most citedDeep learning-based statistical noise reduction for multidimensional spectral data

45 citations · 45 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2026

Continual Data Unlearning in Diffusion Models via Transition-based Regularization

Sunbeom Jeong, Sehwan Kim, Sangwoo Hong +1

Data unlearning in diffusion models aims to remove the influence of specific training examples without suppressing the broader concepts they represent. However, when deletion reque…

cs.LG2021★ 45 cited

Deep learning-based statistical noise reduction for multidimensional spectral data

Younsik Kim, Dongjin Oh, Soonsang Huh +13

In spectroscopic experiments, data acquisition in multi-dimensional phase space may require long acquisition time, owing to the large phase space volume to be covered. In such case…