Generative rhythm as a self-avoiding random walk

A rhythm is just a binary vector of a certain size with some of the bits turned on. The layering of rhythms is the generation of new binary vectors (each representing a new percussive instrument) that “go well” with the

Generative rhythm as a self-avoiding random walk

A rhythm is just a binary vector of a certain size with some of the bits turned on. The layering of rhythms is the generation of new binary vectors (each representing a new percussive instrument) that “go well” with the

Early detection of Twitter trends explained

A couple of weeks ago on Halloween night, I was out with some friends when my advisor sent me a message to check web.mit.edu, right now. It took me a few seconds of staring to realize that an article about

Early detection of Twitter trends explained

A couple of weeks ago on Halloween night, I was out with some friends when my advisor sent me a message to check web.mit.edu, right now. It took me a few seconds of staring to realize that an article about

Information Diffusion on Twitter

This spring, I volunteered to teach a lecture in a new Berkeley course called “Analyzing Big Data With Twitter,” developed jointly by Twitter and Berkeley’s School of Information. I had recently done my masters thesis work on predicting the spread

Information Diffusion on Twitter

This spring, I volunteered to teach a lecture in a new Berkeley course called “Analyzing Big Data With Twitter,” developed jointly by Twitter and Berkeley’s School of Information. I had recently done my masters thesis work on predicting the spread

Semi-Supervised Shape Classification with Manifold Regularization

For my Statistical Learning Theory class I did a project on shape classification using manifold regularization. You can read the abstract below. You can also find the paper here and the code here. We approach the problem of semi-supervised shape classification

Semi-Supervised Shape Classification with Manifold Regularization

For my Statistical Learning Theory class I did a project on shape classification using manifold regularization. You can read the abstract below. You can also find the paper here and the code here. We approach the problem of semi-supervised shape classification

Underactuated Control of Vehicular Traffic

When self-driving robotic cars begin to share the road with regular cars, could we control the robotic cars to smooth out traffic jams? I did a numerical and theoretical study of vehicle traffic dynamics and control policies that smooth traffic even

Underactuated Control of Vehicular Traffic

When self-driving robotic cars begin to share the road with regular cars, could we control the robotic cars to smooth out traffic jams? I did a numerical and theoretical study of vehicle traffic dynamics and control policies that smooth traffic even

Stan Explains Things: RANdom SAmple Consensus

I’ve decided to start writing briefly and informally about technical things, so that I could understand them better, and so that someone else might get some insight.  I’ll be writing these under the appropriately vague title of “Stan Explains Things”.

Stan Explains Things: RANdom SAmple Consensus

I’ve decided to start writing briefly and informally about technical things, so that I could understand them better, and so that someone else might get some insight.  I’ll be writing these under the appropriately vague title of “Stan Explains Things”.

The Statistical Structure of Rhythm

I took a quick break with some random hacking last night. I wanted to see what kind of statistical structure there is in rhythm, since I am always tapping on various vaguely percussive objects. You can see the code on

The Statistical Structure of Rhythm

I took a quick break with some random hacking last night. I wanted to see what kind of statistical structure there is in rhythm, since I am always tapping on various vaguely percussive objects. You can see the code on