Archives for November 2016

and can be found here. Note that the very next day the same blog posted a lovely pic from our friend Rachel Greenberg.

Check out this terrific trailer for our upcoming NIPS abstract (with Alex Wiltschko, Matt Johnson, Ryan Adams and David Duvenaud) put together by David – it does a really nice job explaining the value of merging a model-based approach with neural nets. The combination allows clear articulation of model structure – and maintenance of semantic meaning – while simultaneously taking advantage of flexibly learned feature embeddings. We think this is going to be an important and general method for capturing structure in high-dimensional data. If you are at NIPS this year, check it out!