Stephen Salerno

According to our database, Stephen Salerno authored at least 7 papers between 2022 and 2026.

Collaborative distances:

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

2026

Spatially Robust Inference with Predicted and Missing at Random Labels.

Stephen Salerno, Zhenke Wu, Tyler H. McCormick

CoRR, March, 2026

PanCanBench: A Comprehensive Benchmark for Evaluating Large Language Models in Pancreatic Oncology.

Yimin Zhao, Sheela R. Damle, Simone E. Dekker, Scott Geng, Karly Williams Silva, Jesse J. Hubbard, Manuel F. Fernandez, Fatima Zelada-Arenas, Alejandra Alvarez, Brianne Flores, Alexis Rodriguez, Stephen Salerno, Carrie Wright, Zihao Wang, Pang Wei Koh, Jeffrey T. Leek

CoRR, March, 2026

2025

Do We Really Even Need Data? A Modern Look at Drawing Inference with Predicted Data.

Stephen Salerno, Kentaro Hoffman, Awan Afiaz, Anna Neufeld, Tyler H. McCormick, Jeffrey T. Leek

CoRR, December, 2025

ipd: an R package for conducting inference on predicted data.

Stephen Salerno, Jiacheng Miao, Awan Afiaz, Kentaro Hoffman, Anna Neufeld, Qiongshi Lu, Tyler H. McCormick, Jeffrey T. Leek

Bioinform., 2025

2024

From Narratives to Numbers: Valid Inference Using Language Model Predictions from Verbal Autopsy Narratives.

Shuxian Fan, Adam Visokay, Kentaro Hoffman, Stephen Salerno, Li Liu, Jeffrey T. Leek, Tyler H. McCormick

CoRR, 2024

Do We Really Even Need Data?

Kentaro Hoffman, Stephen Salerno, Awan Afiaz, Jeffrey T. Leek, Tyler H. McCormick

CoRR, 2024

2022

Deep Learning of Semi-Competing Risk Data via a New Neural Expectation-Maximization Algorithm.

Stephen Salerno, Yi Li

CoRR, 2022