2 citations · 2 across the 4 of their papers we have counts for
4 papers
Foundations of Large Language Model Compression -- Part 1: Weight Quantization
Sean I. Young
In recent years, compression of large language models (LLMs) has emerged as an important problem to enable language model deployment on resource-constrained devices, reduce computa…
Diffeomorphic Multi-Resolution Deep Learning Registration for Applications in Breast MRI
Matthew G. French, Gonzalo D. Maso Talou, Thiranja P. Babarenda Gamage +6
In breast surgical planning, accurate registration of MR images across patient positions has the potential to improve the localisation of tumours during breast cancer treatment. Wh…
SUD: Supervision by Denoising Diffusion Models for Image Reconstruction
Matthew A. Chan, Sean I. Young, Christopher A. Metzler
Many imaging inverse problems$\unicode{x2014}$such as image-dependent in-painting and dehazing$\unicode{x2014}$are challenging because their forward models are unknown or depend on…
Automatic Segmentation of the Placenta in BOLD MRI Time Series
S. Mazdak Abulnaga, Sean I. Young, Katherine Hobgood +5
Blood oxygen level dependent (BOLD) MRI with maternal hyperoxia can assess oxygen transport within the placenta and has emerged as a promising tool to study placental function. Mea…