3 papers
math.ST2025
Neumann eigenmaps for landmark embedding
Shashank Sule, Wojciech Czaja
We present Neumann eigenmaps (NeuMaps), a novel approach for enhancing the standard diffusion map embedding using landmarks, i.e distinguished samples within the dataset. By interp…
q-bio.QM2025
Input layer regularization and automated regularization hyperparameter tuning for myelin water estimation using deep learning
Mirage Modi, Shashank Sule, Jonathan Palumbo +4
We propose a novel deep learning method which combines classical regularization with data augmentation for estimating myelin water fraction (MWF) in the brain via biexponential ana…
cs.LG2024
Frame Quantization of Neural Networks
Wojciech Czaja, Sanghoon Na
We present a post-training quantization algorithm with error estimates relying on ideas originating from frame theory. Specifically, we use first-order Sigma-Delta () quantizat…