Emma Slade

According to our database, Emma Slade authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Out-of-distribution evaluations of channel agnostic masked autoencoders in fluorescence microscopy.

Christian John Hurry, Jinjie Zhang, Olubukola Ishola, Emma Slade, Cuong Q. Nguyen

CoRR, March, 2025

Dataset Distillation as Pushforward Optimal Quantization.

Hong Ye Tan, Emma Slade

CoRR, January, 2025

User acceptance of autonomous vehicles: a mixed-methods study.

Xiaofan Chen, Emma Slade, Xiaojun Wang, Davit Marikyan

Ind. Manag. Data Syst., 2025

2023

Self-supervised learning of multi-omics embeddings in the low-label, high-data regime.

Christian John Hurry, Emma Slade

CoRR, 2023

Mining of Single-Class by Active Learning for Semantic Segmentation.

Hugues Lambert, Emma Slade

CoRR, 2023

2022

Deep reinforced active learning for multi-class image classification.

Emma Slade, Kim M. Branson

CoRR, 2022

2021

GNisi: A graph network for reconstructing Ising models from multivariate binarized data.

Emma Slade, Sonya Kiselgof, Lena Granovsky, Jeremy L. England

CoRR, 2021

Data efficiency in graph networks through equivariance.

Francesco Farina, Emma Slade

CoRR, 2021

Symmetry-driven graph neural networks.

Francesco Farina, Emma Slade

CoRR, 2021

Beyond permutation equivariance in graph networks.

Emma Slade, Francesco Farina

CoRR, 2021