2 papers
astro-ph.IM2025
Benchmarking Dimensionality Reduction Methods for High-Dimensional ALMA Image Cubes
Haley N. Scolati, Ryan A. Loomis, Anthony J. Remijan +1
High-dimensional astronomical data cubes provide a wealth of spectral and structural information that can be used to study astrophysical and chemical processes. The complexity and…
quant-ph2024
Accelerating Quantum Emitter Characterization with Latent Neural Ordinary Differential Equations
Andrew H. Proppe, Kin Long Kelvin Lee, Weiwei Sun +3
Deep neural network models can be used to learn complex dynamics from data and reconstruct sparse or noisy signals, thereby accelerating and augmenting experimental measurements. E…