David Bau: Interpretable Deep Networks
I am a postdoctoral researcher in Computer Science at Stanford University, mentored by Percy Liang and Greg Valiant . My research is focused on understanding and improving modern machine learning methods, with a focus on reliability. My work is supported by Open Philanthropy . I got my PhD in Computer Science from MIT where I was advised by Aleksander Mądry . Before that, I did my undergrad in ECE at NTUA, Greece, where my thesis was advised by Dimitris Fotakis .
I am a research scientist at OpenAI. Before that, I was a postdoc at Stanford CS, mentored by Percy Liang and Greg Valiant , working on LLMs and in-context learning. I did my PhD in CS at MIT with Aleksander Mądry , working on optimization and ML robustness. I got my undergrad degree in ECE from NTUA, Greece, where I did my diploma thesis with Dimitris Fotakis .
David Bau: Interpretable Deep Networks