There has been a lot of talk about Google's acquisition of DeepMind. I won't try to review the facts for those who don't know about it-- there's got to be about 100 roughly identical news articles you can find. What those news articles only rarely include is a link to DeepMind's research publications; and as far as I've seen, only to the paper on playing Atari games using model-free RL. (Maybe it's the most public-friendly.) Before the news broke, I didn't even know that DeepMind was putting out any information on what they were doing; their very blank company website made me think they were being hush-hush.
So. For the curious, here are all the papers I could find which include at least one author @deepmind.com:
Deep Autoregressive Networks
Playing Atari with Deep Reinforcement Learning
Neural Variational Inference and Learning in Belief Networks
Unit Tests for Stochastic Optimization
An Approximation of the Universal Intelligence Measure
Stochastic Back-Propagation and Variational Inference in Deep Latent Gaussian Models
Unsupervised Feature Learning by Deep Sparse Coding
Deterministic Policy Gradient Algorithms
Bayesian Hierarchical Community Discovery
Learning Word Embeddings Efficiently with Noise-Contrastic Estimation
