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A Probabilistic U-Net for Segmentation of Ambiguous Images ⬇️

Building machines that learn and think for themselves

artículo científico publicado en 2017

DRAW: A Recurrent Neural Network For Image Generation ⬇️

scholarly article published 20 May 2015

Equivariant Flow-Based Sampling for Lattice Gauge Theory

artículo científico publicado en 2020

Imagination-Augmented Agents for Deep Reinforcement Learning ⬇️

artículo científico publicado en 2017

Interaction Networks for Learning about Objects, Relations and Physics ⬇️

artículo científico publicado en 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

Semi-supervised learning with deep generative models ⬇️

artículo científico publicado en 2014

Shaping Belief States with Generative Environment Models for RL ⬇️

Stochastic variational learning in recurrent spiking networks

scientific article published on 04 April 2014

Targeted free energy estimation via learned mappings

artículo científico publicado en 2020

Towards Conceptual Compression ⬇️

artículo científico publicado en 2016

Unsupervised Learning of 3D Structure from Images ⬇️

artículo científico publicado en 2016

Variational Information Bottleneck for Semi-Supervised Classification

artículo científico publicado en 2020

Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning ⬇️

scholarly article by Shakir Mohamed & Danilo Jimenez Rezende published 2015 in Advances in Neural Information Processing Systems 28

Variational Learning for Recurrent Spiking Networks ⬇️

artículo científico publicado en 2011

Variational Memory Addressing in Generative Models ⬇️

artículo científico publicado en 2017

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