Ethan Harvey

According to our database, Ethan Harvey authored at least 10 papers between 2022 and 2026.

Collaborative distances:

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

2026

Normal Guidance is what Attention Needs.

Ethan Harvey, Dennis Johan Loevlie, Michael C. Hughes

CoRR, May, 2026

A Multi-Dataset Benchmark of Multiple Instance Learning for 3D Neuroimage Classification.

Ethan Harvey, Dennis Johan Loevlie, Amir Ali Satani, Wansu Chen, David M. Kent, Michael C. Hughes

CoRR, April, 2026

Occam's Razor is Only as Sharp as Your ELBO.

Ethan Harvey, Michael C. Hughes

CoRR, April, 2026

2025

Synthetic Data Reveals Generalization Gaps in Correlated Multiple Instance Learning.

Ethan Harvey, Dennis Johan Loevlie, Michael C. Hughes

CoRR, October, 2025

Learning Hyperparameters via a Data-Emphasized Variational Objective.

Ethan Harvey, Mikhail Petrov, Michael C. Hughes

CoRR, February, 2025

2024

Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported.

Ethan Harvey, Mikhail Petrov, Michael C. Hughes

Trans. Mach. Learn. Res., 2024

Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective.

Ethan Harvey, Mikhail Petrov, Michael C. Hughes

CoRR, 2024

2023

A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infections.

Ethan Harvey, Junzi Dong, Erina Ghosh, Ali Samadani

CoRR, 2023

A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data.

Ethan Harvey, Wansu Chen, David M. Kent, Michael C. Hughes

Proceedings of the Machine Learning for Health, 2023

2022

Toward Life-Long Creative Problem Solving: Using World Models for Increased Performance in Novelty Resolution.

Evana Gizzi, Wo Wei Lin, Mateo Guaman Castro, Ethan Harvey, Jivko Sinapov

Proceedings of the 13th International Conference on Computational Creativity, 2022