I defended my PhD thesis!
Youtube recording of my PhD thesis defense at NYU Center for Neural Science.
notes
2023
Statistical whitening with 1D projections
Geometric intuition for our recent paper on statistical whitening using overcomplete bases.
I gave a talk on stochastic shape metrics
My (virtual) talk on our ICLR 2023 paper at Mila Quebec Neural AI RG.
Python QR code generator for poster presentations
Code snippet for generating QR codes with transparent backgrounds.
Stochastic shape metrics without the agonizing pain
A no-math intuitive account of our method published in ICLR 2023.
2022
My Google PhD internship experience
My internship research project at Google on machine learning for video compression.
Reproducible latents
Can we rely on VAEs to generate reproducible latents?
My first C++ open source contribution – Stan Library
Writing L1 and L2 vector norms with reverse- and forward-mode autodiff.
C++ neural networks from scratch – Pt 3. model training
Training a multilayer perceptron built in pure C++.
2021
C++ neural networks from scratch – Pt 2. building an MLP
Building a trainable multilayer perceptron in pure C++.
C++ neural networks from scratch – Pt 1. building a matrix library
Creating a bare-bones linear algebra library to train a neural net.
Nonlinear neural data dimensionality reduction with PI-VAE
Poisson-Identifiable Variational Autoencoder w/ PyTorch implementation.
How I prepared for (and passed!) the Google coding interviews
Update: I wrote about how my internship experience went here.
Adaptive recurrent spiking autoencoder
Python implementation of adaptive spiking neural net proposed in Gutierrez and Deneve eLife 2019.
Saving PyTorch activations w/ forward hooks
Simple code to save activations of a model’s intermediate layers.
PyTorch Randomized adaptive range finder
A cool algorithm that adaptively approximates the column space of a matrix using random projections.
Normalizing Flows and RealNVP
Simple implenetation of the RealNVP invertible neural network.
Batch and instance whitening
This short post will cover graphical intuition and PyTorch code for two different kinds of whitening: batch and instance.
Orthogonal iteration
A tutorial for a classic numerical linear algebra algorithm to find eigenvectors and values.
Elliptical slice sampling
A Python implementation of the elegant algorithm introduced by Iain Murray et al. (2010).
Interpolating covariances with their geometric mean
What’s the best way to quantify and visualize distance between two positive definite matrices? Julia code included.
Stochastic gradient Markov chain Monte Carlo
PyTorch implementation and explanation of SGD MCMC sampling w/ Langevin or Hamiltonian dynamics.