpropagation and Approximate Inference in Deep Generative Models
ICML 2014
Variational Learning for Recurrent Spiking Networks
NIPS 2011
PyBrain
JMLR 2010