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stat.ML2026
Towards a mathematical theory of superposition
Michael I. Ivanitskiy, John Jasper, Emily J. King +1
We develop a mathematical theory of superposition in neural networks using tools from frame theory and compressed sensing. In our model, a sparse binary vector \(x\) of active feat…
stat.ML2025
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
Antony Sikorski, Michael Ivanitskiy, Nathan Lenssen +2
In many applications, we wish to fit a parametric statistical model to a small ensemble of spatially distributed random variables ('fields'). However, parameter inference using max…