Poster Abstract Automotive surround view systems are critical for driver assistance during low-speed maneuvering, yet conventional rendering pipelines suffer from significant visual artifacts i...
In the world of machine learning and natural language processing, one of the fundamental challenges is converting human language into a format that computers can understand and process. This is whe...
Based on the article “A Barebones Guide to Mechanistic Interpretability Prerequisites” written by Neel Nanda 1. Basics of distributions: expected value, standard deviation, normal distributions ...
Based on the article “A Barebones Guide to Mechanistic Interpretability Prerequisites” written by Neel Nanda 1. Gradients 2. The Chain rule 3. The intuition for what backprop is - in particular,...
Based on the article “A Barebones Guide to Mechanistic Interpretability Prerequisites” written by Neel Nanda Core goals - to deeply & intuitively understand these concepts: 1. Basis ...
In this project, I will be developing an algorithm that support histopathologists in the detection of mitosis on the H&E stained images. To give you a taste of my work, I’ve prepared a captiva...
Smart Diagnostics and Fault Rectification for Rail Maintenance Rail systems are complex and comprise thousands of different interrelated elements of very different types. In case of any faults, it...
In this blog post, I will be exploring the Transformer architecture. To demonstrate its application, I’ll be building a sequence classifier and text generation using Transformers. Introduction ...
In this blog post, I will be exploring a way on how the deep learning approaches can be used to solve the one-shot learning problem. I will be replicating Koch et al.’s work to understand how a Sia...
In this blog post, I am trying to learn how stochastic signal analysis techniques can be used in combination with machine learning classifiers for accurate classification and modelling of time seri...