I'm a second-year student at the University of Texas at Austin with an interest in engineering, math, and machine learning.
Nothing here yet.
Sep 11, 2025 · 1 min read · I’m Sanika Nandpure, a third-year Computer Science student at UT Austin. I’m interested in ML for Systems, particularly how LLMs can be used to automate systems-related tasks. When I first started this website, I was working on research building Comp...
Join discussionAug 17, 2024 · 7 min read · citation H. Wang, Y. Lin, A. Slosar, S. Sreejith, N. Ramachandra, and S. Yoo, “Deconvolution of Astronomical Images with Deep Neural Networks”. 1️⃣ first pass (abstract + information) optical astronomical images are affected by the point spread func...
Join discussion
Aug 17, 2024 · 10 min read · citation Y. Guo et al., “Adaptive optics based on machine learning: a review,” OEA, vol. 5, no. 7, pp. 200082–200082, 2022, doi: 10.29026/oea.2022.200082. first pass: abstract and introduction adaptive optics are used in almost all ground-based high...
Join discussion
May 19, 2024 · 1 min read · Decision trees/tree ensembles work well on tabular (structured) data, such as the type that you could store in a spreadsheet Neural nets are better than decision trees for learning and making predictions for unstructured data (images, audio, speech,...
Join discussion
May 19, 2024 · 1 min read · Boosting is a way of making decision tree ensembles both more efficient as well as more accurate. It derives from a practice that you may be already familiar with known as deliberate practice. When preparing for a test, it is often a smart practice t...
Join discussion