46 citations · 49 across the 9 of their papers we have counts for
3 papers · 1 filter
What is an equivariant neural network?
Lek-Heng Lim, Bradley J. Nelson
We explain equivariant neural networks, a notion underlying breakthroughs in machine learning from deep convolutional neural networks for computer vision to AlphaFold 2 for protein…
Topology-Preserving Dimensionality Reduction via Interleaving Optimization
Bradley J. Nelson, Yuan Luo
Dimensionality reduction techniques are powerful tools for data preprocessing and visualization which typically come with few guarantees concerning the topological correctness of a…
A Topology Layer for Machine Learning
Rickard Brüel-Gabrielsson, Bradley J. Nelson, Anjan Dwaraknath +3
Topology applied to real world data using persistent homology has started to find applications within machine learning, including deep learning. We present a differentiable topolog…