Emergence of the SVD as an interpretable factorization in deep learning for inverse problems. - Shashank Sule; Richard G. Spencer 001; Wojciech Czaja (CoRR, 2023)

Sharp error estimates for target measure diffusion maps with applications to the committor problem. - Shashank Sule; Luke Evans; Maria Cameron (CoRR, 2023)

Neural Network-Based Speech Reconstruction from Undersampled STFT Magnitude Data. - Wojciech Czaja; Canran Ji; Shashank Sule; Matthias Wellershoff (EUSIPCO, 2024)

Neumann eigenmaps for landmark embedding. - Shashank Sule; Wojciech Czaja (CoRR, 2025)

Learning collective variables that preserve transition rates. - Shashank Sule; Arnav Mehta; Maria K. Cameron (CoRR, 2025)

Learning collective variables that respect permutational symmetry. - Jiaxin Yuan; Shashank Sule; Yeuk Yin Lam; Maria Cameron (CoRR, 2025)