In anticipation of 3D printers reaching millions of users, I am investigating how to allow future users to interact with the new hardware. I present a series of interactive software+hardware systems that I created to answer this question. They are characterized by two main properties.
Much recent success in machine learning has been through optimizing simple feedforward procedures, such as neural networks, using gradients. Surprisingly, many complex procedures such as message passing, filtering, inference, and even optimization itself can be meaningfully differentiated t
Computer scientists have long known that randomness can be used to improve the performance of algorithms.
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One reason that analyzing text is hard is that it involves dealing with deeply entangled linguistic variables: objects like syntactic structures, semantic types, and discourse relations depend on one another in complex ways. Our work tackles several facets of text analysis using joint model
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