2 papers
cs.LG2026
Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra
Stefan Kuhn, Vandana Dwarka, Przemyslaw Karol Grenda +1
We introduce a reversible deep learning model for 13C NMR that uses a single conditional invertible neural network for both directions between molecular structures and spectra. The…
math.NA2024
Matrix-Free Parallel Scalable Multilevel Deflation Preconditioning for Heterogeneous Time-Harmonic Wave Problems
Jinqiang Chen, Vandana Dwarka, Cornelis Vuik
We present a matrix-free parallel scalable multilevel deflation preconditioned method for heterogeneous time-harmonic wave problems. Building on the higher-order deflation precondi…