Aravinth Krishnan Ravi

I'm a mathematics PhD student at Kansas State University, where I am fortunate to be advised by Dinh-Liem Nguyen. I am broadly interested in applying machine learning techniques to solve inverse problems. In 2022, I graduated from Nanyang Technological University, Singapore, where I majored in pure mathematics.

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Aravinth Krishnan Ravi

Research

I work on developing neural network based methods to solve inverse scattering problems. I am also interested in the learning the mathematics of deep learning.

Mathematics of Deep Learning Blog

Through my study in applying deep learning techniques to solve inverse problems, I got intrigued in understanding how they work. Here, I will add notes on topics that I find interesting. Many of the documents will be made on the fly and will not be proofread, so there may be mistakes. Please send me an email if you have any comments.

Notes

  • Introductory Approximation Theory: For my minor exam, I chose an unorthodox topic: Approximation Theory. These slides detail some results (together with some pictures) from the first few sections of Matus Telgarsky’s excellent deep lecture notes (which is available in his website). Last update: Dec 2024.

Teaching

Spring Mathematical Modelling Seminar
Applied Matrix Theory
Calculus I


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