Posts
Nov 3, 2023
Over the past decade or so, neural networks have shown amazing success across a wide variety of tasks. In this post, I'll introduce the grandfather of modern neural networks: the perceptron.Oct 21, 2023
Moving beyond n-grams, embeddings let us better represent the meaning of words and quantify their relationships to other words.Jul 14, 2023
We'll start our language modeling journey starting at classical language modeling using n-gram language models.Apr 7, 2023
I'll continue the discussion of Lie Groups into the realm of calculus on Lie Groups; we'll finish applying them to the robotic state estimation.Apr 2, 2022
I'll introduce concept of Lie Groups and how they can be useful for working with constrained surfaces like rotations; we'll also apply them to the problem of accurate robotic state estimation.Sep 24, 2021
In the last part, I'll show how we can define curvature on a manifold by extending calculus to work on manifolds with the covariant derivative!May 30, 2021
In the second part, I'll construct a manifold from scratch and redefine vectors, dual vectors, and tensors on a manifold.Feb 10, 2021
As the first in a multi-part series, I'll introduce manifolds and discuss how vectors, dual vectors, and tensors work in a flat, Euclidean space.Dec 28, 2020
Going beyond EKFs, I'll motivate particle filters as a more advanced state estimator that can compensate for the limitations of EKFs.Oct 5, 2020
I discuss a fundamental building block for state estimation for a robot: the extended kalman filter (EKF).Jan 20, 2019
I discuss state-of-the-art deep RL techniques that use policy-based methods.Dec 23, 2018
I overview some of the fundamental deep reinforcement learning algorithms used as the basis for many of the more advanced techniques used in practice and research.Aug 30, 2018
I describe the fundamental algorithms and techniques used in reinforcement learning.Aug 8, 2018
I chronicle some lessons learned from my 2.5 years as an undergrad student researcher.Jun 24, 2018
I discuss the magic behind attention-based sequence-to-sequence models, the very same models used in tasks such as machine translation.May 8, 2018
After finishing finish my undergrad, I'll share some pointers (pun absolutely intended) that I've learned over the past few years.Nov 25, 2017
I'll explain one of the more difficult unsupervised neural networks in detail using examples and intuition.Nov 22, 2017
I'll discuss the backpropagation algorithm on various levels using concrete examples.Jan 15, 2017
Devices like the HoloLens and Tango have depth-sensing capabilities, allowing for a completely different level of augmented reality.Subscribe