When Massive Parallelism Is Not Enough: Optimizing the Hamming Matrix
Computing the Hamming Matrix suits GPU parallelism, but its low arithmetic intensity demands careful memory optimization to beat CPUs.
2025
2024
Visualizing Stem Cell Reprogramming
We train an Autoencoder on Cell Reprogramming Sequencing Data and visualize the Latent Space using an interactive UMAP.
Fixing Lightroom’s Automatic Photo Adjustment using Machine Learning
Adapting a Vision Transformer to find image rendering settings suitable for HDR image editing from small training datasets.
Exploring Skip Connections in MLPs
Investigating the Behaviour of an MLP under a novel Skip Configuration.