Agastya Agrawal
Welcome to my universe
Hi! I am Agastya Agrawal, a second-year undergraduate at the Chennai Mathematical Institute, pursuing my bachelor's in mathematics and computer science. I am passionate about interpreting artificial intelligence to help drive progress toward safe superintelligence. I particularly enjoy analyzing neural networks through a rigorous mathematical lens, and I am interested in applying mathematics, probability, and statistics to understand complex real-world structures. Please head to my blog or research section to learn more!
I am always open to collaborations or discussions about these topics, so please don't hesitate to reach out!
More about me →
Research
I am currently studying statistical learning theory, and Singular Learning Theory in particular, for my reinforcement learning course project: "Phase Transitions in RL, a singular learning perspective". I am currently in the exploratory phase and actively refining the exact problem I want to tackle for meaningful research. Check out my blog to see some of the cool mathematics connected to it!
I am also collaborating with Yufeng Zhao to understand deceptive models with unfaithful Chain of Thought. This builds directly upon my recent independent research, Uncovering Unfaithful CoT in Deceptive Models, which was featured on the front page of LessWrong.
Currently, I am also going through ARENA and hosting a deep learning reading group to better refine my skills as an AI researcher and engineer.
More on my Research →Blog
This is the most interesting part of my universe! I document my notes here and share the cool mathematics and subjects that get me excited. Do check it out!
Read my blog →Talks
I enjoy talking about mathematics and its applications, AI interpretability, and machine learning in general. Currently, I am hosting a Deep Learning Reading Group with TWIML.
View all my talks →