Samuel Berchuck

According to our database, Samuel Berchuck authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

2025

Calibrated Bayesian Uncertainty in Random Feature Regression via Optimal Posterior Tempering.

Sayan Mukherjee, Samuel I. Berchuck

Bull. Comput. Data Sci., 2025

2023

Enhancing early autism prediction based on electronic records using clinical narratives.

Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson

J. Biomed. Informatics, August, 2023

Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression.

Youngsoo Baek, Samuel Berchuck, Sayan Mukherjee

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

SpanPredict: Extraction of Predictive Document Spans with Neural Attention.

Vivek Subramanian, Matthew Engelhard, Samuel Berchuck, Liqun Chen, Ricardo Henao, Lawrence Carin

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Neural Conditional Event Time Models.

Matthew Engelhard, Samuel Berchuck, Joshua D'Arcy, Ricardo Henao

Proceedings of the Machine Learning for Healthcare Conference, 2020