3 papers
cs.LG2025
Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy
Christian John Hurry, Jinjie Zhang, Olubukola Ishola +2
Developing computer vision for high-content screening is challenging due to various sources of distribution-shift caused by changes in experimental conditions, perturbagens, and fl…
cs.LG2025
Dataset Distillation as Pushforward Optimal Quantization
Hong Ye Tan, Emma Slade
Dataset distillation aims to find a synthetic training set such that training on the synthetic data achieves similar performance to training on real data, with orders of magnitude…
cs.LG2023
Self-supervised learning of multi-omics embeddings in the low-label, high-data regime
Christian John Hurry, Emma Slade
Contrastive, self-supervised learning (SSL) is used to train a model that predicts cancer type from miRNA, mRNA or RPPA expression data. This model, a pretrained FT-Transformer, is…