The Murphy Lab
Shaping information with machine learning.
Hello and welcome!
We are a research group focused on designing information processing systems around lossy compression. We study the fundamentals of representation learning and information theory, and build algorithms that distill high-dimensional data into reduced descriptions.
If you’re curious about how to design and understand AI systems, consider joining! Please reach out.
Visualization can be a powerful route to building intuition around how complex systems work. Below is a visualization of a randomly initialized neural network that warps two-dimensional space. The input starts as a square and then what you’re seeing is the square after passing through the network. Try varying the number of layers (64 units each) and the activation function!
Number of layers: